Scenario Planning a Demand Shock Across Bull, Base, and Bear Cases

A consumer goods distributor entering a volatile season must commit purchase orders months ahead of knowing how demand will land.

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

A single-point forecast forces a bet, and the business argues about the number rather than the range.
Over-committing ties up working capital in stock that may not move; under-committing loses the season.
Scenario work is done in spreadsheets and is out of date before the commitment is made.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Bull, base, and bear demand cases are built from the same underlying model rather than assembled by hand.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Commitment decisions made against a range rather than a single contested number.
The cost of over- and under-committing quantified before the decision.
Later order tranches responsive to how the season actually opened.

Capabilities this relies on

Related catalog agents