Pick 鈥榥 Pay is a leading grocery retailer, with stores ranging in size form small garage stores to hyper storage, liquor stores, the Qualisave network, container outlets, franchises and a clothing store. On top of that, the retailer has a home store online, a clothing website, and groceries available via Mr D, Pick 鈥榥 Pay A麻豆原创 and Takealot. Adding to the complexity, the group offers services like the Smart Shopper programme, money services, mobile offerings and more.

鈥淚t become a big blur to deal with all these point of sale transactions,鈥� says Anja Leonard, enterprise solutions architect at Pick 鈥榥 Pay.

Pick 鈥榥 Pay initially deployed the 麻豆原创 POS DM application in 2004, and it was battling to cope with the new environment.

The decision was taken to move to CAR/DTA, to bring the point of sale technology up to date.

Essentially, the new system does pretty much what the old one does, but the move was a strategic decision to build a solid framework for driving innovation going forward.

Having decided to make the move, and to go with the new CAR/DTA system as opposed to simply upgrading POS DM, the group had to determine how to do it.

Pick 鈥榥 Pay opted to partner with a company that provided an implementation accelerator, which would allow the team to meet deadlines and make use of outside resources. Beyond Technologies was selected to assist Pick 鈥榥 Pay in implementing 麻豆原创 CAR/DTA.

With all the different point of sale outlets, more than 13 interfaces had to be implemented 鈥� much more than the reference architecture, and adding to the complexity.

The team decided to do the migration in just under six months, ending in November 2021.

鈥淭he accelerator was really valuable and helped us,鈥� Leonard says. 鈥淎t times the preconfigured values didn鈥檛 match ours, so we had to tweak them, but the Beyond Technologies people were able to help.鈥�

Pick 鈥榥 Pay deployed its own resources to do the key work in addition to their regular jobs and other projects. 鈥淪o we found we were pushing a bit too hard there, and had to revise our timelines.鈥�

Other challenges in the project included the fact that POS DM enhancements and production fixes had to be duplicated in CAR/DTA, making testing requirements a moving target.

With markup files, the team found that the Pick 鈥榥 Pay bespoke functionality for reconciliation was much more complex than anticipated.

If they were to do the project again, Leonard says the team would test more thoroughly in development, and would take a project approach.

A number of things worked really well, including the parallel landscape for testing in POS DM and CAR/DTA; the trial production system with AWS; and entrusting Pick 鈥榥 Pay resources with key roles and responsibilities.

The CAR/DTA system eventually went live in January 2022 鈥� a little later than initially planned.

Today, the group is leveraging the value of the migration, Leonard says.

So far, there is a realtime stock position for Mr D and Takealot, with the other channels in flight. Reporting and financial reconciliations can now be done at speed.

Pick 鈥榥 Pay is in the process of implementing UDF and is expecting to get value from price elasticity, promotional uplift, and supply chain efficiencies.

It is also in the process of implementing PMR, which will give it better insight into promotional analytics. What-if projections for optimal price points should also be possible and should make a difference to the success of promotions. The implementation of PMR may create the opportunity to redesign some of the business processes at some point.

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In today’s highly competitive retail environment, access to accurate real-time transaction and inventory data is critical to meeting customer demands. For one of South Africa’s leading retailers, a fast-tracked digital transformation of its transaction and reconciliation processes built on 麻豆原创 ECC has unlocked immense benefits and efficiency across the business.

鈥淲e have seen a huge increase in transaction volumes, with more than 30 billion transactions processed across our stores per year,鈥� says Elize de Klerk, IT Supply Senior System Manager at Pick n Pay. 鈥淗owever, our old system was no longer able to keep up with the growing demand, and we experienced delays in processing and reconciling transactions of up to a day. We chose to implement 麻豆原创 Customer Activity Repository to eliminate delays and streamline our reporting.鈥�

Pick聽n聽Pay is a leading South African retailer for high quality consumer goods including food, grocery and general merchandise products and operates under three brands 鈥� Pick聽n聽Pay, Boxer and TM 鈥� across numerous southern African countries. Pick n Pay operates a network of more than 2,000 stores in South Africa as well as an extended footprint into several African markets, including Namibia, Botswana, Zambia, Eswatini and Lesotho.

The retailer has been a long-standing 麻豆原创 customer, leveraging 麻豆原创 technologies to support core business processes for more than two decades.

To ensure the business runs optimally and can continue to meet growing customer demand, Pick n Pay chose to implement 麻豆原创 Customer Activity Repository built on the powerful 麻豆原创 ECC platform. 鈥淲e needed more efficient and accurate inventory management as well as simplified financial and administrative reporting to ensure our decision makers have a real-time view over the business,鈥� says de Klerk. 鈥淲e chose to work with implementation partner Beyond Technologies to deliver a state-of-the-art solution.鈥�

Christian Bowker, Managing Partner at Beyond Technologies, says: 鈥淧ick n Pay had been a very successful 麻豆原创 customer for years, and the 麻豆原创 Customer Activity Repository solution was a perfect match for them. 麻豆原创 ECC was powerful enough to manage Pick n Pay鈥檚 billions of monthly translations and help them meet growing customer demands. They particularly appreciated Beyond鈥檚 retail accelerator and team of seasoned S/4HANA experts that brought value to Pick n Pay in a short space of time.鈥�

De Klerk says the support from Beyond Technologies was superb throughout the implementation process. 鈥淏eyond Technologies had the expertise to deliver the project on time and within budget, supported by an experienced team that offered great collaboration to deliver a highly successful programme.鈥�

Following the implementation, Pick n Pay has gained access to accurate, real-time data and analytics, which is particularly significant for its point-of-sale data transfer and audit (POSDTA) operations, including transaction processing and reconciliation. This has delivered considerable benefits for Pick n Pay’s ecommerce division by providing enhanced and up-to-date stock and inventory management capabilities.

鈥淪ince adopting 麻豆原创 Customer Activity Repository, we have fast-tracked the transaction reconciliation process, eliminated delays, and gained more accurate inventory oversight, especially for our ecommerce business,鈥� says de Klerk. 鈥淭hanks to the expert work of our implementation partners and the powerful capabilities of 麻豆原创 technologies, Pick n Pay now enjoys optimised, one-click administrative and financial reporting, allowing us to substantially increase our sales and profitability across our business.鈥�

Commenting on the project, Cameron Beveridge, Regional Director for Southern Africa at 麻豆原创, says: 鈥淧ick n Pay鈥檚 superb deployment of 麻豆原创 technologies and focus on driving efficiency and optimisation has delivered a ground-breaking project that will support its growth and success for years to come. Supported by the outstanding work of expert implementation partners at Beyond Technologies, Pick n Pay can confidently meet the growing demand from their customers and continue its proud tradition of innovation and leadership in the retail industry.鈥�

The post Pick n Pay Sparks Retail Revolution with Powerful 麻豆原创 Deployment appeared first on 麻豆原创 Africa News Center.