Demand Sensing for Ecommerce

Demand sensing vs demand forecasting

A demand forecast is built from history: seasonality, trend, and past sales patterns. It's the right baseline — but by definition it lags reality. When a product goes viral, a competitor undercuts you, or a season starts early, the forecast doesn't know until weeks of new data accumulate.

Demand sensing closes that gap. It watches high-frequency signals — the last few days of orders, deviations from the forecast, competitor activity — and adjusts the plan continuously — up to hourly. Enterprises have done this for years with tools like o9, Blue Yonder, and RELEX; Yeer applies the same approach to Shopify catalogs, on top of its per-product demand forecasts.

How Yeer senses demand

• Continuous signal scan. Every product's actual sales are compared to its forecast continuously — up to hourly; significant divergence is flagged in your morning briefing.
• Velocity shifts. A product selling 2× its forecast for three days triggers a reorder-timing update before the stockout, not after.
• Competitor signals. Price changes at tracked competitor stores feed into pricing and demand recommendations (see dynamic pricing).
• Action, not dashboards. Each signal arrives with a drafted decision — reorder now, reprice, or schedule a markdown — that you approve or dismiss.

Who is it for?

Any store where demand moves faster than the planning cycle: seasonal catalogs, trend-driven products, stores running ads that spike demand unevenly, and brands tracking aggressive competitors. It's included in every Yeer plan — free up to 50 products, $49/month for up to 500, $149/month unlimited.