Reduce Food Wastage Using Machine Learning


Ordering food online has been a simple task in this digitalized world. There are many online food ordering applications provides the best services. People who orders feel comfortable with its services and get easily attracted to images, that temps them to order more quantity. Despite ordering more leads to wastage of food. To overcome the food wastage in the present period is by technology.
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Birth Story Of Shelf Engine:
Stefan Kalb and Bede Jordan have founded order prediction engine name Shelf Engine. While running a Molly’s “ready meal wholesale”, Stefan Kalb was upset with knowing that about 28 per cent of food is wasted. It is a huge amount of food daily gets wasted, he wishes to lower the amount. Kalb and a Microsoft engineer work together on an order prediction engine. This project has reduced the amount of food wasted. Kalb exclaims that “It was one of the most fulfilling things I’ve ever done in my career,”. Driven by the success both have launched Shelf Engine in 2016 to help other companies also.
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Shelf Engine’s Order Prediction:
The Shelf Engine order prediction analyses historical order data and sales data and make recommendations about how much retailers should order to minimize the waste and increase the margins. It also helps suppliers on granted sales, scan-based trading etc. The system helps both retailers and suppliers by buying back unsold inventory from the retailers it works with, takes risks away from suppliers. Try Swiggy Clone.
Kalb claims that new entrepreneurs increase their gross margin by 25% and reduce food wastage from industry.
When retailers use Shelf Engine prediction Engine, it decides how many units they need and then submits your orders to their suppliers. After products reach their sell-by-date, the retailers report back to the Shelf Engine. The retailers are charged for the units they have sold, but still pays to the supplier for full orders. Shelf Engine is working on fine-tuning of its engine. For example, The order sale of specific items like juice, bread may affect due to climatic condition. Etc. Check-out Foodpanda Clone.
In addition to it, Molly has helped Kalb and Jordan with startup’s distribution network. Kalb says that they are benefited with that network, as retailers sign up, their suppliers will often mention it to other retailers that they serve. Now Kalb is increasing the strength with engineers and salespeople to leverage the Shelf Engine and spread through the food retail industry.
“It’s a world I got to know and I came into the world fascinated with healthy food and making delicious grab-and-go meals,” says Kalb.
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