Tuesday, 18 January, 2022

Spar case study: Predictive buying with AI

BWG group are investing 6.5 million euros into predictive buying technology across 1000 SPAR convenience stores in Ireland.

The problem
Store managers spend a long time predicting what stock to buy and when. This means a 10% loss due to manual ordering. The result of this is a considerable loss of time and resources.

The solution
Use innovative AI technology that monitors customer behaviour and anticipates future factors like weather, sporting events and social media activity. The system is based on 240 data points, including local events and can recommend new products. Store managers don’t own stock but sell fast. As more sales come in, the system will self analyse and improve over time.

The results
AI technology puts less pressure on managers to get the buying right. Also, the system can suggest new and top-selling lines. This technology saves time and increases revenue.

The future
BWG/SPAR could look at integrating this into other aspects of their business, i.e. the buying and logistics at the backend or directly linked to their marketing plans for end-to-end AI automated service. This will reduce time and increase accuracy throughout the supply chain.

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One of the hardest things in business is to imagine what is possible with new technology. The case studies are designed to digest projects around the world using the latest technology and my insights. It is also showcasing the companies and their products, services and innovation. So that you know, we don’t have any connection with the companies named unless we’ve said otherwise.

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