← Back to use cases
Poloplast pilots AI capabilities in demand planning
Added 2026-10-14 · Reviewed 2026-10-15 · Poloplast
Read the source ↓What the company did
Microsoft reports Poloplast using Dynamics 365 demand planning to connect item-level forecasts with operational and financial planning. Within that broader implementation, the company was testing AI forecasting capabilities and Copilot Studio summaries, with BE-terna supporting the underlying business-system rollout.
How it went
Poloplast says its demand-planning engine usually outperformed manual predictions and made sales planning faster. The report supplies no quantified AI forecast comparison or complete test method. Faster budgeting and data-processing figures elsewhere in the story concern the wider implementation and cannot be assigned to this AI trial.
Worth knowing
- Production use of the planning application and testing of its newer AI capabilities are different stages of adoption.
- Practical takeaway: Compare forecast and actual demand by item and horizon, retaining the prior baseline and planner overrides. Review a summary against those figures before using it to change a production plan.
Sources & provenance
Poloplast modernizes manufacturing and streamlines forecasting and planning with Dynamics 365 ↗
Microsoft · Published 2026-03-03 · Reviewed 2026-10-15
“testing the solution’s AI capabilities”
Supporting evidence and review
Human review required
- Independent review advice: compare pilot forecasts with actual demand and the prior baseline.
- Keep planner overrides and inventory-service constraints visible.
Evidence & limitations
- Company/provider-reported deployment or pilot; no independent Freight Fieldnotes evaluation.
- AI capability testing is distinct from the company’s broader production planning rollout.
- The report gives no independent AI forecast benchmark or complete pilot method.