swiggy-hackathon-2018

ML Model for Demand Prediction: Swiggy Hackathon 2018 (The Flockers Team)

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HotZones: Machine Learning model for Order Demand Prediction combined with Data Visualization

HotZones is an ML-based order prediction engine which will help delivery executives to get by keeping them in proximity to high demand areas

• If the delivery executive is not getting the leads, he can see the high demand areas in hot zones and move to that location for more leads.

• Based on the demand and supply, Swiggy can trigger push messages to delivery executives to move to high demand areas

• A delivery executive can go to hot zones section in the app to see the predicted high demand areas and plan his day accordingly

Live Demo

https://techstein.herokuapp.com/

Presentation - https://drive.google.com/open?id=16cySnFzRUUPgnikRy5aCGaSOxODG5t3k

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Updates

posted an update —

Impact

• Get more and frequent delivery tasks. • Make more incentives. • Happy delivery executives. • Better user experience for the customer. • Increase the number of orders by reducing the drop orders due to the absence of delivery executives. • Reduces the chances of migrating delivery executive to other competitors. • Utilizing the maximum man force of the delivery executives. • Balancing the demand and supply at any point in time. • Making more money. (money saved is money earned.)

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