Inventory glossary
What is Demand sensing?
Demand sensing is a forecasting approach that adjusts predictions quickly using recent, near-real-time sales data instead of relying only on older historical averages.
For a small Shopify store, demand can shift fast. A candle scent goes viral on social media, or a coffee blend suddenly stops selling because a competitor undercuts you. A forecast built only on last year's numbers misses these shifts. Demand sensing means watching what sold in the last week or two and adjusting your reorder plans accordingly, rather than waiting for a monthly or quarterly review to notice the change.
In practice for a small store, this does not need to be complex. It can mean checking your last two weeks of sales against your usual run rate before you place a purchase order, and increasing or decreasing the suggested quantity based on that recent trend rather than a flat average.
Example
A candle store normally sells 20 units a week of its vanilla candle. In the last two weeks, sales jumped to 35 units a week after a influencer post. Using demand sensing, the owner reorders based on 35 units a week going forward, not the old 20 unit average, and orders 140 units to cover the next 4 weeks instead of 80.
Common mistakes
- Reacting to a single unusual day or order instead of a sustained trend over at least a week or two.
- Ignoring recent spikes or drops and sticking rigidly to an old average, which causes stockouts or overstock.
- Overcorrecting on every small blip, which leads to constant order changes and supplier confusion.
Demand sensing and SteadyShelf
SteadyShelf forecasts sales per variant using recent sales patterns, so order-by dates and suggested quantities reflect current demand rather than a stale average.
SteadyShelf is launching on the Shopify App Store. Join early access to get the install link first.
Related terms
Demand forecasting · Moving average forecast · Demand spike · Average daily sales · Exponential smoothing
FAQ
How is demand sensing different from regular demand forecasting?
Regular forecasting often relies on longer historical averages and seasonal patterns. Demand sensing focuses on the most recent sales data to catch shifts faster, so it reacts quicker to trends, promotions, or sudden drops.
Do small stores really need demand sensing?
Yes, in a simple form. You do not need advanced software. Just reviewing your last two weeks of sales before placing an order and adjusting quantities up or down from your usual average is demand sensing in practice.
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Order-by dates per supplier, seasonal forecasts and draft POs for your Shopify store. $29/month after a 30-day free trial.
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