Case study · Distribution

A food distributor: 20,000 products, ordering automated.

How MyIO replaced manual buying decisions with forecasts and optimized orders.

Distribution warehouse aisle with stocked shelves
35%better demand forecast accuracy
15%lower inventory value
20,000+products ordered automatically

The task

A food distributor supplies equipment and technology for food service and food production. Demand for more than 20,000 products changes with seasons, campaigns and discounts. Planning relied on history and the buyers’ judgement, which led to stockouts and inefficient stock.

What we built

MyIO connected to the client’s ERP. Demand is forecast with more than 30 time-series models, and orders are generated by combinatorial optimization that accounts for seasonality, campaigns, discounts, supplier lead times and shelf life. MyIO runs as SaaS on Microsoft Azure.

The result

  • 35% better demand forecast accuracy
  • 15% lower inventory value
  • Fewer stockouts
  • Automated ordering for 20,000+ products
Client
A food distributor
Industry
Food-service equipment distribution
Product
MyIO on Microsoft Azure
Integration
Client’s ERP

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