Case Study: Mojix achieves 99% inventory accuracy with Confluent Cloud

A Confluent Case Study

Preview of the Mojix Case Study

Mojix Builds Real-time Retail and Supply Chain IoT Platforms with Confluent Cloud

Mojix, provider of the ViZix item-chain management platform, faced a common retail challenge: poor inventory accuracy (often ~65%) across stores and warehouses that blocked omnichannel fulfillment and real-time operational decisions. To solve this, Mojix partnered with Confluent and built its solution on Confluent Cloud and Apache Kafka to ingest and process huge IoT sensor streams at the edge and in the cloud.

Using Confluent Cloud and Kafka, Mojix deployed an edge‑to‑cloud architecture—on‑prem Kafka brokers and Kafka Streams in containers for low‑latency filtering and complex event processing, with Confluent Cloud for centralized processing, monitoring and management. The implementation raised inventory accuracy from 65% to 99%, delivered a fault‑tolerant, scalable platform, provided Confluent training and support, and let Mojix focus more on product development.


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Mojix

Dan Doles

Chief Executive Officer


Confluent

102 Case Studies