Retail inventory analysis requires tracking stock changes over time

Effective inventory analysis in retail requires looking beyond simple snapshots of stock levels to understand the underlying causes of stock fluctuations. While knowing a specific quantity is available at a location is a starting point, true retail analytics involves linking stock levels with goods receipts, transfers, corrections, inventory results, and orders.

By analyzing chronological changes and utilizing timestamps, retailers can distinguish between different stock situations. For instance, an identical stock count in two different branches might represent a potential shortage in one location due to high demand, while representing an overstock in another where movement is stagnant.

This approach, often referred to as process data analysis, allows for the evaluation of transaction data by location, process, and time. Tools like the COSYS inventory report demonstrate how timestamps can be used to analyze process rhythms, peak loads, and unusual operational patterns to optimize stock management.