We develop comprehensive data analytics models that encompass real-time data collection, cleaning, processing, monitoring, prediction, and automated activity actuation. These models empower our customers to make data-driven decisions, optimizing quantity, quality, and return on investment sustainably. Initially targeting the African Tea Industry, a $20+ billion market with over 2 million metric tons produced annually, we leverage second-by-second production data to provide statistical monitoring, predictive insights, and automated process control. This enables over 10 million tea farmers and 400+ factories to address persistent variations in tea quality, price, and revenue, while reducing carbon footprint and energy-related emissions.