Confidential · SME Retailer
27% conversion lift and a 14-month delivery from kickoff to multi-market rollout.
A legacy commerce stack was blocking omnichannel growth and slowing experimentation.
Context, scope, and success criteria
The retailer was constrained by a commerce stack that made merchandising changes expensive, slowed marketing experiments, and forced the team to manage channel-specific exceptions in too many places. Every new market launch introduced more inconsistency into catalog, pricing, and fulfillment workflows.
- Launch a modular headless commerce foundation that could support future channels without another rewrite.
- Unify product, pricing, and inventory data across markets so campaigns could be launched consistently.
- Increase conversion through personalization, faster page delivery, and structured experimentation.
- Give merchandising and growth teams more control without adding engineering bottlenecks.
Why the work started
A legacy commerce stack was blocking omnichannel growth and slowing experimentation.
What we built
A headless commerce platform with a modern CMS, edge caching, and a unified product catalog.
Legacy versus modern flow
A tightly coupled commerce stack with market-specific exceptions, slow content updates, and manual coordination between inventory and storefronts.
A composable headless commerce layer with edge rendering, unified product catalog services, and structured experimentation for growth teams.
How the work was executed
Delivered a composable storefront with API-driven commerce services and edge-aware rendering paths.
Consolidated catalog, pricing, and inventory domains with governance rules that supported multi-market operation.
Introduced A/B experimentation, analytics tagging, and performance observability to support rapid iteration.
Built reusable launch templates to reduce the effort required for new-market rollout.
Controls and delivery rhythm
Weekly growth and platform reviews aligned product KPIs, release health, and market rollout readiness, with merchandising and engineering sharing a single launch checklist.
The client increased conversion, improved speed-to-market for campaigns and product launches, and reduced the coordination cost of adding new markets.
Results and next steps
27% conversion lift and a 14-month delivery from kickoff to multi-market rollout.
The roadmap now focuses on AI-assisted merchandising, demand-aware inventory allocation, and more advanced customer segmentation.
Have similar architecture bottlenecks?
We can map the same modernization pattern to your infrastructure, release process, and operating model.
Yesp Studio