German technology major 麻豆原创 launched its metaverse initiative to accelerate cloud adoption among Indian enterprises in June. In an interview, Kulmeet Bawa, president and managing director, 麻豆原创 Indian Subcontinent, talks about the company鈥檚 focus on the metaverse, its early adopters, and its strategy to tap into the small and medium business (SMB) market. Edited excerpts:

What drove your decision to launch the metaverse initiative in India?

The metaverse is the future. It represents the current experience economy, providing an immersive, interactive avenue like never before. 麻豆原创 has built a whole network of 鈥楨xperience Centres鈥� globally to bring our solutions to people in the best way possible. By leveraging the metaverse, we at 麻豆原创 hope to revolutionize various elements of our customer experience and build a network of sustainable cloud companies within a truly digital universe.

We recently launched an immerse, experiential 鈥渃loud on wheels” platform aimed at accelerating cloud adoption among Indian enterprises. Designed to engage digital-first audiences, this platform will enable customers across phases of their digital transformation to experience the full range of 鈥楻ise with 麻豆原创鈥� offerings and enable them to reimagine processes for improved business outcomes. We have traditionally been applying digital twin technology to help customers gain insight into and predict real scenarios. Now by expanding into the metaverse, we aim to introduce measures to support digital B2B services such as state-of-art technologies like 鈥楻ise with 麻豆原创鈥�, 麻豆原创鈥檚 Digital Core, Procurement, Customer, and People Experience solutions.

Finally, we believe metaverse is a great opportunity for enterprises to explore new use cases. We will, therefore, continue to conceptualize the potential impact of this new concept on our business, including identifying existing workstreams, defining goals and processes, etc.

What are the early signs of metaverse adoption in India? Which sectors are showing early interest?

A recently published report stated that India ranks fifth in terms of interest in metaverse projects. Some of this interest could be attributed to a young population, growing domestic consumption, a vibrant startup ecosystem, and a large tech talent pool. In terms of sectors, the gaming industry dominates the adoption of the metaverse, followed by the technology and retail industry.

In the last few months, we have also seen young consumers get more creative in their own lives. For example, a couple from Tamil Nadu who got married on the metaverse was in the news. With time, the interest and applications of the technology will only increase.

Therefore, it is crucial that Indian enterprises ready themselves for emerging opportunities in the metaverse space, backed by a skilled workforce and relevant service offerings.

What is your strategy to tap into the SMB segment in India?

The SMB segment already accounts for about 80% of our customer base in India. We have invested 鈧�500 crore to localize our multi-cloud strategy to help Indian businesses become more resilient. Our multi-cloud strategy aims to help our customers enjoy the benefits of our platform on their choice of cloud infrastructure. The goal is to provide rapid innovation while providing flexibility 鈥� like cloud vendor of choice, a larger network of available regions, reliability through hyper-scale infrastructures and capabilities, and agility to our clients. Some of our customers who have adopted these solutions in India include Cera Sanitaryware, Luminous Power, Virescent Infrastructure, Puravankara, WayCool Foods and Products Pvt. Ltd.

What could be the challenges to 麻豆原创鈥檚 metaverse-led cloud acceleration strategy?

As is the case with any new and emerging technology, each opportunity comes with certain additional prerequisites and learnings. For example, some use cases may need an extensive physical, technical modern digital infrastructure, from VR headsets to other types of devices that augment the experiences. For a more comprehensive and holistic experience, huge amounts of data must be produced. Real-world computing and storage power directly influences the size and extent of the metaverse. And this means going beyond mere technical migration. That said, the metaverse is where 麻豆原创 India is already observing from a distance. We are committed to enabling our customers to adjust their businesses to today鈥檚 environment, adopt modern processes and increase automation through intelligent technologies.

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Amul sparked India’s white revolution, transforming the dairy cooperative movement while rallying and easing the plight of millions of Indian farmers. As Amul’s long-term business partner, we at 麻豆原创 India, are extremely proud of the company’s success, which has inspired an entire nation and demonstrated the importance of cooperative enterprises in nation-building and development.

The Beginning – From Cow to Consumer

The “Amul” brand is promoted by the Gujarat Cooperative Milk Marketing Federation (GCMMF) Ltd., India’s largest food product organization, and the Dairy Cooperatives of Gujarat’s apex organization. In 2021-22, the company’s annual group turnover was INR 63,000 crores (USD 8.4 billion). Amul has grown into an iconic, local brand that is now the world’s eighth-largest dairy company in the previous two decades.

In the last 75 years, we’ve seen:

• Gujarat’s dairy cooperatives have created an economic network that connects more than 3.6 million village milk producers with millions of Indian and international consumers.
• They gather an average of 267 lakh litres of milk per day from their producer members (26.7 million litres per day).
• More than 70% of the population is made up of small-scale farmers and landless laborers, with a significant number of tribal people and scheduled castes.
• The GCMMF and its member unions ensure that 80-85% of consumer rupees are returned to milk producer members.

The IT Call

Although Amul鈥檚 success propelled India into the world’s largest producer of milk and milk products, the journey to it has been a long one. As the company鈥檚 operations grew exponentially, it required a robust solution that could provide an end-to-end supply chain with dairy-specific functionality, tighter integration between the sales and distribution arms, and in general bring all its entities to work on a common set of processes and technology systems, with the same level of business process maturity. Additionally, Amul also experienced data discrepancies and inaccuracies, slowing down overall business processes and efficiencies.

Amul then roped in 麻豆原创 India to optimize business processes and drive company-wide digital transformation using 麻豆原创鈥檚 digital core ERP and supply chain solutions. 麻豆原创鈥檚 platform helped Amul scale its operations and broaden its milk product category, releasing over 100 products.

Amul is also a member of 麻豆原创’s Global Advisory Council, which aims to foster thought leadership and gather consumer feedback to help the company and the industry flourish.

Amul’s goal is to double farmers’ income in the next two years by improving support through cattle feed support programs, skill enhancement, and veterinary services, for which 麻豆原创 is collaborating with the company to build an IoT platform and truly transform it into an “intelligent, sustainable enterprise.”

鈥淭he best way to predict your future is to create it,鈥�- Abraham Lincoln

Technology has been instrumental in driving Amul鈥檚 digital business transformation, opening new avenues for economic growth and socio-cultural changes at India鈥檚 grassroots. But it’s crucial to realize that no single company, industry, or country can solve these problems on its own as we work toward a more equal and social society. While Amul’s developmental model has provided a framework for all of us, India’s greatest success will come from sharing our lessons gained and aiding one another in reaching our common aspirations for a better, more just, and equal future.

It is in this spirit now that Amul and 麻豆原创 India, have launched a collaborative community outreach initiative, that will make technology accessible to the remote communities of Bharat and help transform the lives of millions of kids, adolescents, youth, women, and farmers. Through this, both the companies aim to empower people with technology, in the remotest areas of Gujarat, to drive new engines of growth and opportunities in a way, that benefits everyone and drives the vision of an 鈥楢tmanirbhar Bharat鈥� or a 鈥楽elf-reliant India.鈥�

Using Digital Transformation to help India run better and transform people鈥檚 lives

As a part of the program, the companies will:

• Develop digitally-savvy communities: by imparting digital literacy, coding, problem-solving and English skills to 100,000 children, adolescents, and youth via computer labs set up across 60 schools. We will also train over 250 teachers, thus enabling the adoption of India鈥檚 New Education Policy imperatives.

• Will facilitate school to Workforce transition: By promoting a STEM-focused learning environment to help students from marginalized communities to make a smoother transition from school to the workforce. Our mission is to reduce school dropouts, and improve learning outcomes, thus creating an employable talent pool and a future-ready workforce.
• Drive Women empowerment and entrepreneurship: By supporting over 20,000 young women through digital-financing skill enablement and functional communications. By strengthening support for the social business sector, our hope is to enable women with 鈥渆mployable 21st-century skills鈥� while helping them lead their own communities.
• Digital Transformation Supporting Farmer Livelihoods: By scaling community ownership & participation under Build, Operate, Transfer Model of sustainable development, by planting fruit-bearing saplings. This will help improve biodiversity, reduce soil erosion, and increase green cover, thus enhancing the livelihoods of countless Indian farmers and their families.

