commercetools gives you the engine. We build what surrounds it, run it, and tune it to convert.
We implement commercetools, run it as a managed service, and optimize it for conversion — covering the storefront, catalog, integrations and operating discipline that decide what the platform returns.
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The platform ships infrastructure on purpose — the return lives in the assembly around it.
Composable commerce moves a set of decisions from the vendor to you. Monolithic suites make most of them on your behalf, which is what makes them quick to stand up and slow to change. That trade is exactly why teams choose commercetools — and it means the licence is the smaller part of total cost of ownership.
What commercetools gives you
- Commerce APIs for carts, orders, pricing, promotions and inventory
- A product catalog and data model you define rather than inherit
- Merchant Center for the teams who run the business day to day
- Versionless, cloud-native infrastructure across multiple regions
- Enterprise compliance, uptime and scale as a platform baseline
commercetools reports 550+ enterprise customers, and has been a Gartner Magic Quadrant Leader for Digital Commerce six years running.
What determines whether it earns its keep
- The storefront — what shoppers actually see and how fast it renders
- How the catalog and pricing are modeled, and who governs them
- Every integration to ERP, OMS, PIM, payments, tax and fulfillment
- The operating rhythm — releases, incidents, merchandising, cost
- Whether your products are legible to AI agents and answer engines
Those five are our scope — and where composable programs tend to compound or stall.
Five layers around the core — and three ways we work on each.
The practice in one view. The five layers are what a commercetools estate is made of; the three modes are how we engage on each. Most clients start with one layer in one mode and widen from there.
The core itself — the commerce APIs, the Merchant Center, the infrastructure — is commercetools’ job, and they do it well. All five layers above are ours.
We work the platform as it is today — not its 2021 shape.
commercetools has moved quickly: the platform is now Sphere, with an agent layer beside it and AI channels treated as a first-class storefront. We keep the practice current with that surface, so the options we put on the table reflect what the platform can do now rather than what it could do a few releases ago.
Core commerce
The engine and the model beneath it
- Sphere platform architecture
- Core Commerce — cart, order, checkout
- Product Catalog and data modeling
- Carts, orders, quotes and approvals
- Pricing, promotions and discounts
- B2C, B2B commerce and hybrid B2X models
Experience & channels
Where customers and buyers meet you
- commercetools Frontend
- Custom Next.js and headless storefronts
- Checkout configuration and payments
- InStore — POS and unified commerce
- Mobile and app surfaces
- Merchant Center for business teams
Integration & data
The systems commerce depends on
- Connect connectors and custom services
- ERP, OMS, PIM and fulfillment
- Search and product discovery
- Event streams and subscriptions
- Analytics, warehouse and BI
- Observability and cost governance
AI & agentic
The newest layer, and the fastest moving
- AI Hub — ChatGPT, Gemini, Copilot
- AgenticLift on an existing stack
- AgentSphere and MosAIc orchestration
- Agentic commerce protocols (MCP, ACP)
- Answer-engine optimization
- AI-assisted delivery in how we build
Implementations and replatforms — phased, not big bang.
A commercetools implementation is rarely a blank page. Most of our build work is a commercetools migration, so we treat replatforming as a sequence of reversible steps.
The risk in commercetools replatforming is rarely the new platform. It is the estate you are leaving: an SAP Hybris migration forced by the close of mainstream maintenance, a Salesforce Commerce Cloud renewal that prompts a rethink, or a homegrown system whose business logic lives in people’s heads.
So we start with inventory rather than architecture, then move capability by capability — the current platform stays authoritative for everything not yet cut over, with a tested rollback behind each phase.
There is no single night when the whole estate changes hands.
Measured across our implementation and migration engagements — more outcomes on our homepage.
Discovery before design
Customizations, integrations, URLs and redirects inventoried and classified before anything is built.
Strangler-pattern migration
Capabilities move one at a time behind a tested rollback — and stopping partway is a legitimate destination, not an abandoned project.
Data and search continuity
Catalog reconciliation and redirect mapping treated as first-class workstreams, not cutover chores.
Greenfield and new models
New B2B buyer portals, D2C brands and hybrid B2X models built on the current platform surface.
Managed services for a composable estate — where the seams actually are.
Our commercetools managed services cover the estate around the platform — the connectors, the storefront and the services you own.
commercetools is versionless, so the platform never hands you an upgrade project. The estate around it does: connectors, front-end frameworks and payment SDKs all keep moving, and left alone that drift accumulates quietly until something fails at peak.
