Food Shelf Life
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Data science and analytics help in predicting the shelf life of the food products like bakery products, wine, etc by using predictive analysis. This may help them to save food products before it gets wasted.
Through effective big data governance organization techniques, one can sort through data that relates to the ingredients you carry on your shelves. Pinpointing the shelf life of these foods ensures you only serve fresh ingredients. It also eliminates waste and makes it easier to know exactly when you need to replenish inventory.
Benefits for the company
Perishability is an inevitable quality of food and beverage products. They will decay at some point, but AI can help you predict the shelf life more accurately based on a product’s ingredients, packaging methodologies and storage conditions.
Feasability
High
Type of expertise/ AI domain
Prediction, Forecasting, Demand – Supply management
Internal data required
Food Expiry data, demand data, etc.
The food processor enters start and stop times for various stages of the process. Sorting, washing, packaging, and placing in cold storage can all be tracked with automated sensors.
Again, the product is monitored on its way from the processor to the grocer or restaurant. Any delays that could cause the food to spoil prematurely can be easily identified.