Most integration problems are architecture decisions that nobody made. The ERP and the ecommerce platform both think they own the price. Stock is updated in three places. Customer records are created twice and merged by hand. Each new tool adds another connection and another place for data to drift.
Systems architecture work answers one question for each type of data. Which system is the source of truth, and which systems only receive a copy? Once that is agreed, integration becomes a build task instead of a running argument between teams and vendors.
What we map
- Products and pricing. Where product data is created and enriched, where prices and price lists live, and how they reach each channel.
- Inventory. Which system holds available stock, how often it syncs and what happens when channels compete for the same units.
- Orders. The path an order takes from checkout through order management, fulfilment, invoicing and returns.
- Customers. Where accounts, B2B companies, consent and loyalty data live, and how marketing tools receive them.
- Content. What belongs in the commerce platform and what belongs in a CMS or PIM.
How the work runs
We interview the people who use each system every day, not only the people who bought it. We trace real orders, product updates and returns through your stack to see what actually happens, which is often different from what the diagram on the wiki says.
From there we document the current state, mark where data is duplicated or overwritten, and propose a target state with a clear owner for every data type. The output is practical. You get architecture diagrams, a data ownership matrix, an integration pattern for each flow and a sequence for getting there that respects what you can realistically change this year.
Why do it first
Architecture decisions are cheap on paper and expensive in code. Settling them before a replatform, an ERP project or a headless build saves rework and gives every vendor the same brief. It also prepares you for automation and AI agents later, since both depend on clean, predictable data with one owner.
For brands with $10 million to $350 million in annual revenue that sell through omnichannel direct-to-consumer, B2B and retail, this is usually the difference between a stack that grows with the business and one that needs a person to hold it together.
Architecture is the first step in our composable and headless commerce service. It leads naturally into ERP integration, data pipelines and integration or tech stack consolidation.
