Problem: A food and beverage manufacturing company faced a challenge with maintaining temperature and humidity control in their storage facilities. Fluctuations in environmental conditions led to spoilage, product quality issues, and increased waste.

Solution: To tackle this issue, the company implemented an IoT-based Environmental Monitoring System. IoT sensors were installed throughout the storage facilities to continuously monitor temperature and humidity levels. Real-time data was sent to a centralized control system, enabling immediate adjustments and ensuring optimal conditions for product storage.

Problem: Despite improvements in environmental monitoring, the food and beverage manufacturer encountered a new problem related to supply chain visibility. They struggled to track the movement of raw materials and finished products from various suppliers and warehouses, resulting in delays and inefficiencies.

Solution: To enhance supply chain visibility, the company extended their IoT implementation to include a comprehensive Supply Chain Tracking System. RFID tags and GPS-enabled sensors were deployed on raw materials and products, allowing real-time tracking throughout the supply chain. This improved inventory management, reduced delivery times, and minimized stockouts.

Problem: The food and beverage manufacturer faced a third challenge regarding energy consumption. High energy costs and environmental concerns were affecting profitability. They needed a solution to optimize energy usage in their manufacturing processes.

Solution: To address this issue, the company implemented an IoT-driven Energy Management System. IoT sensors were integrated into production equipment to monitor energy consumption patterns. Machine learning algorithms analyzed the data to identify opportunities for energy efficiency improvements. This resulted in reduced energy costs and a smaller environmental footprint while maintaining product quality.