AI Product Discovery for Commerce Teams | Kubto
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Industry · Commerce

Commerce AI has to understand the catalog and the buying journey

Kubto connects search, recommendations, assistance, catalog workflows, platform integration, and infrastructure to the product data and business controls that shape a real storefront.

Who this is for

Ecommerce, merchandising, product, support, data, and engineering teams responsible for discovery, conversion, catalog operations, and platform reliability.

Problem to solve

Generic AI can produce attractive demonstrations while ignoring product eligibility, inventory, price, customer groups, locale, merchandising, attribution, and storefront performance.

Scope

Commerce workflows where technical and business rules meet

Product search and discovery

Query understanding, hybrid retrieval, attributes, facets, ranking, merchandising, inventory, analytics, and relevance evaluation.

Recommendations and navigation

Alternatives, similar products, bundles, cross-sells, category discovery, placement rules, exclusions, fallback, and attribution.

Product and support assistance

Grounded answers from approved catalog, policy, order, delivery, and support sources with permission, citation, and escalation.

Catalog operations

Enrichment, classification, quality review, exception handling, translation support, duplicate resolution, approvals, and audit.

Platform and data integration

Commerce platform, PIM, ERP, CRM, support, analytics, identity, warehouse, event, feed, and custom service connections.

Storefront and infrastructure

Rendering, APIs, caching, deployment, observability, failure handling, security boundaries, performance, and recovery.

Architecture

A commerce AI path from source of truth to customer action

  1. 01

    Catalog and rule layer

    Identify authoritative product, price, inventory, content, eligibility, customer, locale, campaign, and policy data.

  2. 02

    Intelligence layer

    Apply retrieval, ranking, recommendation, generation, or automation with business rules, permissions, fallbacks, and evaluation.

  3. 03

    Experience and workflow layer

    Integrate the capability with search, category, product, cart, support, admin, or operational journeys.

  4. 04

    Measurement and operations

    Track technical, relevance, behavior, commercial, content, incident, and cost signals with named owners and change control.

Deliverables

What the engagement can produce

Commerce data and journey map

Sources of truth, customer and staff journeys, business rules, integrations, failure points, owners, and measurable friction.

Use-case architecture

Data flow, retrieval or decision logic, platform interfaces, controls, experience, events, operations, and rollout.

Evaluation framework

Representative queries or tasks, catalog context, quality judgments, behavior events, business measures, guardrails, and attribution.

Release and operating plan

Cohorts, compatibility, monitoring, support, merchandising or content ownership, incidents, rollback, and improvement cadence.

Use-case selection

Prioritize friction that can be observed

Discovery friction

Zero or poor results, repeated reformulation, weak category navigation, low product engagement, and recurring query gaps.

Decision friction

Product comparison, compatibility, fit, policy, delivery, or availability questions that prevent a customer from acting.

Operational friction

Manual enrichment, classification, merchandising, support triage, integration reconciliation, or repetitive exception work.

Boundaries

Boundaries and decisions to verify

Good work is easier to trust when the team knows what is included, what still needs proof, and who owns each decision.

Revenue attribution requires control

Search, recommendation, and assistance outcomes are affected by inventory, price, campaigns, UX, traffic, seasonality, and concurrent changes.

Business rules remain authoritative

AI should not silently override eligibility, price, inventory, customer-group, legal, policy, or merchandising controls.

Platform details determine feasibility

Edition, version, hosting, extensions, custom code, APIs, traffic, and vendor contracts must be verified.

Bring the catalog constraint and customer journey

Kubto can help map sources, rules, platform interfaces, evaluation, and a bounded implementation or improvement path.

Discuss a commerce workflow