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 language | English |
|---|---|
| Pages (from-to) | 74-83 |
| Number of pages | 10 |
| Journal | Harvard Business Review |
| Volume | 99 |
| Issue number | 5 |
| Publication status | Published - 1 Sept 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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