RETAIL
Governance-native AI infrastructure for commerce, pricing, and merchandising
Constitutional RuntimeWho this is for
Retail and commerce technology leaders, merchandising and pricing operations groups, e-commerce platform teams, marketplace trust and safety functions, and consumer-brand digital officers deploying AI where a wrong answer touches a customer wallet, a fair-treatment obligation, or a regulator. When a personalization engine recommends, a dynamic pricing model prices, or a fraud filter blocks, the constitutional surface belongs upstream of the model.
- Enterprise retailers, department stores, and grocery chains
- E-commerce platforms and multi-brand marketplaces
- Direct-to-consumer brands running personalization and recommendations at scale
- Merchandising, pricing, promotion, and inventory-planning organizations
- Payments, fraud, chargeback, and consumer-trust functions
Capability surface
Constitutional runtime
The PRAXIS 7-Gate pipeline enforces governance on every AI action. It stops when unsure. Evidence is mandatory. Defaults deny rather than guess. Personalization, dynamic pricing, promotion allocation, and fraud decisions inherit this posture by construction, not by policy overlay.
Evidence control layer
Every price offered, recommendation surfaced, promotion granted, and account action taken is recorded to a tamper-evident, SHA-256 hash-chained evidence store. Consumer-inquiry and regulator-ready trace by default, not retrofit. Sealed receipts outlast the merchandising cycle.
Fair-treatment governance
Bounded autonomy enforces separation of duties, deterministic escalation, and hard stops on unsafe pricing or personalization behavior. Disparate-impact posture, dark-pattern guardrails, and price-parity discipline are enforced at the runtime layer, not left to downstream review.
Regulatory alignment
Deterministic governance maps to PCI-DSS payment controls, GDPR and CCPA consumer-data controls, FTC unfair-and-deceptive-practices posture, EU Digital Services Act obligations, and ADA and WCAG accessibility. SOC 2 self-certified. ISO 42001 readiness-mapped.
Cross-channel consistency
Web, mobile, marketplace, in-store, and call-center AI actions carry the same governance and evidence chain. Consumer complaints, ombuds inquiries, and internal audit reach one authoritative record regardless of the touchpoint.
Sovereign deployment
On-premise or private-cloud sovereign deployment for retailers that cannot exfiltrate consumer data, transaction history, or pricing logic to a vendor cloud. Evidence store and constitutional runtime run inside the boundary you already trust and audit.
Where governance meets commerce
Retail AI applications compound risk when governance is retrofitted. ETHRAEON is designed for the classes of decision where consumer trust, regulatory exposure, and audit trail all matter.
- Dynamic and personalized pricing. Every price surfaced to a customer carries sealed provenance: input features, model version, guardrail state, and human authority for edge-case escalation.
- Recommendation and personalization. Product surfacing, ranking, and content selection pass through the constitutional runtime with fair-treatment and dark-pattern controls enforced by construction.
- Fraud and chargeback decisions. Automated blocks, holds, and account actions carry hash-chained provenance for consumer appeal, regulator inquiry, and internal review.
- Merchandising and inventory allocation. Assortment, replenishment, and markdown recommendations record the decision chain from raw demand signal to buyer approval.
Mapped ETHRAEON products
The operational problem in retail content is proving, after an FTC inquiry or a consumer complaint, that an AI-drafted campaign asset was governed: that the content's generation lineage is intact, that each attributed marketing touchpoint carried consent, and that the claims the asset made were substantiated. Two ETHRAEON products map directly onto that problem and run as one governed workflow. The concrete deliverable is a campaign-asset provenance receipt plus a marketing-claim evidence grade for a promotion or recommendation surface.
Attribution Engine
Live runtime, available by subscription. For a retailer it hash-chains content provenance from the generation moment forward for every AI-drafted offer creative, personalized recommendation, and campaign asset, exports a C2PA-compatible receipt, and emits a disclosure that survives copy-paste. On the attribution side it honors consent per touchpoint and assigns credit under a model registry of first-touch, last-touch, linear, and position-based, returning a SHA-256 evidence node for every run. Identity resolution and incrementality are external-bound: they need a buyer identity graph and holdout data, so the runtime reports that state instead of producing a number. Budget and spend decisions stay with the buyer.
FactPulse Pro
Live runtime, available by subscription. For the advertised claims on a price, promotion, or product recommendation it returns an evidence-graded verdict with a source-cited explanation, a confidence score, an expert-review flag, and a source-credibility rating, and it persists the governed submission through the runtime. Live aggregation across external fact-check sources is credential-bound in a full deployment; the graded intake is governed and source-attributed by construction. Editorial and legal judgments are never automated by the runtime.
TRACELET 1.1 with Evidence Graph
Operational core orchestration. For the retail workflow it is the replayable substrate under the provenance receipt and the claim grade. It emits and verifies Evidence Graph (EDG) nodes, binding the content-provenance receipt and the claim-evidence grade into one hash-chained trace that survives substrate replacement and reaches consumer-inquiry and regulator review as one authoritative record.
Deliverable: a campaign-asset provenance receipt plus a marketing-claim evidence grade for a promotion or recommendation surface. It maps against FTC unfair-and-deceptive-practices posture, EU Digital Services Act obligations, and GDPR and CCPA consumer-data and marketing-consent controls, and is produced by the governed runtime at the moment the asset is created, not reconstructed under complaint pressure afterward.
The pricing, offer, and merchandising calls stay with the retailer; the runtime produces the evidence.
Proof surface
ETHRAEON runs its own operations under constitutional governance. 300 plus production surfaces, 700 plus governance directives executed and evidenced, a hash-chained evidence store, and a substrate registry that reports live status. The infrastructure is the demonstration.
Engagement
Retail engagements start with a governance briefing scoped to your channel mix, regulatory posture, and current AI deployment surface. The briefing produces a written architecture assessment and a deployment path proposal. From there: pilot, evidenced production integration, or sovereign private-cloud install.
Portfolio anchors
ETHRAEON is a constitutional runtime and evidence control layer. Portfolio posture: 16 filed U.S. provisional applications / 75 technical specifications / 9 families. Public claims are calibrated. AGI-class and ASI-class positioning is architectural, not an achievement claim.