麻豆原创 India & Amul Partner to Transform Lives of 1.5M Indians (Video):

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However, conventional modes of data distribution and management can be overburdened while dealing with large volumes. With a centralized data center and bandwidth limitations, the traditional model is not suitable for today鈥檚 fast-paced digital-first world. This is where edge computing architecture can help businesses.

Simply put, edge computing relocates storage and compute resources away from the central data center and closer to the data source. Instead of sending raw data to the main data center for processing and analysis, this work is done where the data is created, whether in a retail store, a factory floor or a large utility. Any place with a human or machine connection that requires a quick reaction to changing conditions becomes an edge. Edge computing devices 鈥� such as sensors, instruments, cameras and other hardware 鈥� are the other players in a system designed to make decisions in real-time.

Why is edge computing necessary?

According to听, 75% of enterprise-generated data will be created outside centralized data centers by 2025.听听also says that by 2023, more than half of the new enterprise IT infrastructure will be deployed at the periphery rather than in corporate data centers. The prospect of transmitting so much data in situations where time or interruption is critical, places an enormous demand on the global internet, already prone to congestion and disruption.

Edge computing allows for reduced latency; the time taken for exchange of data between a data center and an end user for taking a decision is significantly reduced. This is possible due to microservices deployed at the Edge. These extend the processing power of the digital core and can:

• compute locally,
• persist without having to communicate with centrally located data centers repeatedly, and
• run business processes at the edge.

At a time when customers have come to expect seamless, real-time, omnichannel interactions in the digital world, faster response times can make or break a deal. No wonder then, that during the past year,听听of edge computing stated that reduced latency was one of the most important factors that persuaded them to adopt this technology.

How edge computing makes systems autonomous

With IoT becoming ubiquitous, a large volume of data is generated on a daily basis. Edge computing allows devices to store, analyze and process this data autonomously. The autonomous nature of edge computing is further enhanced through mobility support. An example of this is the Locator ID Separation Protocol (LISP), which decouples the location identity from the host identity. Instead, it implements a distributed directory system, thus allowing the system to communicate with mobile devices directly.

Using Edge Computing Nodes (ECNs), edge computing can bridge the gap between the physical world and the digital world. When ECNs act as smart gateways for systems, assets and services, the dense network of modern edge computing frameworks can carry out autonomous business processes.

Thus, users and businesses can leverage the efficiencies of cloud computing while benefiting from locality. This is used even in critical tools like fog-based vehicular safety applications and edge-based disaster management systems.

Goals of edge computing

While the frameworks of edge computing systems may be different, depending on how an organization intends to use them, the听听that these systems are designed to achieve are common.听These include-

• Effectively supporting development services, deployment operations, data processing and security in networked systems.
• Designing a real-time and systematic cognitive model of the physical world and achieving cooperation between the two.
• Establishing reusable knowledge model systems in each vertical industry and completing cross-industry ecological cooperation.
• Developing system to system, service to service and other model-based interfaces for interaction.

What can edge computing offer to an organization?

Today, data is the new oil. The amount of data generated by devices worldwide has听听from 218 Zettabytes (ZB) in 2016 to 847 ZB in 2021. By efficiently handling enormous volumes of data, edge architecture is becoming an essential part of the corporate IT landscape. In fact, over half of the data traffic in global data centers will have been stored, processed and analyzed on the edge of the networks by the end of this year.

The benefits of edge computing are multiple. However, the core benefits that it affords to the user are-

• Improves speed and performance

Response and analysis times and uptimes can be vastly improved through uninterrupted and seamless data transmission. The data transmission is carried out without having to depend on bandwidth, connectivity, or latency. This enables faster processing and real-time adjustments, leading to seamless production, better customer service and greater profits. The usage data can also be leveraged as input for future maintenance and service strategies.

• Reduces data transmission and communication costs

Spending can be brought down through intelligent data throttling. This means that unnecessary and repeated data transmission processes can be avoided, by storing and analyzing data locally. Computing costs can also be optimized by prioritizing which data to process locally and which data to send back to the digital core. When data transmission is controlled, energy costs are also lowered.

Conventional computing networks require a centralized data center. These data centers are expensive to build, acquire and manage. This becomes a costly operation, especially for small and medium businesses. Even businesses with existing data centers can find it challenging to expand their capacities, upgrade these facilities, or hire larger ones. Edge computing removes the need for building such dedicated centers, and allows resources to be allocated elsewhere.

• Enhances decision-making ability

Edge computing allows the processing and analyzing of data within an intelligent device, even when the resources are not connected to a network. This allows real-time decision-making and agile and adaptable responses.

This also helps identify system issues or potential bottlenecks. For example, real-time analysis of data from IoT sensors can lead to product quality issues being flagged. With the help of alerts and notifications, wastage due to non-conforming or defective assembly of items can also be reduced. The anomaly detection at low latency saves costs and makes the whole environment resilient.

Even complex processes such as enterprise asset management can be executed autonomously at the edge. It also enables the system to pre-process IoT workloads from assets at the edge, helping to conserve bandwidth and manage intermittent connectivity issues. Predictive models can also be executed at the edge to carry out inference.

• Reduces loss of data听

Edge computing systems allow safe transmission and storage of data, ensuring that any element in the system does not become a single point of failure. Removing the need for constant data transactions with the central storage core also reduces the risk of losing sensitive data stored there.

These systems also increase productivity by conserving bandwidth and making the system autonomous. This means that even if there are intermittent connectivity issues, the employees can keep doing their jobs.

• Improves security of data

Edge computing can assist in network security and data privacy. Data is spread across the machines that produce it because it is decentralized. Hackers will find it more difficult to gain access to the entire network or compromise all data in a single attack because of this. In the event of a cyberattack, the network’s impacted area can be turned off or limited, resulting in only one device being hacked. This minimizes the susceptibility of other network devices.

• Eliminates excess data

When typical cloud computing designs are used, data accumulates relatively quickly in cloud storage (like data from IoT sensors). Because most of this data is not valuable, businesses waste a lot of money maintaining information they will most likely never utilize. Edge computing can help by just transmitting useful data to the cloud, where it is processed.

• Helps make data analysis faster

Edge computing’s local processing enables higher levels of intelligence to come into the data analytics process from the starting itself. This allows you to generate a more precise set of data and speed up the analysis and decision-making, which would otherwise be deployed later in the process. So, edge computing does away with the possibility that analytics would take longer and be less focused.

When combined with futuristic technologies like 5G, Internet of Things (IoT) and Augmented Reality, edge computing can decentralize traditional IT infrastructure and speed up the transition to the future. Edge computing will also continue to pave the way for new and beneficial services, applications, and use cases as it grows, helping businesses using it to get the听competitive edge.

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Today鈥檚 organizations generate a lot of data, and the听digital asset management听of the collected data is necessary to take advantage of the same.听The digital era has given birth to ideas and concepts that were before unimaginable. Digitization, digitalization, and digital transformation are three of them. It’s difficult to tell the difference between them because they’re often used interchangeably.听However, knowing the difference is critical for the organization’s business development team as they aim to welcome them on their technological travels.

Difference between Digitization, Digitalization, and Digital Transformation

The terms digitization, digitalization, and digital听transformation听all appear to be the same and are often a source of confusion, but these are certainly very different.

In simple terms,听Digitization听focuses more on internal optimization of processes like automating tasks and minimizing paperwork.听Digitalization听goes far beyond that. It refers to听digital asset management听that helps your firm achieve higher growth, among other benefits.

Digitization is crucial for digitalization. It is used to convert information from analog to digital format. At the same time, digitalization uses digital technologies and data to create new opportunities that change the way customers and businesses interact with each other.

Digital transformation听is the actual corporate transformation that is made possible by听digitalization. The term 鈥榙igital鈥� in the name is a bit misleading; the essence of digital transformation is a change in business processes or business culture, implemented via technology.

