Case Study: a multinational retail brand achieves real-time store visibility and optimized operations with Persistent Systems

Persistent builds a machine learning & streaming analytics based, real-time store dashboard for a multinational retail brand

The customer, a multinational clothing and lifestyle retail brand, was struggling with data silos across its hundreds of stores, which prevented store managers from having visibility into intraday sales, traffic, and conversions. This lack of real-time insights hindered their ability to benchmark performance and deliver a seamless consumer experience. To address this, they partnered with vendor Persistent Systems to implement a solution leveraging Google Cloud technologies.

Persistent Systems designed and built a machine learning and streaming analytics solution on Google Cloud Platform, using tools like Dataflow, BigQuery, and Pub/Sub. This system ingests and processes real-time data from numerous sources, providing a live dashboard for actionable insights. The result is a highly scalable data pipeline that handles 50,000 orders daily, granting the brand real-time performance visibility, optimized staff and inventory allocation, and significant cost savings.