On-shelf or out-of-stock? For consumer package goods (CPG) brands, the answer depends on how well you read demand signals. Reliable on-shelf availability begins with collecting the right retail data: point-of-sale (POS), inventory levels, consumer shopping behaviors, and promotional activity –then transforming that raw information into actionable insights.
The challenge: retail data frequency, formats, hierarchies and points of access vary. The sheer volume of data from multiple retailers, mismatched SKUs, and manual processes can cause delays, a lot of noise, and a risk of errors. That leaves forecasts built on guesswork, not the most current reality. The fallout? Stockouts, overstocks, missed sales, and a drop in on-shelf availability.
What if you could bring that disparate, robust data together in a harmonized, strategic way for an apples-to-apples view across all sources? When you use clean, accurate demand data, you can dramatically improve forecasting and planning to ensure products are exactly where and when customers expect to find them.