Impact of digitalization on enterprises

To be competitive in this new commercial and economic situation, the tactics and technology adopted by organizations need to change. Most executives see the strategic value of technology as an important part of doing business, not just as a source of cost savings.听

In 2004,听Target听outsourced its听, which is considered supplementary, to Amazon. Target redesigned its location and devised a new and updated design that blurred the line between e-commerce and physical stores. Tremendous changes were made in more than 400 stores, which were rebuilt and outfitted using modern technology. Innovation in services also took place in online ordering, in-store pickup, and curbside food pickup.

These investments provided a huge advantage to Target during the pandemic. The sales through curbside pickup service increased by听. The market share of the company increased by $9 Billion, adding $15 Billion to its revenue.

Another example is听贬补蝉产谤辞,听the toy and gaming firm that invested significant money into its digital and data strategy, including听digital asset management. The collected data was used for targeted marketing efforts across many platforms, including a more robust social media push. The information allowed the corporation to understand its clients better and provide parents with appropriate toy and game recommendations. In Q4 of 2020, Hasbro reported more than听听in online sales, an increase of 43% YOY.

Digitized change lies in utilizing new advancements to guarantee the adaptability and versatility requested by clients. Applications providers and technology and infrastructure merchants have acknowledged and profited from the force of innovative advancements like cloud, big data, mobile, social, sensors, and so on.

Here are听nine ways听how digitalization impacts medium and large-scale businesses and helps them to grow in today’s digital-first world:听

• Increased focus on customer behavior and needs

Customer purchasing patterns have changed drastically over time. According to Statista, around听听shopped online across the globe in 2020. With the growing trend of online purchasing, consumers may not only take advantage of the convenience of having the goods delivered to their door, but they can also compare a brand鈥檚 products and services to those of companies in other industries.

Today, every brand wants to improve the online product purchase experience for its consumers and increase the efficiency of all processes to satisfy their expectations.

• Innovation is fuelled by digitalization

Digitalization has a significant influence on innovation. As technologies become more advanced and innovative to meet customers鈥� demands, new industry trends and possibilities are likely to emerge.

Online banking is one of the most well-known examples of innovation propelled by digitalization. With quick, dependable, and secure mobile applications, you can effortlessly transfer or manage your money. You can even use the online banking app to pay your prepaid and postpaid bills, without having to leave your house.

• Social media makes it easier to reach customers听

Social media platforms such as Facebook, Instagram, Twitter, Snapchat and various others have gained a significant influence due to digitalization. Businesses see these platforms as a chance to expand and enhance brand exposure in the digital era. Now, an online user is most likely to come across content created by various organizations to promote their brands, launch new products etc. As per听, the importance of online presence has increased post the pandemic, and only about 20% of B2B customers are expected to return to in-person sales.

听is a superb example of a traditional company that uses social media to increase its brand image. Rolex stands for class, and appeals to the customers by emphasizing its unique, timeless products. The luxury appeal of its high-value products is enhanced with the help of sleek and minimalist visuals in its photography, videos, and other visual work. Such high-quality product photographs enable the brand to have a higher recall value and stand apart from competitors.

• Reduction in human errors

Business operations have become more streamlined because of digitalization, resulting in lower operating costs. Automation has taken away repetitive and mundane tasks from human employees, lowering the chances of errors. For example, people-powered data entries take a long time to be vetted, verified and cleaned up before they can be used for any purpose. Data that is incomplete or incorrect can stymie product launches and bias strategic analysis. All these hurdles can be done away with through digitalization.

• Real-time data gathering and analysis is possible

Over the past few decades, organizations have relied on data collected from various sources, manual data cleansing and standardization. This traditional analytical model is labor-intensive, costly, time-consuming, and depends too much on the skills of data analysts.

Digital media marketers can now capture data, store it, analyze it and communicate results, all in a matter of minutes. This provides businesses with valuable customer knowledge in one place. Marketers can also look at campaigns to see what’s working and what’s not, so businesses can quickly adapt to the current trends to improve their results.

• Introduction of new communication channels

The use of digital technology has resulted in the introduction of new communication channels as well as a rise in a company’s digital presence. Emails, smartphone apps, and social media are just a few examples of the current communication methods. Forward-looking companies are aiming at creating a seamlessapproach for their customers. Here, their experience of interacting with the company using numerous digital communication channels is smooth and enjoyable.

• Pooling of knowledge sources and skills

We now have access to limitless experiences and data, thanks to digitalization. Every business can utilize information that exists outside conventional bounds. Similarly, companies that understand how to bring collaborative groups together can grow and generate surplus economic value. Digitization allows diverse individuals to collaborate, bridging the gap between IT and non-IT departments and changing the way firms generate value.

• Transaction costs are lower

Documentation, reconciliation, mail generation, calling, data entry, overtime, and supervision are those areas where digitalization facilitates the reduction in costs. Online businesses see easier operation management, which leads to lowered transaction costs.

• Expansion in Revenue

The primary goal of any business is income generation; higher the revenue, greater the growth. A colossal effect impact on revenue generation is observed in organizations that have introduced digital changes. Using innovative digital solutions in your organization provides you a competitive advantage, and a well-thought-out digitalization strategy may help you rethink procedures, enhance quality, and promote consistency.听

In conclusion

Thus, digitalization is more an opportunity than a challenge for all companies, regardless of their industry, location, or market. Digitally driven advances have not only changed the enterprise but have redefined the scope of leadership. To explore the full potential of such a change, choose an experienced partner like 麻豆原创 that can combine multi-industry expertise with state-of-the-art technical capabilities.

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The awards received over 150 project nominations competing across major categories with a distinct focus on Customer Experience, Manufacturing, Finance, Sustainability, and Community. Further, emphasising on Industry recognitions where听 听mining and steel sector received most of the accolades along with power and utilities, and infrastructure.

鈥�2021 witnessed Indian enterprises adopting radical innovations and embracing sustainability to ensure business continuity. The 鈥樎槎乖� ACE Awards 2021鈥� winners have demonstrated the resilience of the highest order and have emerged stronger and more relevant than ever before. Heartiest congratulations to all winners as they continue to make strides towards their evolution and contribute to the transformation of our country鈥�, said Kulmeet Bawa, President and Managing Director, 麻豆原创 India Subcontinent.

As part of the methodical process, all the front running nominees were assessed by an eminent jury nominated by the management board of 麻豆原创 India User Group ().

麻豆原创 ACE Award Winners 2021

About 麻豆原创 ACE Awards

Since its inception in 2006, 麻豆原创 ACE Awards have kept pace with the evolving market and technology landscapes and is today, considered as of one the most coveted recognitions in the industry.听The 2021 edition of 麻豆原创 ACE features new Award categories aligned to the current business environments and also features a much easier to use, online interface, making your experience of filing nominations simple and efficient. However, 麻豆原创 ACE continues to retain its stringent three-level evaluation process, with an eminent jury deciding on the final winners.

Presented by INDUS, the 麻豆原创 India User Group, 麻豆原创 ACE 2021 will feature multiple recognitions for technology-led innovations across four segments 鈥� The Game Changer, The Disruptor, The Community Catalyst and The Sustainability Champion.

About 麻豆原创

As the Experience Company powered by the Intelligent Enterprise, 麻豆原创 is the market leader in enterprise application software, helping companies of all sizes and in all industries run at their best: 77% of the world鈥檚 transaction revenue touches an 麻豆原创 system. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables more than 437,000 business and public customers to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

For further information please contact:

Chaya Arora –听chaya.arora@sap.com

Shristi Mahnot –听shristi.mahnot@genesis-bcw.com

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IoT has proven to bring profits for supply chain management systems. Besides financial gains, IoT can also bring visibility, transparency, adaption, flexibility, and virtualization across the supply chains. And each of these aspects becomes crucial to the sector, given consumers鈥� demand for ethical and fair-trade food as also the need for food safety. IoT can help the industry enhance output and productivity at the agricultural, storage, and delivery stages. These services can be performed through operations including-

• Supply chain management
• Greenhouse monitoring
• Social media for open innovation and sentiment analysis
• Intelligent farm machines and drone-based crop imaging
• Food quality assessment using spectral methods and sensor fusion
• Food safety monitoring, using of gene sequencing and Blockchain-based digital traceability

According to research by By 2025, the market for the food industry is expected to be growing at a CAGR of 7%.

