Commerce built for every business model.
Launch digital commerce, manage end-to-end operations and expand across storefronts, channels, markets and customer segments from one unified AI commerce platform.
Launch digital commerce, manage end-to-end operations and expand across storefronts, channels, markets and customer segments from one unified AI commerce platform.
Launch a professional business website, manage customer relationships, automate sales and organize finance, operations and services through one connected business platform.
Bring intelligent assistance into commerce, sales, customer engagement, operations and decision-making with business-aware AI agents.
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Catalog Builder is SKARTIO’s specialized Agentic AI catalog-planning, catalog-building and continuous-improvement agent. Its single responsibility is to keep the business catalog commercially strong across its lifecycle—from product discovery and structure to enrichment, pricing, inventory, policies, launch, performance monitoring and recommended revisions.
Catalog Builder plans the assortment, structures the taxonomy, coordinates specialist agents, proposes pricing and stock logic, prepares commerce policies and validates launch readiness.
A commerce catalog connects product strategy, taxonomy, product information, media, price, inventory, channel rules and customer-facing policies. Catalog Builder reasons across those dimensions to produce one coherent catalog outcome instead of leaving a business to assemble dozens of disconnected setup tasks manually.
Catalog Builder can start with known products, help discover the right assortment, or design a large catalog across markets, channels and commercial policies.
Best for businesses with a known category or product list that need a clean commerce-ready catalog quickly.
Best for entrepreneurs, brands and retailers entering a category and needing product-planning intelligence before catalog creation.
Best for larger retailers, multi-region brands, marketplaces and sophisticated catalog-driven businesses.
Catalog Builder owns the catalog outcome and draws on specialist capabilities through A2A orchestration when a task requires deeper product-writing, media, pricing or inventory intelligence.
Translate business goals, customer profile, market, investment range and catalog size into an initial product and category plan.
Help identify relevant product opportunities, product information and category patterns for the target business context.
Create taxonomy, categories, attributes, variants, collections, bundles, relationships and catalog organization.
Create product records and coordinate Product Writer for titles, descriptions, specifications, SEO and catalog-content completeness.
Coordinate Content Creator for product images, lifestyle assets, feature visuals, product videos and launch creative requirements.
Recommend initial price bands, margin targets, promotional floors, region/channel price logic and catalog-level pricing policies.
Recommend initial quantities, priority stock, safety considerations, regional allocation and replenishment assumptions for launch.
Prepare and structure catalog-facing pricing, shipping, payment, return, product-availability and visibility policies for business review.
Identify hero categories, launch products, bundles, cross-sells, opening offers, collection ideas and initial campaign directions.
Check completeness, media, attributes, pricing, stock, policies, SEO, category fit and channel readiness before publication.
Monitor product completeness, category balance, content quality, availability, pricing position, conversion signals and catalog-level exceptions after launch.
Recommend when products, categories, assortment, content, media, pricing or policies should be revised, refreshed, retired or rebuilt based on catalog performance and business context.
After launch, Catalog Builder can continuously assess catalog quality and business signals, compare catalogs across channels or markets, explain weak areas and recommend targeted revisions instead of forcing periodic manual catalog rebuilds.
Track completeness, attribute quality, content freshness, media coverage, availability, pricing consistency and policy readiness across the active catalog.
Identify categories or products with weak assortment depth, poor conversion, missing content, weak media, frequent stock gaps, pricing friction or policy constraints.
Compare regional, storefront, reseller, supplier or channel catalogs to understand assortment gaps, price differences, content inconsistency and performance effects.
Recommend refresh, enrichment, repricing, reclassification, new bundles, product retirement, assortment expansion or targeted rebuilds based on evidence and business policy.
Catalog Builder can move beyond launch readiness into an ongoing operating cycle, coordinating specialist agents when deeper content, media, pricing or inventory improvements are required.
Catalog Builder should not apply one generic catalog recipe. It uses the commerce model as context so assortment, ownership, pricing, inventory, policy and channel structure fit the actual business.
Build customer-friendly assortments, category navigation, variants, price bands, promotions, inventory, shipping and returns for direct consumer purchase.
Prioritize brand storytelling, controlled assortment, hero products, launch collections, premium media, bundles and brand-consistent pricing/policy.
Structure catalogs across operator, seller/reseller and customer layers; support multi-seller assortment, seller-level availability, commissions and shared catalog governance.
Map Operator → Reseller → Supplier → Customer context, supplier-owned inventory, reseller assortment, source cost, fulfillment rules and supplier-dependent availability.
Build account-aware catalogs with MOQ, pack size, tier pricing, contract/customer visibility, quote-ready products and business purchasing policies.
