Give commerce teams one AI workspace grounded in your catalog, inventory, orders, customer history and operating knowledge.
shared source of context across product, support, sales and operations.
access to governed product and order knowledge for teams and customers.
answer traceable to current catalog, policy and customer context.
customer content used to train external shared models without written authorization.
Illustrative scenario data. Figures shown are product examples, not measured customer results or industry benchmarks.
Product truth is scattered across channels and systems.
Specifications, pricing, availability and policies change independently across storefront, ERP and PIM tools.
Metomorph retrieves current approved product context from connected sources before every answer or action.
Support agents spend too long reconstructing each order.
Order status, customer history, shipping events and policies live in separate screens.
One workspace assembles the order timeline, applicable policy and next best resolution with source links.
Sales teams miss the full account context.
Quotes, orders, conversations and product interests are divided between CRM and commerce platforms.
AI creates a live account brief with buying history, open issues, opportunities and recommended follow-up.
Catalog and merchandising work does not scale cleanly.
Teams manually rewrite descriptions, normalize attributes and check channel requirements item by item.
Reviewable workflows enrich product data and prepare channel-ready content from approved source records.
Agents switch across tools to answer routine order and policy questions.
AI combines customer, order, fulfillment and policy context in one response.
Faster resolutions with consistent, reviewable answers.
Incomplete attributes and inconsistent descriptions delay product launches.
AI enriches records, flags missing fields and drafts channel-specific content.
Cleaner catalogs and faster publishing with human approval.
Representatives prepare for conversations from fragmented order and CRM data.
AI assembles account history, purchasing patterns, service issues and opportunities.
More relevant outreach and better-prepared account teams.
Delays, shortages and returns require manual investigation and coordination.
AI traces the exception, checks policy and routes the recommended action to the right owner.
Quicker recovery and clearer customer communication.
Give support, sales and operations one governed place to ask questions.
Explore →Automate reviewable catalog, order and service processes end to end.
Explore →Connect and prepare product, customer and operational data for AI.
Explore →Keep models, access and automation reliable as commerce changes.
Explore →Improve source quality so every commerce answer starts from trusted data.
Explore →Yes. Connections can be scoped to approved storefront, ERP, PIM, CRM, support and fulfillment systems while respecting their existing permissions.
Answers retrieve context from the connected sources your organization designates, can cite those sources and can follow approval rules for customer-facing use.
Yes. Customer-defined roles and source permissions can restrict account-specific pricing, agreements and purchasing information to authorized users and workflows.
Your organization defines when a workflow may act automatically and when it must pause for human review, approval or escalation.
Customer content is not used to train generalized or shared AI models unless the customer expressly authorizes that use in writing.
Catalogs, inventory, orders, support and account history — connected in one governed AI workspace.