Let鈥檚 look at the application of IoT across the three significant stages of the farm to fork supply chain:

At the agricultural end

IoT has broadened the possibilities of achieving maximum production and has helped the industry stay environment friendly. IoT tools like cloud computing and sensors have made managing water and soil, water distribution, and accessing meteorological information easier. Technology requirements in the agricultural industry are also growing due to the increased awareness about product origin and process stability among consumers. Proper storage and distribution of the produce are also important factors that have led to increased use of IoT at the agricultural level.

Some examples of innovative use of IoT in agriculture

• Continuous monitoring of quantity and quality of the grain in silos
• Controlling irrigation and use of fertilizers for traditional and hydroponic agriculture
• Use of RFID sensors and egg detectors to analyze the behavior and plan remedies for the welfare of hens in poultry farms
• Use of multispectral images to analyze and control crop quality
• Use of neural networks, support vector machines, and electronic smell techniques to rapidly detect moldy apples in cold stores
• Use of an insect surveillance system in open fields using vibro-acoustic sensors

At the resource management end, IoT can create a 鈥榮mart鈥� farming environment. Using tools such as cloud computing, big data, multiple-communication-protocol management, artificial intelligence and distributed ledger technologies like Blockchain, the resources can be better utilized and produce increased. These tools can also improve the traceability and productivity of the manufacturing and packaging processes.

With the help of these tools, IoT can perform functions such as comprehensive analysis, predictions and recommendations. IoT can also execute task automation, considering historical and real-time information about crops, machinery, livestock, or humans. All these allow farmers and supply chain managers to foresee factors such as production levels, storage requirements, distribution, and supply chain plans. Such data enables supply chain heads to plan their strategies in advance.

At the storage end

IoT systems can be used to reduce wastage of food products at the storage and transportation ends. This also ensures improved food safety by the utilization of tools such as real-time temperature tracking sensors.听The sensors can also be used to manage temperatures in the storage facility. They can also be used to monitor other food safety parameters such as听moisture,听humidity, pH and odor.

IoT devices allow supply chain heads to trace and monitor goods from the production end right up to last-mile delivery. This helps the brands to gather granular and real-time data. This data can be used to improve both systems and processes, such as optimizing production and distribution schedules. By enabling supply chain heads to monitor food safety data points, the IoT systems assure active cold chain management. IoT for food supply chain management has helped organizations gain higher profits and improved customer satisfaction. It has also assisted supply chain heads to听save energy through efficient energy spending.

allow supply chain heads to manage warehouses, silos and other storage spaces efficiently. On-premises and cloud deployment of IoT applications allows integration of quality, production, and track-and-trace processes. This ensures direct control of warehouse automation equipment and managing high-volume warehouse operations. By integrating complex supply chain management with warehouse and distribution processes, IoT-based technology allows for the efficient handling of inventories remotely and in real-time. For example, Unmanned Aerial Vehicles (UAVs) are used to maintain stocks and perform traceability tasks in storage facilities. For this purpose, some UAV-based systems make use of a scanner installed on the vehicle. The vehicle performs a pre-defined flight and the scanner reads听the barcodes.

The warehouse management system comes with the below-mentioned features to ensure safe storage and reduced wastage:

• Advanced shipment notification
• Maintenance, replenishment, slotting, and rearrangement of inventory
• Transportation wave management
• Packing control and process monitoring

At the delivery end

Another supply chain component where food products need extra care is the delivery and transportation process. With the help of an IoT-powered transportation logistics tool, this critical process can be streamlined in real-time and monitored remotely. For example, IoT-based applications such as QR codes and radio-frequency identification (RFID) tags can monitor goods’ movement. Other technologies such as Blockchain let supply chain heads trace a good throughout the entire cycle. These applications provide minute-by-minute visibility into transportation and ensure safe and cost-effective shipment of the product.

Further, Blockchain鈥檚 distributed ledger is almost impossible to alter, making it a perfect tool for maintaining a detailed record of the exchange of ownership that occurs throughout supply chains. Thus, IoT allows users to control and monitor risks cost-effectively and launch remedial measures to strengthen the supply chain process and prevent security breaches.

Some other essential features of IoT-based transportation management software are

• Tracking and monitoring transportation resources
• Forecasting supply and demand using enhanced computation models
• Improving transportation resource planning by stimulating scenarios to rectify and prevent imbalances
• Enhancing empty resource movement by finding the optimal locations and dates for the pick-up and return of transportation resources
• Setting up event-triggered alerts for timely warnings

• Automated selling

Food chains can use IoT-based transportation logistics tools to make convenient and timely deliveries to customers. Through efficient supply chain systems, stocks can be managed and replenished in time. IoT-based systems are also being used to directly sell the products to consumers, for example, at vending machines.

• E-tags

The use of e-tags can also prove time-saving and convenient for both customers and the service personnel at the stores. These e-tags are low-cost and use an electronic ink (e-Ink) display. These can be used during the transportation and storage of food items, where they help to monitor the stock. In retail food stores, they can help to monitor shelf life of food items to reduce spoilage and to maintain the inventory. E-tags can also be used for pricing in a store, since they are adaptable and can sync with different sensors in the store. For example, by adapting with a temperature sensor, e-tags can help implement a temperature-controlled inventory management and听supply chain听system.

• RFID tags

Radio Frequency Identification (RFID) tags facilitate a circuit to broadcast information to an end-user user through a secure system network. RFID tags help retail owners to track and monitor consumer preferences, understand market requirements, and reduce wastage of resources. They can also be used to听track and trace perishable food items. Another critical function of the RFID technology is that it can identify the direction of tags. This is done through听RFID gates, which can determine whether the听products are being received or shipped through the gate.

The data听generated through RFID technology can then be used听to

• Personalize customer interactions
• Optimize product usage
• Plan future inventories
• Design store layout and shelf displays
• Manage category

This data is also valuable for retail owners. Through RFID data, they can get听information about the temperature and humidity history听of the product they are buying during the storage and transportation process.听This empowers stores to choose the best stocks for their businesses. The data also help the customers to make the right choice while buying a food item.

Through real-time data and analysis, IoT-based systems can notify retail food stores when to restock items. It also provides notifications and alerts about faults and errors in the system. This allows to strengthen the supply chain and maintain better coordination between retail stores and supply chain heads, helping reduce losses.

The owners of retail food outlets听can also get insights into consumer behavior through data such as time spent at a kiosk and comparisons made between brands. This feature听can help design marketing campaigns and assist in analyzing the impact of existing campaigns.

These benefits are being reaped from tools like sensors to gather data and analyze it, for example, for predicting in-store wait times for customers. All this allows听greater customer听satisfaction and eventually boosts profits.

• Smart vehicles for smart deliveries

The use of smart vehicles for food delivery can significantly reduce costs associated with operation, transportation, and product handling. For example, in times of the pandemic, a major hurdle for food delivery companies has been the restrictions on movement. People staying home because of the restrictions have also been hesitant to order food online, because of apprehensions of getting infected by the delivery personnel. Using IoT and smart vehicles for food delivery can be the solution for this. Smart vehicles such as drones reduce the need for human intervention, which has become necessary in the present-day scenario of the pandemic.

IoT can thus be used for more advanced functions, such as implementing 鈥榣ast mile鈥� solutions like self-driving vehicles and drones for delivery trips between food outlets and consumer homes. For example, Ericsson, Einride, and Telia have come together to produce self-driving trucks with the help of 5G-powered IoT at the facility of a logistics firm in Sweden. Self-driving cars and drones from Ford and Amazon are already being used for making deliveries. A famous pizza chain started delivering pizza to customers in Miami听using smart cars听a couple of years ago.听All these听benefits of IoT-based systems are helping听to serve customers better by reducing waiting times and delivery periods.

IoT will only get more embedded in the food supply chain as consumers become more conscious about ethical produce and fair price. And there鈥檚 every reason to believe this bodes well for every entity across the food value chain.

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As consumers step outdoors, omnichannel will continue to hold sway. Nearly 70 percent of consumers are expected to research both in-store and online before making a buying decision, says the latest McKinsey听. What is of particular interest from this survey on U.S. consumers is the expectation that both e-commerce and brick-and-mortar business will continue to grow. Hence, implementing IoT retail software becomes increasingly important for traditional retailers as they are compelled to change their business model for in-store operations.

