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商品編號: R2105D 出版日期: 2021/09/01 作者姓名: Bertini, Marco;Koenigsberg, Oded 商品類別: Other 商品規格: 11p 再版日期: 地域: 產業: 個案年度: -
商品敘述:
More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors'' activities, delivery schedules, and so forth. But constant price shifts have a downside: They may trigger unfavorable perceptions of a firm''s offerings and its brand. It''s vital, therefore, to understand and manage the signals being sent by the algorithms. The authors offer real-world examples of companies that have succeeded in this endeavor and others that have not. And they recommend four steps to avoid harm: Determine an appropriate use case for algorithmic pricing and explain its benefits to customers; designate an owner to supervise and be accountable for the system; set and monitor guardrails, both to protect against wild surges and to learn how price changes affect all aspects of the organization; and override the algorithms when necessary.
涵蓋領域:
AI and machine learning;Algorithms;Automation;Brand management;Customer experience;Customer retention;Customer satisfaction;Pricing strategy;Technology and analytics
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