Dynamic pricing's inflation impact: A personal challenge for central banks

Dynamic pricing, involving frequent, real-time adjustments to demand and supply, is rapidly expanding beyond traditional sectors like air travel and hospitality.

Driven by advanced algorithms and abundant data, this technique is evolving, with personalised pricing tailoring offers to individual consumer patterns.

Digitalisation has drastically reduced 'menu costs', allowing firms to alter prices at negligible expense.

For instance, the proportion of UK hotel room rates changing monthly has surged from 15 percent in 2005 to approximately 80 percent today.

Machine learning models now infer demand curves and monitor competitors, moving towards 'perfect price discrimination' where consumers pay close to their maximum willingness.

This shift introduces efficiencies but also raises concerns about fairness and complicates inflation measurement.

The adoption of technology-enabled pricing strategies varies across the UK economy, with firms' precise methods often kept secret.

A Bank of England survey (late 2025-early 2026) identified three approaches: rules-based (simple pre-set rules), market-responsive (algorithms reacting to demand/competitors), and personalised (loyalty schemes, individual habits).

All sectors plan increased use, with market-responsive pricing expected to rise from 21 percent to 31 percent of firms within a year.

Personalised pricing is already widespread, often via loyalty cards.

However, broader UK adoption is constrained by reputational concerns and potential consumer backlash over opaque pricing, rather than technological limits.

UK consumers are more likely to consider dynamic pricing unfair, and businesses are wary of regulatory actions.

This suggests a cautious approach to implementation.