Their [Retail Solutions] algorithm was outperforming ours. We tested theirs against ours and found that their system was detecting 5-8X more OOS conditions than we were getting from our algorithm.
-J.P. Brackman, Global Retail Presence Manager, The Procter & Gamble Company
One of the most quoted statistics in the industry is also the one that has shown the most resilience and stability over the years. Out-of-stock levels have been hovering around 8% for the last 10 years, and tend to double during promotional periods.
The industry's inability to effectively address this problem can be traced back to the difficulty to accurately identify and respond to out-of-stock situations in near-real time. When is a sales drop or a no-scan a real out-of-stock situation rather than a temporary drop in customer demand? What is the real root cause of a particular out-of-stock (store execution vs. phantom inventory vs. replenishment parameters vs. upstream issue)?
Retail Solutions customers leverage downstream data to identify and correct out-of-stocks situations in near-real time. Retail Solutions' unique and proprietary approach to on-shelf availability is based on powerful algorithms researched and developed in partnership with some of the largest CPG companies in the industry. Some of Retail Solutions use cases for out-of-stocks include:
In times of increased competition driven by assortment rationalization and the fast growth of private label products, Retail Solutions customers grow sales, earn above-average customer loyalty and build lasting competitive advantage by providing better on-shelf availability than their peers.
Retail Solutions out-of-stock offerings enable CPG companies to catch more out-of-stocks and to identify them earlier than traditional sales- or inventory-based methods such as zero-scans or zero-inventory alerts.