Guide product discovery
Connect attributes such as size, colour, material and intended use to search and AI shopping assistants. Support relevant comparisons and approved product guidance across web, mobile and conversational experiences.
INDUSTRY SOLUTIONS
Connect retail journeys from discovery to repeat purchase.
Make products easier to discover and buying journeys easier to complete.
Retail and fashion commerce connects product discovery, buying and service across storefronts, stores and digital conversations. Universal Commerce helps brands and retailers coordinate assortment, availability and customer context through composable capabilities, AI assistance and governed workflows.
Discuss your commerce roadmapFROM BUSINESS NEED TO CUSTOMER VALUE
What retail & fashion can unlock.
Connect stores and digital channels
Bring inventory, order and customer context into click-and-collect, ship-from-store and service journeys. Define stock freshness and reservation rules before promising availability.
Reduce routine operational effort
Coordinate catalogue updates, order routing and returns within agreed policies. Give teams the context to handle exceptions while evaluating conversion, margin and cost to serve together.
ILLUSTRATIVE WORKFLOW
How the journey comes together.
A shopper compares a product's variants with an AI assistant, sees available fulfilment options and chooses store collection. The connected workflow reserves inventory and gives the store a fulfilment task. The same order record supports collection, service and eligible returns.
HOW UNIVERSAL COMMERCE SUPPORTS THE MODEL
Five layers.
One connected operating model.
Connect customer experiences to the capabilities, intelligence and data behind them. Select the components and deployment approach that fit your business.
- 01
Total Experience
Connect web, mobile, social, store-associate tools and AI Concierge experiences around product and customer context.
- 02
AI-Native Composition & Orchestration
Coordinate availability checks, promotions, orders, fulfilment and returns with business rules and exception handling.
- 03
Packaged Business Capabilities (PBCs)
Compose PIM, CMS, search, cart, payments, loyalty, OMS and POS integrations from suitable MACH ecosystem platforms and existing systems.
- 04
Intelligence: Frontier & Sovereign AI
Use Frontier and Sovereign AI models for shopping assistance, merchandising support and insight generation with approved sources and access controls.
- 05
Data Fabric: Unified Commerce Data Lake & Semantic Mesh
Connect customer, product, variant, inventory and order events in a unified commerce data lake. The semantic mesh aligns channel records for consistent retail insights.
Capabilities to compose
- Variant catalogue & PIM
- Search & merchandising
- Storefront & POS integrations
- OMS & inventory
- Loyalty
- Returns
Capabilities are assembled from the selected platforms and integrations. Scope, licensing, data readiness and existing-system compatibility are confirmed during solution design.
Explore the complete architecture →MEASURE THE BUSINESS IMPACT
Define success before you scale.
Agree a baseline, data source and owner for each measure. Compare results over time and across appropriate customer or operational cohorts.
| Business priority | Measures to track |
|---|---|
| Engagement | Search success and assisted product discovery |
| Revenue | Conversion, average order value and margin |
| Fulfilment | Collection readiness and availability-related cancellations |
| Relationships | Repeat purchase and return turnaround |
Start with a complete, focused journey.
Begin with one brand, channel or fulfilment journey. Validate product and inventory data, define service ownership and compare results against an agreed baseline before expanding.
Use Composable Commerce for modular capabilities, Agentic Commerce for guided assistance and insights, and Autonomous Commerce for governed workflow execution.
PRACTICAL QUESTIONS
Retail & Fashion FAQs
Can stores and ecommerce share an order journey?
Yes, with appropriate OMS, inventory and point-of-sale integrations. Reservation, fulfilment and returns rules need to reflect actual store operations.
How does AI shopping assistance support fashion?
It can explain approved product attributes and help compare variants or collections. Guidance depends on the quality of catalogue information and should escalate questions it cannot reliably resolve.
How is retail XCaaS pricing scoped?
The engagement considers business outcomes, brands, channels, markets, catalogue and transaction scale, fulfilment integrations and the AI capabilities selected.
YOUR NEXT STEP
Build your industry commerce roadmap.
Bring your customer priorities, current systems and operating requirements. Let’s map the capabilities and integrations your next phase needs.
Discuss your commerce roadmap