The harder problem is ownership. When an order fails somewhere between the storefront, a connector, the OMS and the payment provider, a composable estate can leave several parties each reasonably certain it is not theirs.
We take the incident, not the boundary.
Measured across our managed services engagements — more outcomes on our homepage.
One owner across vendors
A named Pod Leader accountable for the outcome end to end, including the parts that cross a boundary.
Dependency and drift management
Connector, framework and SDK upgrades handled on a cadence instead of in an emergency.
Release and environment discipline
Deployment, rollback and environment hygiene so shipping stays routine at peak.
Usage and cost governance
Usage-based pricing rewards teams who know their call patterns — inefficient integration design shows up on the invoice first.
Composable makes checkout independently testable — so we test it.
Conversion rate optimization on commercetools is a different exercise than on a suite, because the highest-value steps in the funnel can be changed on their own schedule.
Because checkout, catalog and search are discrete services rather than a coupled release, you can run a real experiment on the step that matters most without waiting for a platform release.
So the work goes where the money leaks — the stretch between a full cart and a completed order. Pricing and promotion mismatches, shipping and tax surprises, payment coverage, and latency arriving at exactly the wrong moment.
The other half is upstream. Whether an answer engine recommends you is decided by your product data, not by your commerce platform — and our engineering, go-to-market and AI teams are the same team.
On a coupled platform that test waits for the next release train. Here it fits in a sprint.
Measured across our conversion rate optimization engagements — more outcomes on our homepage.
Checkout experimentation
Testing the highest-value step in the funnel without waiting on a platform release.
Search and merchandising relevance
Discovery tuned on the catalog itself, measured against revenue rather than clicks.
Answer-engine optimization
Product data structured so AI channels can understand, recommend and transact it.
Analytics that close the loop
Instrumentation and reporting that make an experiment’s result unambiguous.
One senior pod that builds, runs and optimizes.
These three are often split across separate contracts, which leaves the seams between them for you to manage. We keep them in one team, because the decisions made during the build determine what it costs to run and how much room there is to optimize.
A named Pod Leader
One person accountable for what ships, including the parts that cross a vendor boundary.
Cross-functional by design
Storefront, platform, integration, data and conversion specialists on one team, so the seams are covered rather than negotiated.
Staffed to each sprint’s goals
A dedicated pod whose utilization flexes with what each sprint demands, planned two sprints ahead.
Engagement models that flex
Cross-functional pods, skill augmentation, monthly retainers or blocks of hours — reshaped as the work changes.
Senior people, within reach
A global delivery model keeps experienced engineers on the work, so the depth is there when a decision needs it.
Built to hand back
We document as we go and enable your team, so you own what we build and are not dependent on us to run it.
Delivery you can hold us to.
What disciplined execution produces, measured across our active managed services and conversion rate optimization engagements.
The delivery framework behind these numbers is on How We Deliver.
A holistic digital partner — with deep commercetools expertise at its core.
We are a services organization built around digital and customer experience: platform engineering at the core, go-to-market on top of it, and AI activation through both. Teams tend to look for a commercetools partner at one of three moments — choosing the platform, moving onto it, or trying to get more from it — and the practice is shaped by what the platform leaves to you at each.
Three pillars, one team
Digital experience engineering, go-to-market and AI & agentic activation sit in the same practice. On commercetools that matters more than usual: the catalog work that improves conversion is the same work that decides whether an AI channel can recommend you.
We hold your objectives as our own
Consultants who speak both engineering and business, tying platform decisions to what the company is trying to do — revenue, margin, time to market — rather than to what the ticket says.
Deep in commerce, aware of the ecosystem
commercetools is rarely the whole picture. We engineer it with awareness of the ERP and OMS, the analytics and CRM, and the marketing stack it depends on, so the pieces fit the way your business runs.
Perspectives from our active engagements are published in our thought leadership, and the way we staff and run engagements is set out on About us.
A pro-bono commercetools readiness read.
We run our Digital Health Assessment against your storefront and send back a prioritized read. It works from publicly discoverable signals, so we need nothing from your team to start.
- How the storefront performs against Core Web Vitals, and what that costs in conversion
- Where catalog and product-data gaps limit search, feeds and AI channel recall
- Which checkout and integration steps carry the most latency or failure risk
- Severity-tagged findings ranked in priority order, not a list of everything we noticed
Thanks — we’ll send your read shortly.
Weighing commercetools, mid-build, or live and wanting more from it?
The conversation is the same one wherever you are: what surrounds the platform today, what it is costing you to run, and where the next increment of value is. Tell us which of those is most on your mind and we will come prepared.
sales@cxontology.com →