Series C direct‑to‑consumer retailer with multiple fulfilment centres
Deployed in 8 weeks
Rapid growth strained the startup's supply chain. Forecasts generated in spreadsheets missed local promotions, leading to frequent stock‑outs and markdowns.
Our team built a forecasting engine that blends historical sales with real‑time signals (events, weather, marketing) and surfaces recommendations through a chat‑based assistant. Store and warehouse managers ask "How much should I order?" and receive narrative guidance. Automated replenishment workflows trigger purchase orders and allocate inventory across the network.
Stock‑outs fell by 25% and gross margin improved by 10%. The retailer captured an estimated US$8 million in additional annual revenue while freeing managers to focus on customer experience.
"The AI assistant tells us what to order and why; it's like having a planning team in our pocket."
Learn how LayeredAI can help your retail business reduce stock‑outs and increase profitability with intelligent forecasting.