Growth & Portfolio Intelligence
Demand Forecast Agent
Forward-looking demand planning without new infrastructure.
The business problem
1 to 2% revenue, over 2% EBITDA from SKU focus
Planning runs on last month’s spreadsheets while demand shifts weekly. Forecast errors show up as stockouts or write-offs too late.
What we deploy
Demand Forecast Agent
Forecasting and inventory modules built on existing operational data so reactive planning becomes forward-looking.
How this agent runs
Every agent follows the same operating loop on your stack: audit the evidence, decide with confidence scores, execute with human approval, and record results back to your systems.
Audit
Full coverage on the transactions and documents you choose: contracts, invoices, dispatches, disputes.
Decide
Confidence-scored recommendations with counterfactuals, tax feasibility, and policy rules applied first.
Execute
Human-in-the-loop for consequential actions. Agents prepare; your team approves.
Record
Clean results posted back to your ERP, WMS, or operational systems with a full audit trail.
What we need from you
Data and systems
- ERP and WMS sales, margin, and inventory history
- SKU master, plant/BU hierarchy, and planning calendars
- Existing BI or spreadsheet definitions leadership already trusts
Typical timeline
Portfolio or forecast workbench in 8 to 12 weeks. Executive consolidation views follow once definitions are aligned.
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. We agree the baseline and success metric before deployment starts.
Key capabilities
Forward signals from historical dispatch and sales patterns
Horizons aligned to your replenishment cadence
No new data warehouse required for a first-pass forecast
How we deploy it
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. Same operating model on every agent: scope, deploy, measure, then scale or hand off.
Scope
Agree one outcome, baseline KPI, and the exports or systems the agent will read.
Deploy
Agent live on your ERP, WMS, or operational files within the engagement window.
Measure
Track results against the baseline with named transactions and audit trails.
Scale
Expand to adjacent modules or run independently. You own the code from day one.
Good fit if
- Forecast accuracy is measured but not improving
- Planners override the model without recording why
- Inventory and sales blame each other after every miss
Production module in the field
Supply Chain Suite
Case studies, module depth, and technical FAQs for the platform this agent runs on.
Frequently asked questions
Does this replace our planning system?+
No. It adds forward-looking demand signals on top of existing ERP and WMS data so planners move from reactive to forward-looking without new infrastructure.
What horizon does forecasting cover?+
Horizons are configured to your planning cadence (weekly replenishment through seasonal SKU planning) using your historical dispatch and sales patterns.
How quickly can we see value?+
Most pilots show improved forecast accuracy within one planning cycle once historical data is connected.
What if planners override the forecast?+
Overrides are logged with reason codes so you can measure model vs human accuracy over time.
Do we need clean historical data?+
We start from what you have, document gaps, and improve accuracy as feeds stabilize. Perfect history is not a prerequisite for a pilot.
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Ready to scope this agent?
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.