Algorithmic Pricing Governance & Audit Toolkit
Businesses increasingly use algorithmic or AI-assisted pricing, while competition authorities are examining how shared data, common vendors, automated recommendations and personalised pricing can affect competition and consumer outcomes. Operational consequences: A company may be unable to demonstrate what data entered a pricing system, whether staff independently overrode recommendations, which competitors use the same vendor or how a material pricing-model change was reviewed. That creates antitrust and reputational risk even where dynamic pricing itself is legitimate.