Using Agents to Automate Planner Coding: Capturing Unforeseen Events in Forecasting for $10M–$100M Companies

$10M–$100M companies frequently rely on manual planner coding to reflect unforeseen demand variability driven by marketing campaigns, competitor disruptions, or supply constraints.

Override maintenance becomes increasingly complex as SKU portfolios expand across channels.

Agent-based forecasting systems monitor behavioral demand signals continuously across retail, DTC, and marketplace channels.

Emerging demand patterns associated with unforeseen events are detected automatically.

Agents apply structural adjustments to uplift components independently from baseline demand.

Forecasts update continuously in response to evolving demand variability.

Supplier lead times are mapped against anticipated event windows.

Inventory procurement aligns with expected consumption patterns.

Agents generate multiple demand scenarios tied to potential event outcomes.

Planning teams evaluate these scenarios rather than applying manual overrides.

Automated event capture reduces working capital volatility associated with override-driven procurement cycles.

Financial planning becomes more predictable.

Override maintenance workload declines as agents automate event capture.

Planning teams focus on strategic scenario evaluation.

For $10M–$100M companies, agent-based forecasting transforms planner coding practices used to capture unforeseen demand variability.

Manual overrides evolve into scenario evaluation mechanisms that guide procurement decisions.