Enterprise Intelligence Group
Decision Mapping for Retail AI: How to Capture the Logic Behind Commercial Decisions
Decision Intelligence treats decisions, not processes or data, as the unit of organizational knowledge: who decides, on what evidence, with what exceptions, and why, so AI can support them.
Definition · Decision Intelligence
Decision Intelligence is the discipline of treating decisions, not processes or data, as the unit of organizational knowledge: documenting who decides, on what evidence, with what exceptions, and why, so that decision quality can be preserved, improved and supported by AI.
It shifts the question from "what does the process say?" to "how is this decision actually made?"
Why decisions instead of processes?
Process documentation describes a sequence of activities. A decision map adds the evidence, criteria, exceptions and authority used at a decision point: range or delist, promote or hold, adjust the forecast or retain it. Compare both with actual practice. Where the written process already captures the reasoning, reuse it rather than documenting the same information twice.
What does a decision map contain?
For each significant decision: the decision owner; the trigger; the information actually consulted (as opposed to the reports merely produced); the rules and their exceptions; how disagreements are resolved; where the outcome is recorded; and the business result it drives. A set of these for a commercial area (ranging, promotions, pricing, replenishment) becomes an asset new joiners and AI systems can both use.
How does Decision Intelligence connect to AI?
A decision map can help define the context an AI assistant needs: permitted evidence, relevant rules, exceptions and human authority. Use it to specify what the assistant may retrieve or propose and how its output will be checked. A documented decision is not automatically suitable for automation; consider data quality, permissions, consequences and the review needed before any action.
How do you start?
Choose one decision area and document its inputs, participants, criteria, exceptions and review points. Use observation, interviews and representative records to compare the documented process with actual practice. Validate the map with the people responsible before deciding whether process changes, data improvements or AI support are appropriate.
Frequently asked questions
Is Decision Intelligence a software category?
Analysts sometimes use the label for decision-support platforms. As practiced here it is a management discipline first. Software helps only after the decisions themselves are understood.
How many decisions should we map?
Start with the decisions needed for the agreed business question. Define the scope with the accountable owners, then add detail where dependencies, exceptions or risk require it. There is no standard number that guarantees coverage or value.
- What is Retail Intelligence?
- What we actually do in your business
- Turn a decision map into business requirements
The EIG Library · Insights · AI Maturity Assessment · Contact