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#### Introduction

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.

#### Prize Information

The first place: 100,000 discount points of hicloud

The second place: 50,000 discount points of hicloud

The third place: 50,000 discount points of hicloud

Honorable mention: 50,000 discount points of hicloud (multiple winners, depends on the final result)

Rewards were provided by Chunghwa Telecom
Note: 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.

#### Activity time

The competition will start at 12:00 AM Taiwan Standard Time (UTC+8) on 04/08/19, and end at 11:59 PM on 07/01/19. The result will be announced on 07/05/19.

#### Evaluation Criteria

After the participants prepare the forcasts of the shared item group, the back-end of the system would process them in bathces regularly to calculate the score. Evaluations are conducted by calculating the mean absolute percentage error (MAPE) of the actual value. The formula is as follows, $$MAPE = \frac{100}{n} \; {\sum_{i=1}^{n}} \; { \biggr\lvert \frac{ y_i - \hat{y}_i }{y_i} \biggr\rvert }$$

#### Rules

• The evaluation result would be based on the final version that you upload. If two teams (or more) got the same evaluation scores, the time they upload would determine the ranking.
• When using external datasets, participants are not allowed to use data over 05/01/17 as the basis of the test results. Data sets instructions and references should be stated in the forum for references.
• If there is cheating or fraud during the activity, the team that cheats will be disqualified from the activity and the vacancy would be filled up by other teams in the ranking order.
• After uploading, the answers of test data would be divided into two parts to calculate the score,
• Before the deadline of the activity: The system refers to partial Ground Truth of test data to examine and calculate the score. The result will be posted on Public Leaderboard as reference for the final score and ranking. This data accounts for 40% of the entire test data.
• After the deadline of the activity: The system refers to Ground Truth of the remaining test data to examine and calculate the score. The result will be posted on Private Leaderboard as reference for the final score and ranking.
• If there is a dispute in the future, the organizer reserves the right to make the final decision