
ChatGPT, Claude, and Copilot are general-purpose language models, built to read and write text. Asking them to forecast your demand is like asking a brilliant writer to design your warehouse layout: confident-sounding answers, but not what they were built for.
Flowlity is a probabilistic engine trained on real supply chain data. It learns from your sales history (your products, customers, suppliers, seasonality) and recalibrates every time you refresh your data. The output is a probability distribution per SKU: how confident the forecast is, how much safety stock you actually need, when to reorder. The same math that powers planning at enterprises like Saint-Gobain and Magotteaux, sized for SMBs.
And if you already work daily in ChatGPT or Claude, you don't have to choose. Flowlity Co-Planner is our MCP connector that lets you query your Flowlity data directly from your AI assistant. So "what should I reorder this week?" in Claude returns Flowlity's actual forecast, securely.
In short: ChatGPT for your emails. Flowlity for your decisions. Flowlity Co-Planner to bridge the two.