The client, one of the largest growers of premium fresh tomatoes in North America with over 1,000 acres of greenhouse facilities, prioritizes their yield forecast automation AI project.
This initiative aims to deploy a Data-as-a-Service platform powered by Artificial Intelligence. It will manage, process, and create accurate yield forecasting based on variable inputs, supporting their manufacturing and planning teams with 6 weeks forecast capabilities.
Additionally, the platform will provide configurable user front-end access for developing insights and reporting
Automation of yield forecasts would help them to improve accuracy, eliminate human error and provide better client service.
It would also help to manage allocation or excess volume more efficiently within a 6 weeks time frame and avoid unexpected volume variations.
