Enterprise Intelligence Group
Retail Agent Coordination Review
Your AI agents may be optimizing different companies. A 45-minute working session maps one live retail decision and who decides when agents conflict.
RETAIL AGENT COORDINATION REVIEW
Are your AI agents optimizing the same business?
Your AI agents may be optimizing different companies. A 45-minute working session maps one live decision, the objectives pulling on it, and who decides when they conflict.
Locally correct, collectively wrong
Retailers are deploying capable agents inside individual functions. A merchandising agent may protect margin and assortment productivity. A replenishment agent may protect availability. A forecasting agent may protect accuracy. A finance agent may protect working capital. Store operations protect execution. Each agent can be locally correct while the enterprise produces the wrong outcome.
Each was given a task, a prompt and a local success measure, and each hits it. What none of them was given is the enterprise objective, the rule for which objective wins when two collide, and the judgment that lives in the heads of the people who used to make the decision.
When nobody has written that rule, the enterprise gets faster recommendations that do not add up. Shared data does not create shared intent. Agent interoperability is not agent alignment. A faster silo is still a silo.
THE RETAIL EXAMPLE
One launch, five agents, five right answers
An illustration constructed by EIG. Not a client, a deployment or an observed result.
A grocery retailer launches a private-label chilled range into an established branded category. Five functions touch the launch, and each has an agent.
Merchandising optimizes assortment productivity and cash margin. It recommends delisting a branded reference to give the new range its facings.
Forecasting optimizes accuracy. Its aggregate transfer estimate is sound. Its confidence on the few stores that will decide the launch is low, and it says so quietly.
Replenishment optimizes on-shelf availability. It raises cover across every cluster to protect trial.
Finance optimizes working capital. It reads the same forecast and recommends cutting the launch buy on a range with no proven rate of sale.
Store operations protects execution. The reset carries a labor requirement per store that nobody has costed or asked about.
The collision sits between replenishment and finance. Both read the same numbers. Both are right on the measure they were given. One wants four weeks of cover, the other wants two, and nothing in the business says how much working capital it will spend to protect availability during a launch, or who decides. The plan that ships is whichever agent ran last, spoke most confidently or had the shortest approval path. Nobody chose that. It has a timestamp.
What happens in the 45 minutes
You bring one live workflow involving merchandising, planning, supply chain, operations or commercial teams. EIG maps, in this order:
01The decision and its accountable owner.
One decision with a name against it, not a process, a program or a function.
02The enterprise objective it should support.
The outcome in one sentence, with what must not deteriorate while it is pursued.
03Functional and agent-level objectives.
What each team and each agent is currently optimizing, written side by side.
04Missing context, institutional judgment and historical knowledge.
What the decision needs that no system holds, and who holds it instead.
05Conflicts between functional objectives and the decision-precedence rules.
Where two objectives collide, which wins today, and whether that is written anywhere.
06Authority and escalation boundaries.
The level each decision is entitled to on EIG's five-level scale of agent authority (Retrieve, Prepare, Recommend, Act with approval, Bounded action), and the triggers that send it to a person. Authority is a property of the decision, not of the agent.
07The first evaluation set required before increasing agent authority.
The evidence that would justify moving any decision up a level.
How the session runs. You bring the workflow and the people who own it. EIG asks the questions and challenges the answers. The map is built live on a shared screen. You leave with it.
THE DELIVERABLE
What you receive
One page. It takes one of two forms, depending on what your workflow needs. An Agent Strategy Contract when one agent's role in the decision has to be written down. A Decision Coordination Map when the problem is how several functions and agents meet on one decision. Both carry the same fields:
- The decision, dated, with the named owner of the outcome and the named owner of the trade-off
- The enterprise objective in one sentence, and the results that must not deteriorate to reach it
- Each function's and each agent's current objective, side by side
- The missing context: what the decision needs that no system holds, and who holds it
- Each conflict, with the precedence rule that settles it, or the words "no rule exists"
- Authority per decision on the five-level scale (Retrieve, Prepare, Recommend, Act with approval, Bounded action), with the named approver and the stop condition
- Escalation triggers, each with a destination and a clock
- The first evaluation set: the evidence required before any authority level moves up
What a leader does with it on Monday. Send it to the functional owners named on it and ask each whether their row is wrong. Take the conflict marked "no rule exists" to the person who owns the trade-off and come back with a rule. Hold every agent at the authority level on the sheet until the evaluation set exists. Put the page, not a deck, in front of the next steering meeting.
One test tells you whether it is finished. Hand it to someone who was not in the session and ask what the business will refuse to do to hit the objective. If they can answer from the page alone, it is.
WHAT THE WORK LOOKS LIKE
One decision, worked all the way through
The section above describes what a review produces. This is what it looks like for a private-label launch: the map the session fills in, the record that holds the decision, and the checks the agent has to pass before it is trusted with more.
