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The Pitfalls of Pricing Algorithms: Be mindful of how they can hurt your brand

Research output: Indexed journal article Articlepeer-review

11 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)74-83
Number of pages10
JournalHarvard Business Review
Volume99
Issue number5
Publication statusPublished - 1 Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Algorithmic Pricing
  • Dynamic Pricing
  • Price
  • Change
  • Information Technology
  • Brands and Branding
  • Perception
  • Consumer Behavior

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