Sales Data Misses Demand and Hurts Growth
Sales data often misses true demand, limiting growth for suppliers. The gap between recorded sales and actual consumer needs can range from 15% to 135% when pro
Supply chain data often measures sales rather than true demand, which limits growth for suppliers.
The gap between sales and demand
Suppliers frequently use sales figures to set production targets and make investment choices. This approach assumes the data reflects what consumers actually want, but that is not always the case. In fast-moving consumer goods sectors, the difference between recorded sales and actual demand can range from 15% to 135% when products are not available. In extreme cases, poor execution can suppress demand by more than 300%. This invisible demand exists in consumers’ minds but never converts into a recorded transaction because the item was not on the shelf.
Retail systems track transactions, which means they miss purchases that never happen. If a shopper wants a specific item but finds it out of stock, the system records zero sales for that product. It assumes no demand was present, rather than recognizing that the intent was there. This creates a feedback loop where suppliers see artificially low numbers and reduce their supply, which worsens availability.
Execution failures hide in plain sight
Supply chains usually function well until products reach the store. Research from the Grocery Manufacturers Association indicates that only 28% of on-shelf availability failures originate upstream with suppliers or distribution centers. The majority of the problem occurs during the final stretch, inside the store. When a product is missing, many shoppers simply choose a different item from the same category. This substitution keeps category sales stable, so reports show normal performance while the supplier loses the sale permanently.
Most standard metrics fail to capture this reality because they rely on sales data rather than consumer intent. Rate of sale is particularly problematic, as it loses value quickly. A daily product can lose about 3.3% of its monthly sales after just one missed selling day. Weekly products lose even more, around 25%. Over time, these metrics reflect execution history more than actual demand.
Why standard metrics mislead
Stock on hand records are often inaccurate, with studies showing that 60 to 70% of inventory records contain errors. This inaccuracy leads to poor replenishment decisions. Days cover, another common metric, is distorted because it uses rate of sale in its calculation. When sales are suppressed, days cover appears higher than it should. This false signal suggests there is excess stock, which slows down reorders and creates a cycle where availability problems persist.
Improving visibility into true demand, especially during the last 50 yards of the journey, could unlock significant value. Both retailers and manufacturers share the benefit of more accurate data, which helps build supply chains that are better aligned with what consumers actually want.
