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Case study
RetailCustom SoftwareGCP

Confidential · SME Retailer

27% conversion lift and a 14-month delivery from kickoff to multi-market rollout.

Engagement at a glance
Timeline
14 months
Team
1 architect · 3 engineers · 1 designer
Industry
Retail
ROI
Strong incremental GMV in year two.
Engagement summary

A legacy commerce stack was blocking omnichannel growth and slowing experimentation.

Engagement overview

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.

Project snapshot
Timeline
14 months
Team
1 architect · 3 engineers · 1 designer
Industry
Retail
Primary stack
GCP cloud native
Objectives
  • 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.
Challenge

Why the work started

A legacy commerce stack was blocking omnichannel growth and slowing experimentation.

Solution

What we built

A headless commerce platform with a modern CMS, edge caching, and a unified product catalog.

27%
Conversion lift
14 mo
Delivery
3
Markets launched
Architecture

Legacy versus modern flow

Platform structure
Legacy state

A tightly coupled commerce stack with market-specific exceptions, slow content updates, and manual coordination between inventory and storefronts.

Modern stack

A composable headless commerce layer with edge rendering, unified product catalog services, and structured experimentation for growth teams.

Delivery

How the work was executed

01

Delivered a composable storefront with API-driven commerce services and edge-aware rendering paths.

02

Consolidated catalog, pricing, and inventory domains with governance rules that supported multi-market operation.

03

Introduced A/B experimentation, analytics tagging, and performance observability to support rapid iteration.

04

Built reusable launch templates to reduce the effort required for new-market rollout.

Governance

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.

Outcome

Results and next steps

Business outcome
Strong incremental GMV in year two.

27% conversion lift and a 14-month delivery from kickoff to multi-market rollout.

Next phase

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.