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Flagship operational product

Make every product understandable. Make every decision measurable.

Specicon Commerce Intelligence structures catalogue information, improves AI discovery, delivers explainable product decisions and connects every recommendation to a measurable outcome — powered by the Specicon Decision Core.

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Every surface, one answer

The same decision, everywhere it is needed.

Web, app, chat, email and the sales console all read from one decision, so no channel invents its own logic.

Websame reasonAppsame reasonChatsame reasonEmailsame reasonSales consolesame reason

The commerce loop

Structure the catalogue. Understand the shopper. Prove the outcome.

Step 01

Connect

Products, brands, prices, inventory, descriptions, images and reviews arrive from the systems you already run — platform, PIM, ERP, CSV, database or API.

Step 02

Structure

Ordinary catalogue information becomes industry-specific Product DNA: organised, normalised, enriched, validated, with information gaps made visible.

Step 03

Decide & explain

A shopper’s current need meets the structured catalogue. Eligible options are ranked, unsuitable ones excluded, and every result arrives with a readable reason.

Step 04

Deliver

One decision reaches the website, app, search, assistant, WhatsApp, email and the customer-service console — the same answer everywhere.

Step 05

Measure

Views, comparisons, carts, purchases, returns and repeat orders attach back to the decision that produced them.

Step 06

Improve

Outcomes become evidence. The next decision for that shopper — and for shoppers like them — starts from a better position.

An operator at a Specicon console, product options arranged around them as the decision resolves — One operator, one live decision surface.From the Specicon film

Module 01 · Catalogue Intelligence

Your catalogue, made legible.

Import from the platform you already use, normalise inconsistent attributes, enrich thin records and surface exactly which products are not yet ready to be recommended or compared.

ImportNormaliseEnrichValidateGap detectionReadiness

Catalogue readiness Example data

Products detected12,480 · 100%

Categories mapped214 · 96%

Records missing key facts1,102 · 9%

Ready to recommend11,378 · 91%

Module 02 · Product Intelligence Score

One number for whether a product can be decided about.

The score reads information completeness, recommendation readiness, comparison readiness, AI readability, content quality and verification status. It tells merchandising teams what to fix first — before a shopper ever sees the gap.

Information completeness

Which facts a shopper needs to choose confidently, and which are missing from the record.

Recommendation readiness

Whether the product can be matched to a stated need rather than only to a keyword.

Comparison readiness

Whether it can be placed side by side with alternatives on the terms that matter.

AI readability

Whether assistants and answer engines can read, cite and represent the product correctly.

Content quality

Whether the description does real work or repeats the title in longer form.

Verification status

Which facts are sourced and checked, and which are inherited from a supplier feed.

Score composition and weighting remain proprietary. The console shows the result and the recommended action, not the formula.

Module 03 · Content & GEO Studio

Written to be read — by people and by engines.

Product descriptions, FAQs, comparisons, buying guides and category content generated from structured Product DNA, so the words on the page agree with the facts behind the decision.

Structured product facts

Machine-readable statements an answer engine can quote without inventing the missing half.

Comparison and guide content

The pages shoppers actually search for, built from the same DNA that drives recommendations.

Consistency across surfaces

One set of facts behind the storefront, the assistant, the feed and the guide.

Module 04 · AI Visibility

Know how AI answers describe your brand.

Brand and product mentions

Where you appear when a shopper asks an assistant instead of a search box.

Competitor comparison

Who is being named alongside you, and on which attributes.

Citation sources

Which pages the answer is drawing from — yours, a retailer’s or a forum’s.

Content gaps

The questions being asked that nothing in your catalogue currently answers.

AI-assisted referrals

Sessions that arrive already informed, and what they do next.

Change over time

Whether the work you shipped moved how you are described.

Monitoring prompt libraries and evaluation methods remain proprietary.

Module 05 · Conversational Commerce

A shopper explains the situation. The catalogue answers.

Guided discovery on the website, in search, in chat and over WhatsApp — with comparisons, honest alternatives and a clean hand-off to a human when the decision needs one.

Website assistantGuided discoverySearchWhatsAppComparisonAlternativesHuman escalation

Example

I need something sophisticated for an outdoor evening wedding. Not sweet. Noticeable but controlled. Under $150.

Best match · strong fit

Fits the occasion, the impression you want and your budget, with controlled projection for open air.

Trade-off: warmer than your usual everyday choice. A safer alternative and a more distinctive one are shown alongside it.

Module 06 · Revenue Intelligence

Every decision, traced to what it earned.

Recommendation, content and AI-referral attribution joined to conversion, gross profit, returns and repeat purchase — with influenced results and incremental results kept clearly apart.

Reported separately

Influenced

Revenue where a Specicon decision appeared somewhere in the journey. Useful, and never presented as incremental.

Holdout comparison

Incremental

The difference measured against a comparable group receiving your existing experience, over an agreed period.

Actual figures appear once outcome data is connected and the agreed measurement period completes.

Add it to what you already run

Four steps, no replatform.

Connect your data, review readiness, integrate the decision call and deploy it as a widget, an API response or a headless surface.

ShopifyWooCommerceAdobe CommerceSalesforce CommerceCustom websiteREST APICSVDatabase

Integration-ready. Listing a platform does not imply an official partnership.

Simplified integration exampleJavaScript

const decision = await specicon.decisions.create({
  customer: "customer_123",
  need: "evening event",
  constraints: {
    budget_max: 150,
    avoid: ["very sweet"]
  }
});

Response

{
  "results": [{
    "option_id": "option_104",
    "fit": "strong",
    "confidence": "high",
    "reasons": [
      "Fits the stated occasion",
      "Respects the budget",
      "Avoids the specified conflict"
    ]
  }]
}

Next move

Start with one catalogue and one decision.

Bring a real decision your shoppers struggle with. We map the data it needs, the surfaces it touches and a realistic path to production.

Start a project See the UCCUDA implementation