Product search and discovery
Query understanding, hybrid retrieval, attributes, facets, ranking, merchandising, inventory, analytics, and relevance evaluation.
Industry · Commerce
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
Query understanding, hybrid retrieval, attributes, facets, ranking, merchandising, inventory, analytics, and relevance evaluation.
Alternatives, similar products, bundles, cross-sells, category discovery, placement rules, exclusions, fallback, and attribution.
Grounded answers from approved catalog, policy, order, delivery, and support sources with permission, citation, and escalation.
Enrichment, classification, quality review, exception handling, translation support, duplicate resolution, approvals, and audit.
Commerce platform, PIM, ERP, CRM, support, analytics, identity, warehouse, event, feed, and custom service connections.
Rendering, APIs, caching, deployment, observability, failure handling, security boundaries, performance, and recovery.
Architecture
Identify authoritative product, price, inventory, content, eligibility, customer, locale, campaign, and policy data.
Apply retrieval, ranking, recommendation, generation, or automation with business rules, permissions, fallbacks, and evaluation.
Integrate the capability with search, category, product, cart, support, admin, or operational journeys.
Track technical, relevance, behavior, commercial, content, incident, and cost signals with named owners and change control.
Deliverables
Sources of truth, customer and staff journeys, business rules, integrations, failure points, owners, and measurable friction.
Data flow, retrieval or decision logic, platform interfaces, controls, experience, events, operations, and rollout.
Representative queries or tasks, catalog context, quality judgments, behavior events, business measures, guardrails, and attribution.
Cohorts, compatibility, monitoring, support, merchandising or content ownership, incidents, rollback, and improvement cadence.
Use-case selection
Zero or poor results, repeated reformulation, weak category navigation, low product engagement, and recurring query gaps.
Product comparison, compatibility, fit, policy, delivery, or availability questions that prevent a customer from acting.
Manual enrichment, classification, merchandising, support triage, integration reconciliation, or repetitive exception work.
Boundaries
Good work is easier to trust when the team knows what is included, what still needs proof, and who owns each decision.
Search, recommendation, and assistance outcomes are affected by inventory, price, campaigns, UX, traffic, seasonality, and concurrent changes.
AI should not silently override eligibility, price, inventory, customer-group, legal, policy, or merchandising controls.
Edition, version, hosting, extensions, custom code, APIs, traffic, and vendor contracts must be verified.
Kubto can help map sources, rules, platform interfaces, evaluation, and a bounded implementation or improvement path.
Discuss a commerce workflow