Cited By
View all- Virgiawan RAmda Anisa RPusparini M(2024)Consumer buying behavior towards point-of-sale material of halal cosmetic productsCogent Business & Management10.1080/23311975.2024.232202011:1Online publication date: 11-Mar-2024
Improving Purchase Forecast for Cosmetics by Modelling Customer Purchase Behavior
Pages 110 - 114
Abstract
The traditional inventory forecasting method cannot accurately predict the demand of cosmetics consumer market, because cosmetics market has too many imported items, seasons discount, festival discount promotions, product combination promotions, and other sales variables. In addition, the company often send cosmetic products by air in the European region due to insufficient stock. This study analyzes the point of sale data of a real cosmetic company through the sequence analysis algorithm. From the research results, the order characteristics of consumers' purchases can be obtained, which helps the company to predict the quantity of goods purchased in each season, improve inventory management, and understand the preference of product portfolios in a more precise way.
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Index Terms
- Improving Purchase Forecast for Cosmetics by Modelling Customer Purchase Behavior
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Published In
July 2019
297 pages
ISBN:9781450372190
DOI:10.1145/3345035
Copyright © 2019 ACM.
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- Beijing University of Technology
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Association for Computing Machinery
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Published: 15 July 2019
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ICEME 2019
ICEME 2019: 2019 10th International Conference on E-business, Management and Economics
July 15 - 17, 2019
Beijing, China
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View all- Virgiawan RAmda Anisa RPusparini M(2024)Consumer buying behavior towards point-of-sale material of halal cosmetic productsCogent Business & Management10.1080/23311975.2024.232202011:1Online publication date: 11-Mar-2024
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