SUPPLY CHAIN DATA: The data you trust is disabling your growth
- Original Article: Visit Link
Modern retail systems measure sales, not demand.
This is a critical distinction that quietly costs suppliers significant growth. Suppliers routinely base forecasts, production, and investment decisions on sales data as if it accurately reflects true consumer demand. It doesn’t.
In FMCG categories, the gap between recorded sales and actual underlying demand can range from 15% to 135% for products with interrupted availability – and can exceed 300% where poor execution has destroyed sales patterns. This ‘invisible demand’ already exists in consumers’ minds but never converts into a sale, so it disappears from the data used for decisionmaking.
The structural blind spot
Retail systems only record transactions – what actually sells. They cannot capture demand that walks away because the product was out of stock. Consumers buy what is on the shelf at the moment of decision. If it’s missing, no sale is recorded and the system assumes no demand existed. This is not a dataquality problem – it is a fundamental limitation in how retail data is structured. Sales = Demand × Retail Execution × Time. Demand is consumer intent. Execution determines whether that intent turns into a purchase.
When execution fails (even temporarily), demand is suppressed and the lost opportunity is invisible to the system. The result: suppliers see artificially low sales and respond by reducing supply, further damaging availability. Most supply chains work well until product reaches the store. Research from the Grocery Manufacturers Association shows that only 28% of onshelf availability (OSA) failures originate up stream with suppliers or distribution centres. The majority happen in the final stretch – instore.
The illusion of normal performance
When a product is unavailable, 45–70% of shoppers substitute another item in the same category. Category sales stay relatively stable, so everything looks normal on reports. Meanwhile, suppliers lose the sale permanently. The retailer’s system sees continuity; the manufacturer absorbs the hidden cost of execution failures.
Why your core metrics are misleading
- Rate of Sale: This metric has a short functional half life. Every missed selling day permanently removes demand, especially for frequent purchase items. A daily product loses ~3.3% of monthly sales from one out-of-stock day. A weekly product loses 25%. Over time, rate of sale reflects execution history more than true demand.
- Stock on Hand: Inventory records are often inaccurate. Studies show 60–70% of records contain errors, leading to poor replenishment decisions.
- Days Cover: Because it uses rate of sale in the denominator, suppressed sales make days cover look higher than reality. This creates a false signal of excess stock, slowing reorders and worsening availability problems.
Bottom line for retailers and manufacturers
Your shared growth is being limited by data that systematically understates demand. Improving visibility into true demand – especially the last 50 yards – represents one of the biggest untapped opportunities to drive sales, reduce lost demand, and build more accurate, profitable supply chains.
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