Illustrative
Decision Coordination Map
The one page a review produces, for one workflow: seven things written down before any agent on it is given more authority. Item five, where objectives collide and which wins, is the line that most often reads "no rule exists".
Decision record
One private-label range decision written through the record that keeps an agent honest: the decision, its owner, the objective, the missing context, the rule that settles a conflict and the measure that judges the outcome. Every name, item and week is invented to show the shape.
The checks that must pass before the agent on that decision earns a level of authority, each with the evidence required and the person who signs it. A level is earned and the price is stated in advance.
ILLUSTRATIVE DECISION RECORD
A private-label range decision
A grocery retailer is deciding whether to launch a mid-tier own-label pasta sauce into a category where it already ranges a value-tier own label and four national-brand lines. The retailer, the items, the people and every figure are invented to show what a complete record looks like.
- The decision
- Launch a mid-tier own-label pasta sauce, working name Kitchen Classics Tomato and Herb, into the ambient pasta sauce category at the March reset, replacing national-brand Variant D, in the two mainstream store clusters only. Or do not.
- Owner
- The category merchant for ambient grocery owns the decision and every hypothesis validation. The category director approves the launch and any departure from the pre-agreed exceptions. The commercial owner holds both supplier-term reads.
- Objective
- After 16 weeks, category margin per week in the two launch clusters is above the pre-reset baseline, with category units no worse than baseline minus the agreed reset-noise allowance, measured net of transfer. Focal-item units are recorded as explicitly not the success measure. Because the private-label strategy this year is a credible mid-tier, repeat purchase and the quality-complaint rate are tracked beside the financial result, and a margin-positive launch that fails on repeat is a strategic miss.
- What each function optimized
- Merchandising, category margin mix and tier credibility. Commercial, supplier funding, which is tied to the national brand’s total facings and not to Variant D alone. Supply chain, availability of the focal item and the exposed items. Insights, attribution quality, with observed switching over modeled similarity. Trade planning, the promotional calendar, still provisional for the exposed brands.
- The missing context
- Whether shoppers will read the item as mid-tier and not premium. Where its volume will come from, across own-label transfer, national-brand transfer, adjacency, expansion and channel switching. That the value-tier own label anchors the category entry price point and is protected, a recorded ruling and not an inference. None of it sits in a system. Each is a hypothesis with a named validator.
- The precedence rule
- Availability-adjusted sales beat raw sales. Observed switching in loyalty data beats modeled similarity. The two validated prior-launch records beat this launch’s own early weeks until the 16-week review replaces them. Supplier contractual terms beat any analytical recommendation they conflict with.
- Authority and escalation
- The agent may retrieve every source with precedence applied, build the source-of-volume scenario range, propose substitution and adjacency as hypotheses with confidence, monitor weekly against the prior-launch shape and flag divergence. It may not validate a hypothesis, recommend expansion, price moves or further delists before the review, or take any action on range, price, facings or supplier terms. A protected-tier or category-margin breach goes to the category director within one trading week. The reversal path, reinstating Variant D at the next feasible cycle, is written before launch with its lead time and cost.
- The evidence set
- Sales by item and store over two years, reset weeks flagged as noisy. Loyalty switching among category buyers, carded transactions only. The availability log, two known bad-data weeks excluded. The category promotional calendar. Both suppliers’ current terms. The decision records of the last two own-label launches in adjacent categories, each with a validated source-of-volume review.
- The outcome measure
- The 16-week review, scheduled at approval and owned by the category merchant: observed source of volume against the scenario range, forecast error and its direction, each hypothesis confirmed, rejected or revised, unexpected adjacencies in basket evidence, and what the two prior records got right and wrong as priors. Its validated conclusions become the third record the next launch’s agent retrieves.
Condensed from EIG's worked record for The Private Label Performance Agent, which stays the full version. Complete one of these for one live decision before writing any prompt. If three or more fields cannot be completed, that gap is the constraint on the agent.
ILLUSTRATIVE EVALUATION SET
Before this agent earns a level
The agent sits at Prepare on this decision. It assembles the evidence pack and the scenario range and proposes hypotheses. The move on the table is to Recommend on the expansion question after the 16-week review. Four checks, each signed by the person who owns the evidence, and all four in the record before the level moves.
01The scenario range held.
Evidence required: The review’s observed source-of-volume mix sits inside the range the agent published at approval, with the availability and promotional overlays applied and the two bad-data weeks excluded. A miss outside the range is an entry of its own, with the reason.
Signed off by: Insights lead, who owns the attribution method.
02Every hypothesis was settled by a person.
