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They launch close to schedule and land roughly in budget. Then the thing quietly never delivers what the business case promised, and nobody can point at the week it went wrong.
When we trace one of those back, the platform choice is rarely where it broke.
The team picked something reasonable. What nobody did first was map how the business actually runs.
How are products born? Who controls price? Where does the customer master live? Do orders arrive one at a time, or in batches of four hundred? Those answers change what you should build.
Commerce Studio exists to ask them first. We do that for commerce teams who are now being asked, usually in the same quarter, what their plan is for AI.
Replatforms, migrations and B2B programs across ten commerce platforms. Today we build on BigCommerce and Shopify.
Commerce, CMS, integration, PIM. Then we trace the journeys that cross them. You can't choose well between platforms until you can see which of your problems is a platform problem and which one follows you to whatever you buy next.
A few rails we use:
The best commerce solution is the one your team can launch, operate and improve today, not the one that looks best on a roadmap slide.
Buyers are starting to arrive through an agent rather than through your homepage, and an agent cannot infer what a human shopper forgives.
If it can't read you, it either skips you or gets you wrong:
If you can't say what a buying agent would see on your top fifty SKUs, you aren't ready to talk about agentic commerce yet.
Fix the foundation, or the intelligence layer just surfaces the mess faster.
Incomplete catalogs, inconsistent attributes, siloed customer data and manual reporting workflows quietly undermine:
Strong commerce outcomes start with data readiness. AI only becomes valuable once that foundation exists.
Agent-ready product data is the current name for a discipline that was already worth doing. Make the catalog machine-readable, make the customer record resolvable, then put agents on top of something they can actually read.
We work with commerce teams of roughly three to fifteen people. No dedicated platform architect. One or two systems that have to stay in sync with the storefront. That usually lands between $10M and $250M in revenue, though the headcount tells us more than the revenue does. A $200M distributor with four people on digital is a better fit here than a $40M brand with thirty engineers.
These teams:
If you're inside a global enterprise with a dedicated commerce platform team, we're probably the wrong fit. We'll tell you that on the first call rather than three weeks into a proposal.
You don't have to take our word for how we work.
All of it is free and public.
What's on this site:
Start with the Operability Diagnostic. Twelve dimensions, about fifteen minutes, and a tier with a next move at the end. If it tells you something you didn't already know about your own business, we should talk.