AS-IS · NO WARRANTIES · NO IMPLEMENTATION SERVICES · BUYER OWNS POST-SALE
05 / ASIS · E‑COMMERCE · TRUST & LOYALTY · V1.1 · LIVE ENGINE · AI-AGENT READY

ASIS Index.

A behavioural verification framework that turns customers into a structural defense moat against low-cost commodity competitors. A 12-month verified credibility signal, designed for an AI-agent-mediated commerce environment.

PACKAGE COMPOSITION · v1.1

14-file acquisition package.

DEMOS

4 interactive demos

Demo A (visual mockup), Demo B (live JavaScript scoring engine with reciprocity logic and security simulation), Demo C (interactive 7-day transaction log with rollover), Demo D (synthetic 12-month account, interactive timeline).

CODE

Python scoring engine

Functional reference implementation of the ASIS scoring engine core. For internal validation by the buyer's developer team. Authoritative source for the algorithm.

DOCS & LEGAL

Outbound + post-NDA

Master Sales Document (PDF + DOCX), One-Pager (PDF), 10-slide Pitch Deck (PPTX), Outreach Pack (3 buyer profiles × cold email + LinkedIn + follow-up + 6 reply handlers), NDA + License Agreement templates, AS-IS Notice.

THE PRESSURE

Star-rating economies are collapsing into noise.

Customer satisfaction signal in e-commerce is measured everywhere — Trustpilot, Yotpo, Bazaarvoice, NPS surveys, in-app ratings — and compared nowhere. The signal is gameable in days, copyable in weeks, and increasingly devalued in front of AI-agent-mediated commerce flows that need verifiable trust data, not aggregated stars.

ASIS resolves this by asking a different question: at the end of 365 days, is the customer still actively using the product? Survival confirmation at twelve months is structurally impossible to fake, impossible to rush, and impossible to copy under twelve months. The signal is annual, durable, and AI-agent-readable.

For an operator competing against low-cost commodity sellers, ASIS converts the customer base itself into the defensive moat.

ARCHITECTURE

Two layered mechanics.
Six operational modules.

The architecture combines a verification mechanic (annual survival confirmation) with two layered activation mechanics that turn the verified data into commercial outcomes.

  • L1
    Verified attribution layerActivates the verified customer base as an outbound channel. Customers who confirmed product survival become a trusted attribution surface for new acquisition. Consent built-in by design; the resulting CAC reduction is documented in the post-NDA materials.
  • L2
    Community surface layerA customer-club community anchored to the verified product base. Members find each other around their actually-still-used products. Creates seller stickiness no copy-cat marketplace can fake — customers don't just buy from the seller, they belong to its community. Support-load and retention deltas documented in the post-NDA materials.
  • ·
    Identity & security threadMulti-mechanism replay protection, region-bound activation, gateway-level rate-limiting, and a silent-member auto-pruning rule that prevents churn pollution in scoring.
  • ·
    Bridge promptsA multi-stage progressive prompt sequence during the 12-month verification cycle — non-mandatory, soft-touch — builds the data path without forcing engagement.
  • ·
    Annual cycleAt the end of the 12-month window, the customer is asked to rate the products they are still using. A tiered response system permits short or extended commentary per product.
  • ·
    Silence interpretationNon-listed products are NOT a negative signal. Reason is irrelevant — only positively confirmed survival enters scoring.
PRIMARY BUYER PROFILES

Three commerce buyer types.

PROFILE A

D2C Operator (≤500K users)

Direct-to-consumer brand with an existing customer base. ASIS layers on top of existing checkout and CRM. License: $30K–$80K + 0.5–1.0% royalty per reference model.

PROFILE B

Multi-Brand Aggregator

Thrasio-class multi-brand aggregators rolling up D2C brands. ASIS becomes the cross-portfolio loyalty layer. License: $80K–$200K + 0.5–1.0% royalty.

PROFILE C

Regional / Vertical Platform

Regional e-commerce platforms or vertical marketplaces (1–20M users). ASIS as the platform-level trust differentiator. License: $150K–$400K + 0.75–1.25% royalty.

WHY NOT SOMETHING ELSE

Why annual survival confirmation is structurally different.

  • vs. Trustpilot / YotpoAsks for star rating + text immediately post-purchase. Gameable. Copyable in days. ASIS asks survival confirmation at 12 months — structurally requires 12 months minimum to copy.
  • vs. Bazaarvoice / NPSQuarterly score-and-qualifier. Aggregates noise. ASIS is once per year, durable, comparable across years.
  • vs. AI-generated review filteringReactive defense against fake-review supply. ASIS sidesteps the problem entirely — the signal cannot be generated by a bot that did not own and use the product for a year.
  • vs. Internal customer-success programmesInternal programmes optimise existing engagement. ASIS adds a structural verification layer that surfaces customers competitor platforms cannot see.
  • Why AI agents need thisShopping agents transacting on behalf of users need verifiable trust signals — not aggregated stars vulnerable to coordinated manipulation. ASIS's 12-month survival signal is exactly what agentic commerce is currently missing.
COMMERCIAL TERMS

Pricing, exclusivity, terms.

  • Sale modelLicense fee + royalty. Non-exclusive or segmental exclusive per geography, per vertical, per buyer class. Multiple non-conflicting exclusives possible.
  • Pricing tiersD2C ≤500K users: $30K–$80K + 0.5–1.0% · Multi-brand aggregators: $80K–$200K + 0.5–1.0% · Regional/vertical platforms (1–20M): $150K–$400K + 0.75–1.25% · Global platforms (50M+): $400K–$1.2M+ + 0.5–1.0%. Indicative only.
  • Sale termsAS-IS · No warranties · No services · Full buyer ownership · Transferable. Rubric modification permitted under license.
  • Window9–15 months to broker conversion. AI-agent commerce timing accelerates demand.
Request Demo Materials Broker Channel
Star ratings are noise. 12-month survival is signal. ASIS · POSITION