Evidence required: Each of the three choice hypotheses carries confirmed, rejected or revised, a validator’s name and a date. None moved to validated on the agent’s own reading, and no weekly flag leaned on one that was still open.
Signed off by: Category merchant.
03Precedence was followed where sources disagreed.
Evidence required: A sample of the weekly monitoring output, read aloud in the review, shows availability-adjusted sales used over raw sales and observed switching over modeled similarity, and no week in which a flag conflicted with either supplier’s terms.
Signed off by: Commercial owner.
04Every breach was flagged before a person found it.
Evidence required: Each reopen condition that occurred in the window, protected-tier transfer beyond tolerance, margin below baseline for four consecutive non-promotional weeks, or availability below the floor, was flagged inside the trading week and reached the category director. The review found no breach the agent had missed. On any week where an inferred attribute was carrying the answer, the agent produced nothing and named the missing evidence.
Signed off by: Category director.
All four pass at the review and the category director moves the expansion decision to Recommend, with its stop condition written the same day. Any one fails at the next quarterly read and the decision returns to Prepare. The same person moves it back.
If a workflow of your own looks like this, the direct route is to talk it through: bring it to a 45-minute Review, or read the extract first and write back with the decision you have in mind.
Merchandising and category leaders.
Chief Merchandising Officer, SVP or VP Merchandising, General Merchandise Managers, Category Directors, Heads of Trading.
Demand planning and supply-chain executives.
Chief Supply Chain Officer, VP Demand Planning, VP Inventory or Replenishment, Heads of S&OP and Allocation.
CPG revenue-growth and trade leaders.
Chief Revenue Officer, VP Revenue Growth Management, VP Trade or Customer Development, Heads of Category Management.
CIO, CDO and AI transformation teams.
Chief Information Officer, Chief Data Officer, Chief AI Officer, Heads of AI Transformation, Decision Science and Enterprise Architecture.
COO and CFO stakeholders.
The people who own the execution and working-capital consequences of whatever the agents recommend.
Who it is not for. Teams evaluating agent platforms, looking for a general AI roadmap, or without one decision they can name that crosses two functions.
Enterprise Intelligence Group works forward-deployed: inside the range review, the S&OP cycle and the trading call, not in a workshop away from them. That is where operational judgment, exceptions and the reasons behind past decisions surface, and it is the material enterprise data does not hold. EIG captures it, structures it and writes the precedence, authority and escalation rules that let agents use it within governed limits.
The founder brings extensive enterprise software implementation and programme delivery experience in retail and CPG, on both the retailer side and the vendor side of the decisions this review maps. EIG does not sell an agent platform and is not a general AI consultancy. It owns one problem: Retail Agent Coordination.
The Review is where the Retail AI Operating Model is applied to one live workflow.
Bring one decision
Book the 45-minute Retail Agent Coordination Review. Come with the workflow, the people who own it and the measure each team is judged on. You leave with the map whatever you decide to do next.
Pick a slot. Reply to the confirmation with one line on the workflow you plan to bring, so the 45 minutes start on it.
Read the argument first
If you want the reasoning before the session, the extract sets out the thesis, the illustration and the five levels of agent authority, drawn from EIG's operator brief and coordination playbook. It is available on this page as soon as the form is sent. No automated sequence follows.
Which platforms does this work with?
Any. The review maps decisions, objectives, precedence and authority, and those sit above whatever platform runs the agents. Agents built in-house, delivered inside a planning or ERP suite, or assembled on a general model provider all fit. Nothing in the session requires access to a system or a change to one.
What data do we need to have ready?
None to send. Bring knowledge, not extracts: the decision, who owns it, the measure each team is judged on, which agents or systems touch it, and one recent occasion when the recommendations disagreed. No system access, no data pull, no slides.
Is the session confidential?
Yes. The workflow, the names and the map stay with you. EIG does not publish, reference or reuse anything from a review, and the illustration on this page is constructed, not drawn from a session. If your policy requires a mutual NDA first, say so when you book and it is handled before the session.
Do we need existing agents to benefit?
No. The map is of the decision, not the technology. If you have no agents yet, it becomes the specification you would write before building one, and it shows where a single-function agent is enough. If you have several, it shows whether they are pulling in the same direction.
How long before we see a result?
The map is the result, and it is complete when the session ends. The first change it points to is likely a written precedence rule or an escalation path with a name on it, which your team can put in place the same week. Nothing more is promised, because nothing more is earned in 45 minutes.
Is this a sales pitch?
No. It is 45 minutes of work on your decision, with no platform, no roadmap and no proposal in the room. If the map raises a question EIG can help with, we say so in one sentence at the end, and you decide whether to have that conversation.
RETAIL INTELLIGENCE NOTES
One operator-level analysis of AI in retail decisions each week. It reaches the people who receive it, which is rarer than it sounds.
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