Consider this: large retail chains such as Macy鈥檚, American Apparel and Marks and Spencer have adopted RFID tags in their stores, while John Lewis and Tesco have launched apps that allow a customer to make payments from anywhere in the store, and not necessarily at the checkout counter. Avery Dennison uses IoT sensors to track up to 10 billion items at a time; Kroger is deploying such sensors to track and monitor cargo containers. Walmart has introduced robotics for better customer service. The list is long and ever-growing!

Reimagining the customer experience

Consumer expectations and buying habits have changed, and they are here to stay, as is reflected in a recent Accenture听. For retailers, this means an excellent opportunity to leverage technologies such as IoT to become more customer-centric. It also provides unprecedented opportunities to harness data from these connected devices to reinvent customer experience while growing their business in an informed way. So how does IoT enable this? This is possible due to

• Minimum human intervention
• Greater automation
• Remote monitoring of business operations
• Better integration of different departments
• Developing relations with businesses as well as people

IoT systems and devices, such as RFID tags, help improve store operations and augment sales. Breaking it down further, IoT can help retailers:

• Streamline their supply chain
• Enhance customer experience
• Relook inventory and instore system
  

Doubling down on elevating customer experience and customer service

One of the key learnings of the pandemic is for retailers to move away from the store and product-centric sales metrics and focus on shifting customer behavior. This will help design customer-centric strategies ranging from marketing to in-store experience. With IoT-powered retail POS software, retailers can analyze data to recreate the buyer鈥檚 persona, based on demographics and purchase history. Creating a personalized customer journey can drive the consumption of goods and services. Some use cases include:

1. Harnessing data to create personalized customer interactions could include time spent by a customer at a kiosk and whether they made comparisons between brands. This can help design the marketing campaigns, as well as assist in analyzing the success or failure of existing campaigns. Quite helpful actually, if you consider that 40% of consumers will continue to switch brands and that this number is even higher for the younger and high-income consumers, as found by .
   
2. Recommending optimized product usage, based on consumer preferences. When retailers adopt such practices, it will enable them to make strategic decisions about stock placement and replenishment, based on customer interaction with products displayed on the store shelves.
3. Reducing wait times by optimizing last-mile delivery. Increasingly, IoT is being used for more complex purposes, such as ‘last mile’ solutions like self-driving cars and drones for delivery trips between retail stores and consumer homes. For example, Ericsson, Einride, and Telia have teamed up to create at a logistics firm’s plant in Sweden using 5G-powered IoT. Even Ford and Amazon are conducting deliveries with self-driving cars and drones.

Better customer experience is also being delivered through protocols such as the IoT Gateway. The听听comprises software components that directly interact with devices. Together, they bridge the communication gap between devices, sensors, equipment, systems, and the cloud. For retailers, this allows them a never-before opportunity to know their customer better while analyzing important but often ignored data points (Think: the amount of time customer spends in the wait line to the walking route within a shopping mall to reach the brand鈥檚 outlet).

Besides delivering a better shopping experience to consumers at home, IoT-enabled retail software has also enabled smart and unstaffed retail stores where the human element is absent. Instead, all services are performed through connected technology. For the customer, this novel in-store experience only requires a smartphone.

Since the opening of the first such store in Sweden in 2016, many听unstaffed retail shops听have come up. Big companies such as听Alibaba听补苍诲听Amazon听have already launched such stores. Alibaba, in partnership with Ford, even has a听. The unmanned facility lets customers virtually 鈥榖rowse鈥� the cars stored in a vending machine, via their smartphones. Customers can then make their purchase and have the vehicle delivered at ground level.

Singapore-based telecommunication company Singtel鈥檚 unmanned retail store, named听, has taken the telecommunications scene in Singapore听by storm. Powered by facial recognition technology, Unboxed听allows customers听to consult with a roving live bot. The bot can provide personalized recommendations, phone tryouts, and mobile plan registrations at video-assisted self-serve kiosks. It also enabled the customers to collect purchases on the spot, and browse and buy accessories such as headphones, phone cases, power banks, and handsets.

Unboxed also allows customers to pay bills, top up prepaid cards and Dash wallets, and get SIM card replacements without the physical presence of company personnel. Using 5G internet, the hyper-connected store offers an unmatched consumer experience. Apart from a reliable network to support a hassle-free shopping experience, the IoT technology used in the store makes transactions easy and convenient.

Smarter inventory management for strategic decisions

One of the most popular applications of IoT-based retail software is smarter inventory management, where sensors and devices help retailers streamline inventory and be more strategic in replenishing stocks. IoT technology in both inventory and warehouse can increase visibility into production, inventory management and supply chain.

Take the case of a retailer who is seeking to enhance customer experience by ensuring products browsed online are available in the store, or that customers get access to the right product (of a particular make, model, price, size, etc.) in the right quantity at the right time. For this to happen, there needs to be a tight integration of inventory and supply chain. Solutions such as Smart Shelf Technology help streamline inventory by using real-time data analysis to provide notifications about when to restock items and providing alerts about faults and errors in the system. There are dual benefits of such alignment:

• Matching fast-moving supply with the requisite demand
• Keeping up with omnichannel retail strategies such as the 鈥樷�� (BOPS). BOPS requires a highly efficient inventory management system, as well as a time-critical delivery and notification system.

– Warehouses and other storage spaces can also be managed efficiently with the help of IoT tools like听warehouse management systems. IoT allows managing high-volume warehouse operations through applications such as on-premise and cloud deployment, completely integrated quality, production, track-and-trace procedures, and direct control of warehouse automation equipment. By integrating complex supply chain logistics with warehouse and distribution processes, IoT-based technology allows for the management of inventories remotely and in real time. These systems provide the users with features such as:

• Advanced shipment notification
• Maintenance, replenishment, slotting and rearrangement of inventory
• Transportation wave management
• Packing control and process monitoring

End-to-end supply chain visibility to counter disruptions

One of the most noticeable side effects of the global health crisis was supply chain disruption, which did not spare the retail sector either. And latest news reports state 听will get worse before it gets better. Retailers with global supply chains are likely to fare a lot worse, but here鈥檚 where technologies such as IoT kick in. By its very nature, IoT enables end-to-end visibility throughout the entire supply chain from source at origin to delivery at destination through real-time monitoring and tracking. Let鈥檚 look at how IoT in the supply chain plays out:

1. Predictive maintenance– Through听, data from sensors such as pressure and temperature sensors can be used to pre-empt any problems with a cargo. This helps to:

• Get a real-time, 360-degree view into the supply chain
• Target and eliminate potential bottlenecks
• Mitigate other risks with on-premise and cloud logistics management systems.2. Transportation planning-Provides real-time visibility into transportation resources so that customer demands can be met at minimal cost. This is done through:
• Tracking and monitoring transportation resources
• Forecasting supply and demand using advanced computation models
• Improving transportation resource planning by stimulating scenarios to correct and prevent imbalances
• Optimizing empty resource movement by finding the optimal locations and dates for the pick-up and return of transportation resources
• Creating event-triggered alerts to provide timely warnings

3. Yard Management systems-These help the retailers run more efficient and profitable supply chain logistics with a range of visualization and reporting tools. With this software, retailers can:

• Efficiently plan orders and appointments, integrate and automate resource use and incoming and outgoing transport.
• Speed up yard execution and processing, helping faster deliveries of products and services along with improved service and enhanced visibility and control.
• Identify, avoid, and solve potential issues through comprehensive graphical monitoring.
• Through accelerated gate-in and gate-out processes, efficient use of assets and areas, and increased productivity of existing equipment, the program enables retailers to achieve a significant reduction in processing time. Reduction in staffing needs also allows for faster execution of activities and increasing yard throughput.

CONCLUSION

Without a doubt, the use cases and applications for IoT-powered retail software will only continue to grow, and the possibilities are limitless. While the trend of unmanned retail stores is yet to catch on, achieving a completely human intervention-free retail world does not seem so far-fetched now. Fully-automated supermarkets are now visible in different parts of the world, with RFID tags, intelligent kiosks, virtual tables, AR applications and many more examples of in-store technologies. Other听IoT features, such as predictive engines and SSD algorithms, can also help in enhancing the efficiency of such automated retail systems.