Create a master catalog with market/channel derivatives that vary by assortment, currency, price, stock, availability, payment, shipping, return and campaign context.
The strongest use cases begin with a business outcome, not an AI feature. Catalog Builder progressively adds planning, orchestration and commercial intelligence as complexity increases.
A small retailer already knows it wants to sell electronics but has only basic supplier data.
An entrepreneur wants to enter electronics but is unsure which products should make up the first catalog.
A brand needs a catalog that tells a coherent story, not just a collection of SKUs.
A reseller has access to thousands of supplier SKUs but should not expose all of them to customers.
An operator needs a governed master product structure while multiple sellers contribute offers and availability.
A retailer is expanding from India into UAE and Saudi Arabia.
An existing store has duplicate products, missing attributes, inconsistent categories and weak product content.
A distributor needs different packs, MOQ, prices and visibility for different business customers.
SKARTIO uses A2A context and OPULENCE orchestration so Catalog Builder can delegate specialist work while retaining catalog-level responsibility, context and governance.
The business talks to Catalog Builder. Catalog Builder breaks the goal into specialist tasks, passes only relevant context, receives structured outcomes, reconciles them at catalog level and presents one final result for business review.
A2A passes the product, market, catalog and business context required for each task while every agent remains accountable for its own specialized responsibility.
OPULENCE can route tasks across approved internal model options and specialized configurations for reasoning, research, generation, localization and validation without exposing confidential model details.
Catalog Builder reconciles agent outputs against catalog policy, business rules, confidence, approval boundaries and readiness checks before proposing activation or ongoing catalog revisions.
The agent combines planning, A2A specialist collaboration, deterministic catalog rules, monitoring signals and business approvals so both catalog creation and ongoing improvement remain explainable and controlled.
Capture commerce model, target customer, market, category, budget, assortment size, suppliers, channels and commercial goals.
Design product mix, taxonomy, collections, product roles and market/channel assortment before creating records.
Research or ingest products, normalize product data and create categories, attributes, variants and relationships.
Use A2A to request product-writing, media, pricing, inventory or policy intelligence with the relevant catalog context.
Prepare pricing, margin, stock, shipping, payment, return, availability and visibility logic appropriate to the commerce model.
Check readiness, surface exceptions, obtain approvals and publish or hand over a launch-ready catalog and merchandising plan.
Track catalog health, weak areas, market/channel differences and commercial signals after launch.
Recommend targeted refresh, enrichment, repricing, assortment changes or rebuilds and coordinate specialist agents where needed.
Catalog Builder uses business context to decide how products should be represented, sold and governed instead of assuming the same structure works everywhere.
Catalog Builder can automate research, structuring, enrichment and validation, but strategic assortment, supplier commitments, material price/margin decisions and commercial policies can remain approval-controlled.
Plan assortment, recommend products, structure categories, identify gaps and prepare price, stock and policy proposals. Human executes or approves all changes.
Create products, enrich content/media, prepare catalog rules and bulk changes, then wait for category, pricing, inventory or business approval where configured.
Execute low-risk normalization, attribute completion, product linking, content requests, validation and approved catalog maintenance, health checks and low-risk refresh actions within predefined limits.
A business can enable Catalog Builder without handing every commerce decision to AI. Product selection, pricing, inventory, policy and publishing authority can each have separate thresholds, approval owners and operating modes.
Catalog Builder should retain the business brief, source information, agent handoffs, commercial rules, confidence, approvals and readiness evidence behind catalog decisions.
Distinguish supplier/source product facts, discovered information, generated enrichment and business-entered data.
Track which specialist agent produced product text, media guidance or other recommendations and what context was passed.
Validate catalog output against price, margin, stock, shipping, payment, return, visibility and approval rules.
Govern model routing, agent collaboration, quality/cost policy, fallback, confidence and model evolution through the SKARTIO AI Foundation.
You can begin with 20–50 known products, a supplier feed, a category idea or an existing poor-quality catalog. Catalog Builder can then progressively add planning, specialist orchestration and commercial intelligence.
Commerce model, market, customer, category, catalog size, budget, suppliers and launch objective.
Supplier sheets, existing catalog data, source product information and Commerce Cloud context.
Set approval boundaries for product selection, price, stock, policies, generated media and publication.
Track catalog completeness, quality exceptions, approval status, launch readiness, ongoing catalog health and improvement impact.
Work with a SKARTIO Commerce Cloud expert to define assortment, product sources, commerce model, pricing, inventory, policy and A2A specialist-agent requirements.
Share your catalog-building, migration or launch requirement.
From product discovery and specialist-agent collaboration to pricing, inventory, policies, launch readiness and continuous catalog improvement—manage the catalog as one governed business outcome.