Our client is an American multinational discount store operator and one of the largest corporations in the global retail industry. It is the largest retailer in the world, with 10,623 stores and 380 distribution facilities in 27 countries. Its revenues since 2022 have exceeded $600 billion a year. More than 58% of its revenue comes from in-store grocery purchases.
The client faced a critical challenge in managing and monitoring their cooking equipment, storage containers, and transport vehicles. With an extensive network of Internet of Things (IoT) sensors continuously streaming data on power, temperature, HVAC, and more, they needed a robust solution to process, enrich, and analyze this high-speed, low-latency data in real-time.
The client dealt with a staggering order of 100,000 messages per second from IoT devices, requiring constant monitoring of food storage and processing environments. The challenge was to ensure real-time parsing, enrichment, predictive monitoring, and continuous delivery of data to advanced analytics and data science users
To address these challenges, our team proposed a comprehensive solution:
Real-time Data Processing Layer:
Data Enrichment:
Real-time Data Aggregation:
Analytics Layer:
Data Storage:
The implemented solution resulted in several positive outcomes:
Seamless Ingestion and Processing:
Technology-Agnostic Robust Architecture:
Near Real-time Enrichment and Analytics:
Advanced Analytics with AI/ML:
The implemented solution not only met but exceeded the client's expectations. It established a foundation for future scalability and innovation in the realm of real-time IoT data processing, enriching the food industry's monitoring capabilities in hot and cold environments.