retail-decision-record-audit-stream
16-kind event taxonomy across 12 commerce surfaces; TWO retail-specific invariants (personalized-pricing-transparency + biometric-consent)
Six sibling specs for AI tools that touch personalized pricing, recommendation ranking, loyalty-tier classification, fraud screening, refund decisions, ad personalization, BOPIS routing, and biometric identification. The Suite vertical 6-pack that lets a retailer, marketplace, brand, or ad-tech vendor publish Decision Cards that satisfy FTC Section 5 algorithmic-pricing enforcement, EU Omnibus pricing transparency, state pricing-transparency + bias-audit obligations, and BIPA biometric-consent requirements.
FTC Section 5 · FTC algorithmic-pricing guidance (2023) · FTC Operation AI Comply (2024) · EU Omnibus Directive 2019/2161 Art 6a (personalized-pricing disclosure) · EU AI Act high-risk Annex III · CCPA / CPRA · CA CPPA ADMT regulations · NY S365A ATBP (in-comm) · CA SB-892 · BIPA 740 ILCS 14 + 2024 SB 2979 amendment · NYC §22-1201 (biometric) · PCI DSS 4.0 · GLBA Safeguards (retail-finance overlap)
TWO retail-specific invariants on audit stream (personalized-pricing-transparency-disclosure-required + biometric-consent-artifact-required); BIPA per-scan-stacking remediation context (post-SB 2979); CPPA ADMT regulations as a state-level enforcement vector beyond FTC Section 5; ADMT opt-out + Global Privacy Control honor records in audit stream; biometric template special retention envelope (365-day BIPA-aligned hard-delete).
Every Kinetic Gain Protocol Suite vertical 6-pack contains exactly these six artifact shapes. The same six shapes appear in every vertical — only the per-vertical content (data categories, regulatory basis, invariants) differs.
retail-decision-record-audit-stream16-kind event taxonomy across 12 commerce surfaces; TWO retail-specific invariants (personalized-pricing-transparency + biometric-consent)
state-retail-ai-disclosure-trackerPer-state retail AI lifecycle ledger; seed: IL BIPA + 2024 amendment, CA CCPA → CPRA → CPPA ADMT, NY S365A ATBP + NYC §22-1201 biometric
ftc-algorithmic-pricing-readiness-evidence-bundle12-section bundle covering AI inventory + disclosure artifacts + annual bias audits + vendor due-diligence + ADM opt-out + biometric consent + dark-patterns review
consumer-pricing-bias-coverage-lab6 cohort dimensions (income-proxy / language-locale / device-class / time-of-day / geographic / loyalty-tenure); 4-band verdict (within-tolerance / watchlist / investigate / remediate)
retail-ai-incident-card-profile12 RetailTech event types (pricing discrim, biometric misidentification, fraud false positive, dark-patterns enforcement, minor-targeting, data-broker exposure); 8 reason codes
shopper-pii-vault-contract-profile7 data classes (identity, payment, biometric, purchase history, browsing history, loyalty, location) × 4 tokenization methods × 6 retention envelopes (biometric-special = 365-day hard-delete)
A buyer's procurement team operating across mixed regulated verticals — HealthTech AI vendors plus FinTech AI vendors plus HR Tech AI vendors — can apply the same six-shape Suite vocabulary to every vendor in every vertical. The kg-suite-vertical-router tool routes any artifact to the right vertical's verification logic with one CLI command. The kg-suite-vertical-comparator tool surfaces the SAME-vs-DIFFERENT design contributions across all eleven verticals as a single reference table.