商店数据集的需求预测

Vicky Malhotra MIT, Boston Data Set Information: 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. Secondly, 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. Attribute Information: Weekly Demand data (train.csv): Contains the historical demand data for all centers, test.csv contains all the following features except the target variable Variable Definition id Unique ID week Week No center_id Unique ID for fulfillment center meal_id Unique ID for Meal checkout_price Final price including discount, taxes & delivery charges base_price Base price of the meal emailer_for_promotion Emailer sent for promotion of meal homepage_featured Meal featured at homepage num_orders (Target) Orders Count fulfilment_center_info.csv: Contains information for each fulfilment center Variable Definition center_id Unique ID for fulfillment center city_code Unique code for city region_code Unique code for region center_type Anonymized center type op_area Area of operation (in km^2) meal_info.csv: Contains information for each meal being served Variable Definition meal_id Unique ID for the meal category Type of meal (beverages/snacks/soupsa€|.) cuisine Meal cuisine (Indian/Italian/a€|) Relevant Papers: N/A Citation Request: Please refer to the Machine Learning Repository's citation policy