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Proof of concept · Retail · Supply Chain

Retail Control Plane: Demand Sensing and Chase Rebuy

Senses demand exceptions on a style or SKU, nets the network position and recommends a chase or pullback for planner approval.

Video and presentation

Retail Control Plane POC walkthrough4:08

In the video

Key moments in the recording.

  1. 0:03

    Sense, decide, approve, execute, fulfil

    A walkthrough of the chase and rebuy agent on the Retail Control Plane, in five steps.

  2. 0:14

    What runs underneath

    Six governed skills. Demand sensing pulls seven signals together and returns one deterministic response.

  3. 0:35

    Rules, not tokens

    The chase decision is plain rules, with no language model tokens spent on it. Every tool is registered on a governed MCP server with routing rules the model cannot override.

  4. 0:51

    One governed gateway

    A single gateway fronts eight systems of record, including Shopify and Salesforce, so nothing is duplicated and nothing is bypassed.

  5. 1:07

    Turn 1: demand for a SKU

    The planner asks a plain question. The agent returns the forecast: 96 units a week at 82% confidence, healthy trailing sell-through and seasonality running hot.

  6. 1:32

    Turn 2: the network position

    The agent nets store, online and DC stock, on-order and backorder against demand to get true weeks of supply, and recommends a chase of 337 units with its reasoning shown in full.

  7. 2:10

    Turn 3: the approval gate

    The agent shows the action, SKU, quantity and urgency, then stops. Nothing executes until a person says yes.

  8. 2:43

    Turn 4: the fulfilment plan

    Once approved, it recommends where to source from: a New York fulfilment centre with same-day courier and no split shipment.

  9. 3:10

    Turn 5: execute and log

    The order is routed to that centre, and the action is logged, time-stamped and tied to the recommendation the planner approved.

Overview

The problem, and what the POC does.

The problem

A demand swing costs retailers margin both ways: stockouts on the styles customers want, or overstock and markdowns in the wrong locations. The decision window is short and the data sits in separate systems.

What the POC does

Six governed skills run on an MCP server on Workato, behind one gateway to eight systems of record including Shopify and Salesforce. Demand sensing combines seven signals into one deterministic response. The agent nets store, online, DC, on-order and backorder stock against demand and calculates the chase quantity in plain rules, with no language model in the calculation. Copilot Studio explains the result to the planner, and every write waits for planner approval.

Outcomes

What it is built to improve.

  • The right chase quantity, sourced from the right fulfilment centre
  • Same inputs always produce the same quantity, explainable line by line
  • Fewer split shipments and handling touches, and a faster path to the shelf
  • Every action logged, time-stamped and traceable to the approved recommendation

Boundaries built in

  • The model can propose, but only a person can authorise a write to a system of record
  • The chase quantity is calculated by rules, never by the language model
  • Routing rules on the MCP server cannot be overridden by the model
  • One governed gateway, so no system of record is duplicated or bypassed

Technologies used

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