The AI-native commerce systems integrator
Build and operate the AI-native commerce stack.
Commerce Solutions designs and operates the systems connecting discovery to revenue — storefront, merchandising, conversion, orders, fulfilment, and agents — on the platforms you already run, with commercial ownership after go-live.
Built for teams with a live catalog, a complex channel mix, and a next change that needs both commercial and technical input.
What we actually do
One stack to build, run, and improve.
Platform work, operating work, and the AI layer sit in the same plan — including after go-live.
Build the stack
Storefront, catalog, payments, integrations, and cutover — designed so the next release is not a six-month project.
See replatforming & migrationOperate the stack
Orders, fulfilment, merchandising cadence, and measurement with named owners — so volume does not mean more chaos.
See operations & automationMake it AI-native
Search, conversion, analytics, and agents on the workflows that move revenue and exceptions — not a chat widget bolted on.
See agentic commerceThe system
Discovery through agents, connected.
SuggestAPI is discovery intelligence. The commerce platform transacts. Commerce operations run orders, inventory, fulfilment, and customer. Convertmax is revenue intelligence. Agents decide and act. Commerce Solutions designs and operates the connections.
SuggestAPI
Discovery intelligence
What should the customer or agent find?
Commerce platform
Transaction
How does the customer buy?
Architecture and operations
Commerce operations
How do orders, inventory, fulfilment, and customer actually run?
Convertmax
Revenue intelligence
What created the customer and the revenue?
Agents
Decision and action
What should the business do next?
The AI-native layer
Intelligence on the workflows that move work.
Search and merchandising, CRO, analytics, and agents — against a baseline, on the stack you run today. Convertmax is revenue intelligence. CRO is a capability that can use it.
Search and merchandising
Site search and merchandising suggestions — including SuggestAPI when the stack includes it.
CRO and conversion testing
Experiments and journey optimisation — a Commerce Solutions capability that can use Convertmax when revenue intelligence is the measurement layer.
Marketing and ecommerce analytics
Measurement, attribution, and reporting the commercial case can actually use — including Convertmax when first-party revenue intelligence is the gap.
Agentic commerce
Agents for merchandising, support, and operations when the operating model supports them.
How we work
Assess, deliver, then keep operating.
We define the baseline and success measures before delivery. The first conversation is a working session on the stack you need to run — not a product demo.
Assess
Constraint map, baseline, risks, and open questions across the stack, journey, and operating workflow.
Prioritise
Ranked opportunity list, business case, delivery path, and success measures — what is worth changing first.
Deliver
Accountable workstreams across platform, conversion, integration, operations, and automation.
Validate
Results review against the agreed baseline, then the next decision.
Integrations and infrastructure
We work across the stack you already run.
Commerce platforms, search, conversion, marketing analytics, and fulfilment tools. The stack is the job. The brand on the box is not.
Commerce platforms
- Shopify
- BigCommerce
- Magento / Adobe
- Headless / custom
- Commerce Cloud Solutions
Discovery intelligence
- SuggestAPI
- Algolia
- Site search and merchandising
Revenue intelligence and ops
- Convertmax
- GA4 and analytics stacks
- OMS and 3PL
- Carriers and returns
How we work in practice
Evidence from commerce work.
Stop leaking demand into a catalog nobody can shop
Search and merchandising had owners and a baseline. Conversion tests could run against numbers leadership would use. A platform move stayed a later decision, not the engagement.
Read the outcome Orders & operationsScale order ops without scaling headcount
Repeatable exceptions left the inbox. Routing and status had a sequence and measures agreed before build. Headcount was no longer the scaling plan.
Read the outcome Orders & fulfilmentOne order truth across channels and warehouses
Channels shared one routing design. Oversells and double-handling had a model to attack. Returns and service used the same logic, and the next inventory or channel change could be measured.
Read the outcomeTalk about the stack you need to run.
Bring the storefront, growth, operations, or agent question that is blocking progress. In a 30-minute working session we will clarify the constraint, what we need to assess it, and the most useful next step.