Genpact and Analytics Vidhya presents the “Genpact Machine Learning Hackathon 2018”. A great opportunity to showcase your machine learning and analytical abilities and compete with the best data scientists out there.
Your client is a meal delivery company which operates in multiple cities. They have various fulfillment centers in these cities for dispatching meal orders to their customers. The client wants you to help these centers with demand forecasting for upcoming weeks so that these centers will plan the stock of raw materials accordingly.
The replenishment of majority of raw materials is done on weekly basis and since the raw material is perishable, the procurement planning is of utmost importance. Sec ondly, staffing of the centers is also one area wherein accurate demand forecasts are really helpful. Given the following information, the task is to predict the demand for the next 10 weeks (Weeks: 146-155) for the center-meal combinations in the test set:
- Historical data of demand for a product-center combination (Weeks: 1 to 145)
- Product(Meal) features such as category, sub-category, current price and discount
- Information for fulfillment center like center area, city information etc.
A Regression Problem where based on the historical data of week demands and supply along with the Meal features, the user has to predict the number of orders accurately.
- Public LB : 156th Rank
- Private LB : 159th Rank private leaderboard yet to be finalised
https://datahack.analyticsvidhya.com/contest/genpact-machine-learning-hackathon/
https://datahack.analyticsvidhya.com/user/profile/rajat5ranjan