Algorithmic Pricing

Algorithmic Pricing Disclosure Software

Map which personal data categories influence prices and prepare consumer disclosure, opt-out, and governance evidence.

What this module covers

Pricing data category inventory

Consumer disclosure readiness

Fairness and proxy-risk review

Experiment and vendor governance

Generated evidence

Pricing Logic Inventory

Consumer Disclosure Pack

Opt-Out Guidance

Experiment Governance SOP

Who needs this module

E-commerce, SaaS, travel, marketplace, delivery, subscription, and marketplace teams using dynamic or personalized pricing.

Businesses that use personal data, behavioral signals, location, device, loyalty, or inferred traits in pricing decisions.

Teams preparing disclosures, pricing governance, experiment controls, and vendor evidence for emerging state laws.

What users can export

Pricing data category inventory

Consumer disclosure draft

Opt-out and exception workflow

Fairness and proxy-risk review checklist

Compliance questions this page answers

What is algorithmic pricing disclosure?

Algorithmic pricing disclosure means telling consumers when automated systems or personal data influence prices, fees, discounts, offers, or ranking of commercial terms.

What is surveillance pricing?

Surveillance pricing usually refers to using personal data, behavior, location, device signals, or inferred characteristics to set or personalize prices. The exact legal definition varies by state.

What does CompliClear generate?

The module generates a pricing data inventory, disclosure language, opt-out guidance, experiment governance SOP, and audit evidence for counsel review.