Business change
AI Commerce Transformation
AI Commerce Transformation aligns business process, data, systems and AI around measurable commerce operations outcomes. It is the engagement for companies where the constraint is not a missing tool but the way work, information and decisions are currently arranged.
When this is the right engagement
Some problems do not have a software answer. The channel is profitable on paper and not in practice; two teams both believe they own the same decision; the number everyone plans against is assembled by hand each month by one person.
Buying a system on top of that arrangement usually preserves it. This engagement works on the arrangement itself, and treats the software question as downstream of it.
How it runs
- 01
Establish the outcome
Agree what would actually be different, in operational terms someone can check.
- 02
Map process and decisions
Follow the real path work takes, including the parts that live in email and spreadsheets.
- 03
Fix the information
Make the numbers people plan against traceable to a source, and consistent between teams.
- 04
Introduce AI where it holds
Apply AI to the steps where it improves the outcome, under approval and with a record.
What it is not
It is not a strategy deck, and it is not an AI readiness score. The measure is whether the agreed operational outcome changed.
It is also not a prerequisite for using mPorts software, and mPorts software is not a prerequisite for it.
Questions buyers ask
- How is this different from AI Forward Deployed Engineering?
- FDE builds and runs the workflow. This engagement works on the process, information and decision rights the workflow will sit inside. They are often sequential, and either can be the right starting point.
- Do you need access to our systems?
- Usually, eventually — because the information problem is normally where the outcome is stuck. What access is needed is agreed as part of scoping.