SPAR ICS partnered with Microsoft to develop AI-enabled demand forecasting and supply chain optimization tools, improving inventory accuracy, reducing unsold goods, and accelerating delivery times to stores.
- 90%+ inventory prediction accuracy
- Reduced unsold goods to 1%
- Delivered fruit and vegetables to stores 3 days earlier
- Handled 8 million daily app requests with peak 400 requests/sec
Legacy forecasting systems and manual ordering processes resulted in overstocking, food waste, and slower delivery cycles across 1,500+ stores.
Created an AI-enabled demand forecasting system using Azure Synapse Analytics and Microsoft Fabric, integrating weather, marketing, seasonality, and sales data; developed a scalable, secure SPAR app for customers; automated supply chain and ordering processes.
- Inventory prediction accuracy improved to over 90%
- Unsold groceries reduced to 1%
- Faster delivery times, especially for perishables
- Enhanced shopping experience via a customer-facing app
- Scalable system handling millions of daily requests with high reliability