The adoption of 鈥榮mart鈥� technologies is leading to happier consumers, as ease of use brought about by IoT-based devices听听perceived usefulness and perceived enjoyment of the product. This also positively affects shopping intention.

As the retail sector gets more crowded, data-centric retailers are undoubtedly poised for success. Yet, the inherent technological challenges need to be tackled with the help of an experienced partner. 麻豆原创 helps businesses maintain efficient and cost-effective systems for businesses. With solutions focused on听,听听补苍诲听, among many others, 麻豆原创 helps retailers leverage the power of IoT-enabled retail software and position themselves firmly on the cutting-edge of this trend.

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What is the future of IoT Services?听

The growth of IoT technology stems from a constant need to reduce human involvement with machines. From metals to the medical industry, from warehouses to homes, the tools and gadgets around us are being enabled to better understand how they are being used. This also allows enterprises to move to a predictive instead of a reactive mode, saving costs and increasing operational efficiency, among other benefits. Consider this: In a听听conducted at Port of Qingdao in China, it was found that up to 70 percent of labor costs can be saved with an IoT-enabled 5G automation upgrade compared to a traditional harbor. They found that IoT-enabled smart harbors with automated ship-to-shore (STS) cranes operated from a control center could lift containers over a 5G connection.

These are just a few examples of the advancements that IoT has made across different domains. IoT services enable greater automation, better user experience, seamless adaptability of devices, and reduced human interference in the overall workflow.

Here are some interesting use cases around IoT:

• Healthcare and IoT

The pandemic has accelerated the adoption of IoT Services. With Artificial Intelligence (AI) learning and monitoring and the development of Healthcare IoT (H-IoT) systems, opportunities for improved personalized healthcare with lower costs and eventually, better facilities for all have been made possible.听, the value of the healthcare IoT sector is expected to touch nearly $177 billion by 2026. Emerging IoT-based applications like non-invasive body-worn and implanted devices, actuators, intra-body networks of implants, and biomedical therapies in new healthcare applications can save and significantly improve the quality of life. 听is also being conducted on device and network co-design solutions. These are expected to integrate medical procedures with even more complex cyber capabilities using intra-body and extra-body communication systems based on IoT.

Coupled with IoT, these innovations have become useful not just for diagnostics and surgery, but also in data analysis for personalized human health monitoring, including intra-organ functions and ailments, biomedical therapy, remote surgery, and biometric authentication. Besides these, IoT has found use in post-operative care as well through practicing defined protocols. All this is being done through methods such as

• Fluidic diagnostic monitoring- This is a continuous and real-time monitoring of the characteristics and levels of various fluids in the body using IoT. Alerts are provided for any abnormalities in the fluid levels immediately, ensuring immediate treatment.
• Non-invasive sensors- These IoT-enabled sensors continuously monitor a patient’s condition remotely and in real-time. Non-invasive sensors include pulse oximeters, transcutaneous electrodes for Po2 and Pco2, and transcutaneous bilirubin monitors.
• Wearables (electronic health sensors) – Several wearable devices, such as smartwatches paired with smartphones, can allow for听personalized monitoring听of a person鈥檚 condition. These IoT-powered devices can monitor heartbeat, body temperature, blood pressure, blood sugar levels, and oxygen levels in the body.
• Implanted health sensors- Using IoT data, these sensors enable in-situ monitoring of the physiological conditions of a patient. IoT has proven听especially useful听for such devices. This is because the sensed measurements, including drug volumes and actuating directives, need to be communicated to an external monitoring station and body devices embedded elsewhere. For example, it could be on the body’s surface or even as implants in other parts of the body. One of them or a combination of these IoT-based methods has revolutionized healthcare.听听personalized, reliable, and secure solutions can detect health risks from diseases. Some conditions for which IoT technologies are being used include cardiovascular diseases, diabetes, oncological issues, kidney diseases, and Parkinson鈥檚 disease.

Eldercare has for long been an understudied and logistically difficult field of medicine. This is because of the requirements for continuous human intervention. But with the IoT, caring for the elderly can now be managed better. IoT-based tools like听听(AAL) and intelligent devices can remove the need for continuous human presence with the elders. Telemedicine and smart wearables devices have also made better care available for them. These also use AI to track daily routines, monitor health parameters and notify healthcare authorities should problems arise.

• Future of the workplace and IoT

Restrictions are easing now as the pandemic abates, but the hybrid working norm means companies will continue to use technologies and professional automation tools to get work done remotely. These include video conferencing tools, advanced analytics, data monitoring, work processes, and schedules. All these will help to create a collective intelligence that increases efficiency. Even traditional manufacturing companies that require a physical presence will use IoT data to monitor factory floor processes remotely.

IoT connectivity also addresses听听across various industries, enabling innovative services for consumers and enterprises. Time-critical needs include processes requiring the delivery of data and information within specified time duration and certain specific reliability levels.

Maintaining office spaces, warehouses, and other resources can also be done with the help of IoT tools like

• Advanced shipment notification
• Maintenance, replenishment, slotting, and rearrangement of inventory
• Transportation wave management
• Packing control
• Process monitoring

IoT allows managing high-volume warehouse operations through applications such as on-premise and cloud deployment, fully integrated quality, production, and track-and-trace processes and direct control of warehouse automation equipment. By integrating complex supply chain logistics with warehouse and distribution processes, IoT Services allows for remote management of workplaces.

Working from home has also been made easier with the home听听solutions like sensors, microcontrollers, and LAN or wireless communications. They help stay in touch with the workplace while making homes more enjoyable to live in.

Home automation systems based on IoT can also be used to command or control devices. Wireless technologies, predictive engines, and Natural Language Processing (NLP) have made it possible to control the home environment from a smartphone, allowing an unhindered work from home experience. These applications can monitor doors, home appliances, and bed movements, making homes more secure and responsive.

• Retail and IoT

The retail sector has also seen widespread adoption of IoT Services. Since the opening of the first IoT-enabled store in Sweden in 2016, many听unstaffed retail shops听have mushroomed. E-Commerce giants such as听Alibaba听补苍诲听Amazon听have launched interesting initiatives with IoT at the center of delivering new customer experiences. The new formats of retail stores are fully automated supermarkets and are also based on IoT applications. These include the use of听Radio-frequency identification听(RFID) tags and remote monitoring systems. Other听IoT features, such as predictive engine, recognition, and Single-Shot Detector (SSD) algorithm, enhance the efficiency of automated retail systems. This has greatly increased the customer flow and transaction volume. One of the ways these will help retail outlets is by enabling decisions concerning stock placement and replenishment based on customer interaction with products displayed on the store shelves. The trend is catching on, and it鈥檚 just a matter of time before we see a completely human intervention-free retail world!

Besides all this, IoT can help the retail sector by providing additional capabilities in data auto-capture, visibility, intelligence, and information sharing. Besides enabling better customer servicing and greater integration of retail supply chains, other ways that IoT enhances the retail sector include-

• Monitoring supply chain networks
• Helping to maintain records of stocks and inventories
• Tracking shipments
• Pre-empting adverse conditions
• Managing yard logistics and warehouses

The pandemic has highlighted the intrinsic risks in modern supply chains, and for businesses, it makes maintaining efficient and cost-effective systems even more critical. In such a world, IoT data and IoT services can help businesses through improved supply chain efficiency implemented by using better managerial decision-making processes. These include multi-objective optimization of supply chain networks, partner selection in green supply chain problems, multi-product supply chain networks, and the problem-solving approach to closed-loop supply chains.

These can enhance supply chain performance in every dimension, including cost, quality, delivery, or flexibility. IoT can help the retail sector improve and maintain strong financial, social, and environmental sustainability.

• Cybersecurity and IoT

With the growth of IoT, there is an increasing threat of cyberattacks. Consequently, cybersecurity has become one of the most important areas of the Internet of Things. The IoT security market is听听at a compound annual growth rate of 33.7% by 2023.

