For many large retailers, there is a significant gap between the actual inventory in stores and warehouses and the digital records used to represent that inventory. Diminished inventory accuracy, which is often as low as 65%, makes it particularly difficult for retailers with a brick-and-mortar presence to pursue omnichannel strategies designed to improve the customer experience by enabling, for example, shoppers to order a product online and pick it up in the store. Inventory accuracy is not only critical for the customer experience, it also opens opportunities for a sales lift within stores, post-sales activities, increased efficiency in logistics and other business-enhancing improvements.
With its ViZixⓇ item chain management platform, Mojix is helping major retailers store, analyze and act on inventory data collected from IoT sensor streams in real time. Built using Confluent Cloud and Apache Kafka®, the ViZix platform supports real-time operational intelligence with complex event processing for a hybrid cloud across the edge – at retail stores and distribution centers – and the cloud.
Provide retailers with a solution to improve inventory accuracy, enable operational intelligence and support omnichannel sales.
Use Confluent Cloud and Kafka to build a scalable, highly available platform for real-time data streaming and complex event processing both on-premises and in the cloud.
The level of credibility that Confluent has built in terms of modern, scalable and flexible stream processing does much of our blocking and tackling for us.
“To have a true omnichannel environment, retailers need to achieve close to 100% inventory accuracy, and that's been the driving force behind the advanced technologies coming into retail,” says Dan Doles, CEO at Mojix. “Just as important, however, is the ability to access and act upon inventory data and other information in real time. The platform we built with Confluent Cloud and Kafka enables real-time operational intelligence. This makes it possible for retailers to acquire relevant insights from data that they’re getting right now, instead of relying solely on business intelligence tools that look back at data from last month or last quarter.”
Ein Team aus Engineers und Entwicklern bei Nuuly hat in nur sechs Monaten eine Echtzeit-Event-Streaming-Architektur basierend auf Confluent Cloud und Apache Kafka geplant, entwickelt und bereitgestellt.