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Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations

Author

Listed:
  • Yuming Deng

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Xinhui Zhang

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China; Alibaba Freshippo Division, Hangzhou, Zhejiang 311121, China)

  • Tong Wang

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Lin Wang

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Yidong Zhang

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Xiaoqing Wang

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Su Zhao

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Yunwei Qi

    (Alibaba Digital Supply Chain Divisio, Hangzhou, Zhejiang 311121, China)

  • Guangyao Yang

    (Alibaba Freshippo Division, Hangzhou, Zhejiang 311121, China)

  • Xuezheng Peng

    (Alibaba Freshippo Division, Hangzhou, Zhejiang 311121, China)

Abstract

Alibaba, which operates one of the world’s largest e-commerce platforms, designed a comprehensive omnichannel retail infrastructure that enables both online and offline ordering of products, ranging from general merchandise to fresh produce. Intelligent decisions in the supply chain, such as demand forecasting, inventory management, and price optimization, are critical to the success of any retail business; however, many unique features in retail operations defy traditional operations research solutions and pose considerable challenges. Alibaba developed a series of models and algorithms, namely, deep-learning algorithms for demand forecasting, simulation optimization–based models for inventory management, price optimization for promotions, and markdown optimization for product recommendations. Alibaba has implemented these algorithms in almost all its retail businesses over the last three years and has generated, on an annual basis, $42 million of savings in shrinkage and inventory costs, $110 million in increased sales, and $13 million dollars in increased profit.

Suggested Citation

  • Yuming Deng & Xinhui Zhang & Tong Wang & Lin Wang & Yidong Zhang & Xiaoqing Wang & Su Zhao & Yunwei Qi & Guangyao Yang & Xuezheng Peng, 2023. "Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations," Interfaces, INFORMS, vol. 53(1), pages 32-46, January.
    • Handle: RePEc:inm:orinte:v:53:y:2023:i:1:p:32-46
    DOI: 10.1287/inte.2022.1145
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    References listed on IDEAS

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    Cited by:

    1. Gioia, Daniele Giovanni & Minner, Stefan, 2023. "On the value of multi-echelon inventory management strategies for perishable items with on-/off-line channels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

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