IoT cybersecurity serves to reduce cybersecurity risk for organizations and users through the protection of connected assets and data privacy. A robust IoT data security portfolio extensively uses advanced cryptography techniques to protect users from Distributed Denial-of-Service (DDoS) attacks and other vulnerabilities. It also pre-empts any threats and takes measures to eliminate them before things get out of hand. The IoT aspects such as machine learning and physical unclonable functions听also allow听for preventing, detecting and reporting threats related to different domains of the IoT systems. These help in identifying authentic devices and preventing tampering and the insertion of cloned devices in the IoT environment. IoT is now also being used to听听in smart cities, and IoT cybersecurity has an important part to play.

As IoT utilization increases, other technologies and innovations that could keep up with it like 5G, blockchain, and AI have only now started to emerge. Using various machine learning algorithms, the enormous amounts of data that听听and convert into relevant information can enhance efficiency and reduce costs. IoT data on various operational aspects are highly useful for organizations. Other fields such as agriculture and construction can also benefit from the tools available with IoT. And there鈥檚 no denying that IoT is fast becoming one of the most essential technologies for humankind. As we enter the new normal, IoT will playing an even more prominent role in every part of our lives.

Humans will have a pivotal role in the next phase of IoT services, where Industry 4.0 (Industrial Internet of Things) and Human 4.0 converge. Smart manufacturing is leading the way. As connected manufacturing optimizes itself automatically, it becomes increasingly economical to build and customize products while enhancing system efficiencies without human intervention.听听are enabling pioneers to walk this path and set the agenda for the next frontier, where 鈥榟umans鈥� and 鈥榤achines鈥� speak the same language.

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History of the Internet of Things (IoT)

Kevin Ashton, a Procter&Gamble (P&G) executive, coined the听term 鈥業nternet of Things in one of his presentations in 1999. Kevin Ashton, at the time, was involved in the optimization of the P&G supply chain. He realized that the P&G warehouses could significantly improve their efficiency in real-time inventory tracking by using Radio Frequency Identification technology (RFID). However, the first application of IoT was听a Coca-Cola vending machine (in the 1980s) that could record and send data online about the temperature and remaining stock of cold drinks.

Business Applications of IoT in the 21st century

IoT听is essentially a technological platform that integrates several machines, each performing certain specific functions. These machines have built-in sensors that record real-time data like images, videos, motion, acceleration, temperature, etc., and can therefore provide valuable information for听businesses. Here are some of the most popular applications of IoT that have led to听business transformations in the 21st听century.

• Smart Agriculture

Farming technology has been significantly revamped with the help of IoT networks. Modern progressive farms are now using humidity, temperature, and soil quality sensors that provide real-time data. These data are sometimes used by automated irrigation systems, eliminating manual labour and surveillance. There are several cases of such smart devices (including IoT-connected drones) rapidly reshaping the landscape of commercial agriculture in 2021.

• Retail and Supply Chain Management

One of the biggest business transformations that IoT has brought in the 21st听century is in the retail and supply chain business processes. With the help of IoT-enabled technologies, retailers now have a greater degree of control over their inventory, warehousing, logistics, and point of sale processes. Amazon鈥檚 revolutionary 鈥榥o checkout鈥� store incorporates an IoT platform that allows customers to shop in brick-and-mortar stores without having to wait in queues during check-out.

• Smart Energy Grids

IoT听has facilitated the collection of data on electricity usage from several residential and听business听complexes. Electricity providers can analyze this data to ensure a higher level of power efficiency for enterprises. Moreover, installing sensors to detect power outages can also help manage the power grid better.

• Environmental Monitoring

Businesses have also resorted to using听IoT-enabled sensors to record the quality of air, water, soil, and even patterns of weather to facilitate better decisions. Using these data, companies have ensured better environmental compliance and have added to their triple bottom line.

• Manufacturing

IoT听has carved out its rightful place in the manufacturing industries as well. When it comes to听business transformation听in manufacturing,听IoT-enabled connectivity across machines ensures higher operational efficiency. IoT platforms are also collating the data and analytics from these connected machines听to develop detailed dashboards that illustrate the听business performance and facilitate data-driven decision-making.

How can IoT Transform Businesses in 2022?

Recent reports have stated that about听may be in use worldwide by 2035. Reports have also suggested that the IoT market, by the end of 2021, is set to grow to. To be a part of this revolution, you need to understand the five ways in which听IoT听is set to bring about a听business transformation听in 2022.

1. Improved Business Insights

Whether manufacturing or agricultural,听IoT听transforms enterprises with improved听business听insights facilitated by real-time data collection. Enterprises are now witnessing a higher influx of real-time data with the help of connected devices like cameras, GPS trackers, and mobile devices.听IoT听platforms can integrate several such devices, enabling organizations to get constant insight into their听business听operations. Moreover, such an听IoT听network can also include Enterprise Resource Planning (ERP) software that can act as a data repository and help make strategic听business听decisions.

For example, an agricultural business that engages in animal husbandry would significantly improve several aspects by incorporating听IoT-enabled devices. Such an enterprise could experience听business transformation听in the form of reduced livestock maintenance costs. Installing cameras, motion detectors, noise detectors, and thermal sensors in the livestock shelters to track livestock’s movement patterns and health conditions can help greatly. It can empower ranchers to respond to the health risks of livestock quickly.

2. Improved Customer Experience

The most prominent way IoT rapidly transforms听customer experiences is by increasing data inputs from customers themselves. By constantly monitoring customer actions and reactions through various听IoT-enabled devices, companies can now provide more intuitive customer experiences. Moreover, emerging technologies like artificial intelligence (AI) and machine learning (ML) have further helped commercialize such big data. One of the most widely known applications of this is Amazon鈥檚 IoT ecosystem that consists of interfaces like the Echo, Echo Dot, and Alexa.

Amazon Web Services (AWS) have their own cloud-based platforms that provide storage for such real-time data collected through their听IoT听devices. Since cloud-based storage is easily accessible over the internet and does not have any physical address, AWS uses it to provide better customer experiences. Moreover, the advanced AI and ML software of Amazon also analyses this data to deliver tailored online shopping experiences to its customers.

3. Cost & Downtime Reduction

Imagine a scenario where a vital piece of equipment in a manufacturing facility stops working, and it takes days to track and identify the problem. That can result in massive financial losses and days, sometimes even weeks, of downtime. Since听IoT听has infiltrated several large-scale manufacturing industries, 2022 will witness a significantly reduced downtime due to such equipment failures. With听IoT听solutions providers like 麻豆原创,听businesses in 2022 will be able to monitor manufacturing equipment health seamlessly over the internet.

Since 2020, Samsung has incorporated听IoT-enabled temperature sensors, motion trackers, and several other equipment health monitors in their 5G-powered smart factories. Such applications of听IoT听are set to increase rapidly with the adoption of Industry 4.0 technologies in 2022. Industry 4.0 (also known as the Fourth Industrial Revolution) is characterized by autonomous machines connected through the Industrial Internet of Things (IIoT). Therefore, 2022 will witness a smooth transition into autonomous manufacturing equipment communicating via听IoT听platforms.

4. Increased Efficiency & Productivity

According to reports, the use of IoT in integrating different departments of an enterprise is set to provide an enormous. Since听IoT-enabled devices provide continuous real-time data of the surroundings inside a factory or even throughout the supply chain, it has become easier to identify snags within听business听operations. While this helps to increase operational efficiency, it also helps to improve output by facilitating extensive automation. As a result, aided by听IoT听connectivity, enterprises are set to witness increased productivity as well in 2022.

An interesting application of听IoT听in helping increase worker efficiency and productivity is demonstrated by Ford鈥檚 Valencia Engine Assembly Plant in Spain. Workers in this plant wear a bodysuit that has built-in motion and vital signs trackers. The real-time data collected from these bodysuits gets used to make working environments safer and more efficient for workers.

5. Asset Tracking

Since a supply chain is involved with sourcing raw materials and delivering finished goods, there is always a chance for goods to go missing within this long chain of activities. Tracking goods (also known as assets) can often become a tedious job for warehouses and logistics partners. Using technologies like RFID and GPS tracking of each asset, companies can reduce overhead costs from misplaced assets. When such trackers connect to a larger network, it becomes easier for enterprises to keep tabs on their assets up and down the supply chain.

