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Commerce Intelligence

Turn product information into buying intelligence.

We engineer the connections between catalog data, AI-powered discovery, product evaluation, and measurable commerce experiences, helping shoppers make more informed choices.

The commerce loop

From catalog data to informed decisions.

Step 01

Connect

Bring together product records, attributes, pricing, availability, and other relevant information from existing systems.

Step 02

Structure

Normalize attributes, identify inconsistencies, and organize product information into a usable foundation for evaluation.

Step 03

Evaluate

Connect shopper requirements with eligible products, assessing suitability and relevant trade-offs.

Step 04

Deliver

Bring recommendations, explanations, and product information into the customer-facing channels that need them.

Step 05

Measure

Connect available interaction and transaction data to the experiences and decisions that preceded them.

Step 06

Refine

Use product-data reviews, testing, and observed outcomes to guide subsequent improvements.

Module 01 · Catalog Intelligence

A catalog the system can understand.

We bring fragmented product information into a consistent structure, identifying missing attributes, conflicting details, and gaps that affect discovery and evaluation.

ImportMapNormalizeEnrichValidateReview
Catalog readiness Illustrative dataset
Products detected12,480
Categories mapped214
Records missing key attributes1,102
Ready for recommendation evaluation11,378

Sample data shown for demonstration. Readiness depends on the requirements of the configured application.

Module 02 · Product Intelligence Score

Know what’s ready. See what needs work.

Six evaluation areas reveal how well product information supports discovery, comparison, and reliable interpretation, helping teams prioritize improvements.

Information completeness

Identify missing attributes, specifications, or details relevant to the buying decision.

Recommendation readiness

Assess whether sufficient information exists to evaluate a product against defined customer requirements.

Comparison readiness

Determine whether products can be compared meaningfully using consistent attributes and criteria.

AI readability

Review whether product information is structured and accessible for machine interpretation.

Content quality

Evaluate the clarity, specificity, and usefulness of descriptions and supporting information.

Verification status

Distinguish sourced or reviewed product facts from incomplete, unverified, or conflicting information.

Module 03 · Content & GEO Studio

Content grounded in product knowledge.

Create and refine descriptions, comparisons, FAQs, and buying guides from structured product information, keeping the published content aligned with the facts behind each product.

Structured product facts

Organize relevant attributes and specifications into consistent, machine-readable information.

Comparisons & guides

Build content around meaningful product differences, customer questions, and buying considerations.

Cross-channel consistency

Maintain consistent product information across storefronts, product feeds, content, and supported AI experiences.

Module 04 · AI Visibility

Understand how AI represents your products.

Examine how brands and products appear in supported AI discovery environments, identify inaccurate or incomplete information, and evaluate opportunities to improve content visibility.

Brand & product mentions

See where relevant products and brands appear in monitored responses.

Competitive context

Understand which alternatives appear alongside your products and how they are described.

Citation sources

Inspect available source references and the information used to support responses.

Content gaps

Identify customer questions and product details that existing content does not adequately address.

AI-assisted referrals

Examine identifiable referral traffic from supported AI discovery sources.

Change over time

Review changes in monitored visibility and representation following content updates.

Make the recommendation worth understanding.

Help shoppers express what they need in natural language, compare suitable products, understand trade-offs, and move toward a more informed purchase.

Website AssistantGuided DiscoverySearchMessagingComparisonAlternativesHuman Handoff
Example request
“I need something sophisticated for an outdoor evening wedding. Nothing very sweet. Noticeable but controlled. Under $150.”
Recommendation

Strong fit for the requested occasion and budget, with a fragrance profile suited to the stated preferences.

Trade-off: Warmer than the shopper’s usual preference. Relevant alternatives remain available for comparison.

Illustrative recommendation.

Separate influence from measurable impact.

Connect available decision and transaction records to commerce outcomes, distinguishing journeys influenced by intelligent experiences from improvements established through valid comparisons.

Association

Influenced

Revenue associated with journeys where a Specicon-powered experience contributed to product discovery or evaluation. Association does not establish incremental impact.

Requires a valid experimental or comparative design

Incremental

An estimated difference in outcomes measured against an appropriate comparison group under an agreed evaluation method.

Integration

Commerce intelligence within your existing stack.

Connect relevant catalog data and application interfaces through supported integrations, structured APIs, or custom engineering.

ShopifyWooCommerceAdobe CommerceSalesforce CommerceCustom WebsitesREST APICSVDatabase
Simplified integration exampleJavaScript
const res = await fetch("https://api.specicon.com/v1/match", {
  method: "POST",
  headers: { Authorization: "Bearer $SPECICON_KEY" },
  body: JSON.stringify({
    user: "usr_48213",
    context: {
      occasion: "evening event",
      budget_max: 150,
      avoid: ["very sweet"]
    },
    candidates: 3
  })
});
Response
{
  "match": "option_104",
  "score": 0.91,
  "reason": "Fits the stated occasion, respects the budget and avoids heavy sweetness."
}

Make more of your product knowledge.