Streaming Data Use Cases: Supporting Real Time Store Replenishment Needs

For major retail companies, it is a crucial challenge for the business control center to know each store’s in-stock quantities in real time. The world’s largest retailers can have hundreds of thousands of SKUs, and sell thousands of dollars worth of products every second. At this scale, inventory misalignment can have an impact in the billions of dollars. Retailers need to ensure they have the optimal amount of inventory in stock and on the shelves at any given time.  Kinetica has solved this challenge for one of the world’s largest retailers using real time streaming data ingest, user-defined functions, and high-performance multi-head key/value lookup capabilities. The solution discussed below has helped the retailer to make dynamic inventory replenishment decisions based on streaming data. With Kinetica, the retailer has been able to improve customer satisfaction, maximize revenue, and reduce losses to due inefficiencies like overstock and spoilage. The use case has been implemented as such: Each store’s real time sales transaction data is fed into Kinetica from a Kafka […]