Case Study: a leading Fortune 500 retail company boosts inventory accuracy with Zoolatech’s real-time big data platform

a leading fortune 500 retail company lifts inventory accuracy from 60% to over 90% with Zoolatech

A major fortune 500 retail company faced challenges with fragmented legacy systems that created data silos, inconsistent reporting, and poor inventory accuracy. They partnered with Zoolatech to build a unified, enterprise-grade big data analytics platform to overcome these obstacles and gain real-time operational visibility.

Zoolatech implemented an event-driven architecture using Kafka for real-time data streaming and Java microservices for processing. This solution consolidated data into a central warehouse and utilized Tableau for analytics. The results were transformative, with inventory accuracy dramatically increasing from 60% to over 90% and the company gaining new capabilities for ML-driven forecasting and optimization.