Industries · No. II
E-commerce.
Storefronts that convert with personalisation labelled as personalisation, not disguised as discovery.
For — D2C founders and storefront operators
§ A · Civic angle
Why this vertical, why now.
Online shopping is one of the largest theatres where AI now mediates between buyer and seller. The temptation is to make the algorithm invisible. We make it visible — the shopper sees what was personalised, why, and can switch it off.
§ B · The landscape
Regulatory + ethical context.
PCI-DSS for payments, consumer protection regulation, dark-pattern bans in jurisdictions like California and Europe, and advertising-disclosure requirements that increasingly apply to algorithmic personalisation.
§ C · Charter alignment
4 instruments from the Charter carry the weight here.
Every NeuroBazar engagement is anchored to specific Charter modules — published with dual purpose. For e-commerce, these are the load-bearing ones:
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◊ Vector DB
No. 09
Knowledge retrieval gated by policy, citation by default.
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◗ Document Intelligence
No. 13
OCR, classification, extraction, and authenticity scoring.
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◇ Recommendations
No. 14
Suggestions disclosed as suggestions, with the user always in charge.
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◧ Classification
No. 18
Sorting that knows where it can and cannot be applied.
§ D · What we would ship
Three patterns we have built for this vertical.
We do not show invented case studies. We describe the project patterns we would ship for you, anchored in the Charter modules above. The names of past clients are private; the shapes of the work are not.
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Pattern 01
Visible merchandising
Recommendations explained inline: "we surfaced this because you viewed X." A single toggle disables personalisation site-wide.
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Pattern 02
Inventory + supply intelligence
Stock signals, supplier scoring, and demand forecasts inside the merchandising panel — auditable and exportable.
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Pattern 03
Returns reasoning that respects the shopper
Returns handled with an explained reasoning chain. Refund proposals offered, not imposed. Disputes routed to humans.
§ E · 90-day blueprint
From kickoff to handover, in twelve weeks.
The work is concentrated. The horizon is short on purpose — a clear delivery, then a decision about what comes next. No "discovery phase" that stretches into a billable quarter.
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Step 01
Weeks 1–2
Storefront audit, conversion baselines, dark-pattern inventory.
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Step 02
Weeks 3–6
Recommendation engine with disclosure. Inventory intelligence live.
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Step 03
Weeks 7–10
Returns workflow with reasoning. Vendor portal hardening.
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Step 04
Weeks 11–12
PCI-DSS audit trail. Personalisation kill-switch documented for buyers.