COMMERCE GROWTH & TRANSFORMATION
Protect business continuity while creating room for growth.
Legacy commerce modernisation replaces the constraints of an ageing commerce estate with more adaptable experiences and capabilities. Universal Commerce supports a phased approach that connects existing systems while introducing composable commerce, AI assistance and governed automation.
Discuss your commerce roadmapFROM BUSINESS NEED TO CUSTOMER VALUE
Identify the customer journeys, integrations and release dependencies that slow progress. Introduce new storefront or business capabilities where they create value, with a clear transition plan for the systems they replace.
Retain useful ERP, product, inventory and order systems while connecting them to the new experience. Define data ownership, synchronisation and exception handling so migration does not create competing versions of operational truth.
Add shopping assistance, catalogue intelligence and workflow automation where the required data and controls are ready. Measure progress through customer and operational outcomes rather than the number of systems replaced.
ILLUSTRATIVE WORKFLOW
An enterprise first connects its product, inventory and order data to a new storefront experience. Selected customers or categories move onto the new journey while the existing backend continues to serve agreed functions. After reconciliation, operational testing and a controlled cutover, further capabilities can move to the composable stack.
HOW UNIVERSAL COMMERCE SUPPORTS THE MODEL
Connect customer experiences to the capabilities, intelligence and data behind them. Select the components and deployment approach that fit your business.
Modernise web, mobile and assisted shopping experiences independently where integration boundaries permit, while maintaining the service context customers need.
Use Universal Composer to coordinate legacy APIs, new services and migration workflows. Apply routing, reconciliation and exception policies during the transition.
Select catalogue, search, CMS, checkout, payments and OMS capabilities from suitable MACH ecosystem platforms. Retain existing enterprise applications where they continue to serve the business.
Use Frontier and Sovereign AI models for guided shopping, knowledge retrieval and operational assistance according to data and deployment requirements. Introduce approval controls before automating consequential actions.
Bring existing and new product, customer, inventory and order records into a unified commerce data lake. Use a semantic mesh to align identifiers and business definitions across the transition.
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
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 |
|---|---|
| Customer experience | Conversion, checkout completion and service resolution |
| Delivery agility | Release lead time and integration change effort |
| Operational continuity | Order accuracy, reconciliation exceptions and availability |
| Economics | Cost to serve and ongoing platform operating costs |
Map the current estate, identify dependencies and choose a complete customer journey for the first phase. Agree data ownership, acceptance criteria, cutover and rollback steps before expanding the migration scope.
Use Composable Commerce for modular capabilities, Agentic Commerce for guided assistance and insights, and Autonomous Commerce for governed workflow execution.
PRACTICAL QUESTIONS
No. A phased approach can modernise an experience or capability while retaining existing systems behind integration boundaries. The practical sequence depends on the estate, available interfaces and business priorities.
Yes, where they meet the required operating needs and expose suitable integration interfaces. Ownership, synchronisation and error recovery must be defined between retained and new systems.
Start when the relevant product, customer or operational data is sufficiently dependable and access controls are in place. A focused assistant or workflow can be evaluated before expanding automation.
Timing depends on the systems, customisations, data quality and journeys in scope. Discovery should establish a phased plan and measurable acceptance criteria rather than assume one timetable fits every enterprise.
YOUR NEXT STEP
Bring your customer priorities, current systems and operating requirements. Let’s map the capabilities and integrations your next phase needs.
Discuss your commerce roadmap