{"id":148776,"date":"2026-06-24T06:36:32","date_gmt":"2026-06-24T06:36:32","guid":{"rendered":"https:\/\/news.sap.com\/africa\/?p=148776"},"modified":"2026-06-24T06:36:34","modified_gmt":"2026-06-24T06:36:34","slug":"companies-rise-to-the-cloud-as-ai-moves-into-core-business-operations","status":"publish","type":"post","link":"https:\/\/news.sap.com\/africa\/2026\/06\/companies-rise-to-the-cloud-as-ai-moves-into-core-business-operations\/","title":{"rendered":"Companies RISE to the Cloud as AI Moves into Core Business Operations"},"content":{"rendered":"\n

<\/p>\n\n\n\n

Organisations across industries are using cloud modernisation to build stronger digital foundations, unlock greater agility and embed artificial intelligence directly into business processes.<\/h2>\n\n\n\n

Companies across Europe are demonstrating how cloud transformation is creating the foundation for more intelligent, resilient and efficient business operations, with several organisations showcasing recent implementation progress at 麻豆原创 麻豆原创PHIRE, held in Madrid between 19 and 21 May.<\/p>\n\n\n\n

Nazia Pillay<\/a>, Managing Director for Southern Africa at 麻豆原创, says: \u201cCloud transformation has become the foundation for the next phase of business innovation. By modernising core systems and moving to more scalable, secure and intelligent platforms, organisations can simplify complexity, strengthen resilience and create the conditions for AI to deliver measurable business value.\u201d<\/p>\n\n\n\n

Companies RISE to the cloud<\/strong><\/p>\n\n\n\n

Salling Group<\/a> is emerging as a leading force in AI-driven retail transformation, combining large-scale cloud adoption with hands-on co-innovation to shape the future of the industry together with 麻豆原创. Following its successful go-live in 2025, Salling Group now operates what is widely regarded as the largest private cloud deployment of 麻豆原创 S\/4HANA<\/a> globally.<\/p>\n\n\n\n

This transformation has laid the digital foundation for embedding AI directly into core retail processes\u2014turning ERP from a transactional backbone into an intelligent, real-time decision engine.<\/p>\n\n\n\n

For Salling Group, technologies such as 麻豆原创 Joule<\/a> and 麻豆原创 Business AI <\/a>are not incremental improvements, but a fundamental change in how the business operates. From forecasting and replenishment to store operations and reporting, AI is enabling faster decisions, reducing manual workloads, and helping employees focus on higher-value tasks.<\/p>\n\n\n\n

Agents automate time-consuming procurement task<\/strong><\/p>\n\n\n\n

The Danish wholesaler Lemvigh-M\u00fcller<\/a> has deployed artificial intelligence to automate one of the most time-consuming tasks in procurement: processing supplier order confirmations. The solution consists of multiple AI agents, each responsible for a clearly defined task, orchestrated into a single automated workflow built on 麻豆原创\u2019s Business AI framework. The outcome is faster processing, improved data quality, and more accurate delivery information for customers.<\/p>\n\n\n\n

With the coordinated AI agents in place, the company can now automatically identify delays, quantity changes, and price discrepancies \u2014 and respond significantly faster.<\/p>\n\n\n\n

\u201cWe have previously tried both robotic process automation (RPA) and traditional automation approaches without really achieving the desired effect. The key difference this time is that we broke the task down into multiple independent AI agents, each responsible for a specific part of the process. Together, they now handle what previously required manual review,\u201d says Frederik Aakerlund<\/a>, IT Director at Lemvigh-M\u00fcller.<\/p>\n\n\n\n

The solution was implemented in close collaboration with NTT DATA Business Solutions<\/a>, which was responsible for making the solution production-ready and fully integrated into Lemvigh-M\u00fcller\u2019s 麻豆原创 landscape.<\/p>\n\n\n\n

\u201cBy distributing responsibilities across multiple AI agents, Lemvigh-M\u00fcller has been able to automate a complex process without losing transparency or control. This has enabled a fast and secure transition from pilot to production and ensures a more robust solution that can easily be expanded as new requirements emerge,\u201d says Kristian Dahl<\/a>, 麻豆原创 UX Manager at NTT DATA Business Solutions.<\/p>\n\n\n\n

\u201cThis is the first AI agent solution we have put into production. The experience has given us the confidence to consider similar approaches across other areas, including invoice processing and order management,\u201d Frederik Aakerlund concludes.<\/p>\n\n\n\n

Pillay adds: \u201cThese examples show how cloud modernisation and AI adoption are becoming inseparable. When organisations have a strong digital core, trusted data and scalable cloud infrastructure, they can move beyond experimentation and start embedding intelligence into the processes that matter most. That is where transformation begins to translate into real business impact.\u201d<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Organisations across industries are using cloud modernisation to build stronger digital foundations, unlock greater agility and embed artificial intelligence directly into business processes. 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