How to Reduce Stockouts by 90% with AI-Powered Forecasting
TechGadgets Pro went from 3-4 stockouts per week to nearly zero after switching to AI restock recommendations. Here's exactly how they did it.
This case study follows TechGadgets Pro, a three-location electronics accessory retailer, through their transition from manual inventory management to AI-powered restock recommendations.
Before SmartRetail AI, the store's inventory manager manually reviewed stock levels every week and placed orders based on experience and gut feel. "I was pretty good at it," she told us, "but I was also running the floor, dealing with staff, and handling supplier relationships. Inventory would fall through the cracks."
The result: 3-4 stockouts per week across their three locations, concentrated in fast-moving accessories like phone cases, cables, and screen protectors. Each stockout meant lost sales and frustrated customers.
After onboarding SmartRetail AI, they enabled the Restock Recommendations feature. The system analyzed their 90-day transaction history, identified their 35 highest-velocity SKUs, and calculated daily sales rates for each.
"The first time I saw a Critical alert for iPhone 14 cases, I was skeptical," the manager said. "We had 15 units in stock. But the AI was right — we sold out 2 days later. That would have been a lost weekend's worth of sales."
After three months, stockouts dropped from 3-4 per week to less than one per month. Revenue from the accessory category increased 23% year-over-year.