While companies like Siemens have also incorporated such听IoT听solutions to facilitate asset tracking and monitoring, an Enterprise Resource Planning (ERP) software provided by 麻豆原创 may improve overall asset management. An ERP software helps to synchronize data and knowledge within all departments of an organization to facilitate higher efficiency and productivity. Providers of enterprise resource planning software like 麻豆原创 have enabled听businesses to step into this new world of听IoT.

Conclusion

Several enterprises have experienced a听business transformation听by adopting听IoT听solutions, and providers like 麻豆原创 are the forerunners of this Fourth Industrial Revolution. Markets such as remote patient monitoring are set to grow to,听and with developments like these, there is seemingly a huge scope for growth.

With the differentiation of听IoT听into several sub-sectors like the Internet of Medical Things (IoMT), Industrial Internet of Things (IIoT), Automotive Internet of Things (IoT), etc., the future of these technologies holds massive opportunities for businesses in 2022.

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The global health crisis also highlighted the weaknesses of traditional workflows in management and logistics: Manual, paper-based processes; siloed working and undefined roles; disparate and unstructured data; low or zero visibility of the end-to-end supply chain and logistics; lack of real-time monitoring, etc.

In the eye of the storm

The disruption also forced companies to relook their supply chain function end-to-end and figure out long-term measures to build resilience and agility. For instance, customers will continue to demand more in less time even after the pandemic is gone. But for companies to cope with this customer expectation, a drastic rethink of their supply chain management and logistics (SCML) is a must.

Here鈥檚 where technology plays a pivotal role, not only to provide intelligence and insights but also to enable new operational models. And Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), Big Data analytics, and blockchain are some of the technologies that are rapidly redefining how SCML systems work.

How Supply Chain Heads are using AI and IoT

A well-managed supply chain is a crucial factor to gain advantage over the competition, especially in the present era where supply chains are intricate, spread worldwide, and decentralized. So, if AI earlier was only helping to address skills shortage and maintain inventories, the flexibility and adaptability of this technology is now allowing supply chain heads to be more innovative. From improving production planning to making more accurate forecasts, AI is allowing companies to minimize or eliminate errors completely.

AI, coupled with IoT, would allow supply chain heads to monitor and manage storage, transportation, supply chains, and warehouses efficiently and in real-time, without having to be physically present. These technologies also allow for planning and monitoring movement of goods so that unforeseen events (read pandemic, adverse weather conditions) can be managed well in advance.

Other immediate benefits of adopting digitalization and new technologies include:

• Smart scheduling and planning,
• Parameter optimization,
• Intelligent and proactive quality analysis,
• Proactive maintenance,
• Efficient analysis of maintenance and production costs along with precise estimation and control,
• Intelligent control of energy consumption and associated costs, and
• Real-time monitoring of production process and procedures.

What鈥檚 Next in SCML

As mentioned earlier,听traditional SCML systems have now proven to be struggling with ever-changing customer demand, rapidly evolving operations planning, and the constantly changing state of business processes.

In 2022, these technologies aim to overcome all these challenges more effectively through a range of activities including providing sales, production and consumption forecasting, supplier selection, and demand management using Artificial Neural Networks. These technologies would help businesses become proactive with capabilities like agent-based systems, which perceive the surrounding environment and can act autonomously and proactively solve certain problems.

Next year, AI and IoT are also expected to help businesses through improved supply chain efficiency implemented by using better managerial decision-making processes, including multi-objective optimization of supply chain networks, partner selection in green supply chain problems, multi-product supply chain networks, and a problem-solving approach to closed-loop supply chains.

Augmented Intelligence along with AI is expected to spike in use as it would help reduce manual effort, helping companies optimize costs while increasing worker productivity. According to听, it can create $2.9 trillion worth of business value and lead to an increase of 6.2 billion hours of worker productivity globally. By 2030, AI/Augmented intelligence is expected to surpass all other forms of AI initiatives. Essentially, this means professionals can do their work faster, reducing errors and saving costs.

IoT sensor technology will continue to play important roles and expand on its use cases. This technology helps track shipments. Connected IoT devices on consignments allow warehouses to track inventory, vehicles, and equipment through cloud services. Collaboration between IoT start-ups and container shipping companies are expected to increase next year given the inherent benefits, including real-time monitoring and predictive capabilities.

The need for real-time data will only increase. From gauging customer sentiments and trends to ensuring timely deliveries, data will play a critical role in deriving intelligent insights that drive strategic decisions.听Machine learning-enabled risk assessment tools, for instance, can find patterns in geopolitical tensions, macroeconomic shifts, exchange rates, and other data.

According to听, IoT is important because emerging supply chain techniques need the freshest, most accurate data. And being able to predict consumer shifts, more than demand, will become increasingly important post-pandemic.

The Experience Economy and Changing Paradigm

The consumer, today, no longer stops expecting once a good is purchased. The demand continues long after 鈥� the customer experience has become critical and sustaining a good customer experience has become central to this theme. But for businesses grappling with supply chain disruptions, how can sustaining good customer experience be a real possibility?

Digitalization of supply chain management and logistics allows this: where processes and systems that support mass personalization can be deployed; where collaboration with non-traditional ecosystem partners makes it possible to deliver higher value, and where efficient order fulfillment and delivery become par for the course.

Moving Ahead with 麻豆原创

The 麻豆原创 digital supply chain management (DSCM) software allows enterprises to move from transactional SCLM to a digital, sustainable, strategy-led approach that will help them counteract unforeseen disruptions with agility and data-driven insights.

麻豆原创 offers听听software and tools, that allow for:

• Real-time insights into the supply chain,
• Identifying bottlenecks, and
• Mitigating risks as they arise with on-premises and cloud logistics management systems from 麻豆原创.

An integrated cloud-ready portfolio allows:

• Collaborative supply chain network
• Integrating business planning
• Optimizing inventory
• Procurement and supplier management
• Predictive analytics, AI, and Machine Learning
• Sustainably plan for ethically sourced material

And all these are achieved through predictive analytics, automation, and IoT capabilities, enabling resilient and sustainable supply chain management processes.

Specialized programs for various aspects of the supply chain management and logistics systems from 麻豆原创 also give businesses a large number of options to choose from, depending on their needs. These programs include the following:

1. 听provides real-time visibility into transportation resources to allow businesses to fulfill their customer demands at minimal cost. The program integrates advanced analytics on historic data with forecasting capabilities to accurately forecast and monitor resource supply and demand.
2. 听is a program that allows a business to manage high-volume warehouse operations and integrate complex supply chain logistics with warehouse and distribution processes. Businesses can optimize inbound logistics management, storage and operations, and outbound logistics management.
3. 听is an open logistics network that connects business partners for intercompany collaboration and insights. It provides a central entry point to manage logistics transactions, exchange documents with key business partners, and gain transparency across the complete value chain through an open 鈥榥etwork of networks鈥� strategy. It also allows for freight logistics collaboration, global track and trace options to monitor purchase, sales, and delivery fulfillment, as well as helping notify stakeholders of changes; and cross-company real-time alerts and notifications for product issues that also streamlines recalls.
4. 听program helps businesses run more efficient and profitable supply chain logistics to maximize visibility into all yard processes and preview planned workloads with a range of visualization and reporting tools.
5. 听program helps reduce transportation complexity by integrating fleet and logistics management throughout the business鈥� network. The program also provides real-time visibility into global transportation and domestic shipping across all transportation modes and industries.

As companies now demand greater agility in their supply chain processes and practices, they are beginning to realize that digital transformation is a necessity. There鈥檚 no getting away from the fact that global value chains are here to stay for good, but supply chain heads will need to juggle the demand for agility and efficiency with sustainability mandates while making a steady recovery from COVID-induced afflictions.

Supply chain sustainability means being able to manage environmental, social, and economic impacts with good governance practices. And here鈥檚 where 麻豆原创 DSCM can help. By adopting an end-to-end sustainability mission as part of its solution strategy (from design to decommissioning)听听ensures that the key principles of sustainability are embedded in it. This ultimately addresses the three areas customers focus on 鈥損eople, planet, and profit.

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