~100 contracts a year at a $260K average, sold through the website and a B2B sales team, with quoting, projects, inventory, accounting and email in five silos re-keyed by hand. Nobody had a number they could sell against, and reordering ran on memory. When we pulled their own stock file: 81 orders committed against stock that wasn't on hand, 107 order lines already past their promised ship date, and a quarter of all SKUs with no available-to-sell figure at all. Stock bought for a January order sat locked while a September customer was turned away.

AI-powered forecasting now turns 24 months of order history into one available-to-sell number, reorder points and buy-by dates per SKU. Sales quote against what exists, the January order is bought ahead instead of found short, and date changes reach the warehouse automatically.