The usage of data in understanding and predicting a future event has become easier with the availability of higher computing power on the cloud. Now we are able to analyze and compare data including multiple factors over large time lines to predict spoilage for food supply chains.

Our tools co-relate information coming from various sensors installed at farms, in transit and storage facilities to allow determining the total life of the produce without sampling the produce. This information is highly accurate and is able to give greater flexibility to plan and organize the complete supply chain.