2026-05-30 MONEY☀ AM
Targeted AI Forecasting Cuts Stockouts and Lifts Sales
📰 THE BRIEF
Retailer FLO deployed AI-driven replenishment models that raised on-shelf availability from 71 percent to 94 percent and dropped out-of-stocks from 15 percent to 3 percent. Revenue rose 2.7 percent as a direct result. The system analyzed historical sales and supplier lead times to set daily order quantities.
💡 WHY IT MATTERS
This shows how predictive models convert raw sales data into fewer lost sales. Teams learn to prioritize forecast accuracy over reactive ordering. Thin-margin retailers gain a workflow that protects both availability and cash flow.
👥 WHO'S DOING IT
FLO implemented the replenishment AI across its store network and recorded the 2.7 percent revenue increase within the first reporting period after rollout.
⚡ TRY IT
- Export your last 12 months of SKU-level sales into a forecasting tool such as Akkio.
- Train the model on lead times and seasonality, then generate daily reorder suggestions.
- Apply the suggestions to your purchase orders and track stockout rate weekly. https://www.akkio.com