Company: Mojix is a US-based leading item chain management solutions provider to retail and industrial enterprises around the globe. The company’s software solutions work in real-time and are hardware agnostic. They aggregate and process data streams from various sensors to provide business insights. Let’s see how they used real-time data streaming to build retail & supply chain platforms.
Challenge: One of the biggest problems in the retail business is managing the inventory, especially in real-time. The diminished inventory accuracy is often as low as 65% making it difficult for companies to offer better customer experiences. Mojix’s challenge was to provide retailers with a solution to improve inventory accuracy, enable operational intelligence and support omnichannel sales.
Solution: Using Confluent Cloud and Apache Kafka, Mojix has built a scalable, highly available platform – ViZix. The platform supports real-time data streaming & operational intelligence with complex event processing for a hybrid cloud across the edge – at retail stores and distribution centers and the cloud. It helps retailers to analyze and act on inventory data collected from IoT sensor streams in real-time.
Result: The inventory accuracy increased from 65% to 99%. Apache Kafka and Confluent Cloud help the company to build a highly fault-tolerant and scalable architecture. Mojix’s DevOps team relies on Confluent Cloud for high availability streaming data services across multiple regions, enabling it to focus more on developing its products.