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

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

11 Citas (Scopus)

Resumen

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.
Idioma originalInglés
Páginas (desde-hasta)74-83
Número de páginas10
PublicaciónHarvard Business Review
Volumen99
N.º5
EstadoPublicada - 1 sept 2021

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 12: Producción y consumo responsables
    ODS 12: Producción y consumo responsables

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