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Forecast prediction of elements for maintenance(2)

The issue, forecast preparation of elements in routine maintenance, is to predict daily consumptions of the shared item groups within laptops. Maintenance records of applied materials and sales records of products would be used as the base to predict future consumptions. Considering the time spent from purchasing materials globally to delivering materials to maintenance base, we have daily forecast preparation offer to predict the weekly consumptions in the next 21 weeks, which enalbes customer service unit to purchase and operate transportations of elements. How to predict the consumption precisely has become a vital issue to lower the cost. This issue is for acedemia to participate only, and are welcome to lower the preparation costs by exploring future consumptions of shared items through data science.This is an open-ended problem that can be solved consistently over a long period of time, and has offered milestone awards for participants. the award will be given to the first three participants who reached the Baseline(MAPE<40), and Private Leaderboard will be updated occasionally.After the milestone is ended, date set will be updated(around October), and the scores (includes individual ones and the ranking) will be cleared.Prize InformationMAPE < 20 300,000 discount points of hicloudMAPE < 30 200,000 discount points of hicloudMAPE < 40 100,000 discount points of hicloudRewards were provided by Chunghwa TelecomNote: 1.Hicloud points can redeem service charge. After the discount, the price will be charged at 30% off based on the list price automatically.Note: 2.Chunghwa Telecom deserves the right to make changes to the terms and conditions herein.Note: 3.For those who reached the baseline, the awards and certificates will be given after the models passed the verification.The example of calculating points can be referred to https://aidea-web.tw/computing

2019-04-01T16:00:00+00:00 ~ 2019-09-30T15:59:59+00:00