Turn demand signals into purchase orders automatically — before shortages happen, not after.
For manufacturers, procurement and production planning are inseparable. When demand forecasting is disconnected from purchasing, the result is chronic shortages, excessive safety stock, emergency airfreight, and missed production schedules. Proconomy's Demand Forecasting and MRP workflow bridges the gap between what will be needed, what is already on order, and what needs to be procured — enabling procurement teams to act proactively rather than reactively. AI-driven forecast agents continuously analyse sales orders, production schedules, and historical consumption to generate purchase recommendations before stockouts occur.
Every step is designed to eliminate manual effort, reduce errors, and give your team real-time visibility at every stage of the process.
Sales orders, production schedules, and historical consumption data are aggregated into a unified demand picture.
AI Demand Forecast Agent analyses rolling 18-month consumption history combined with current order book to generate statistically validated forecasts.
The finished goods forecast is exploded through the Bill of Materials to derive component-level requirements at each sub-assembly level.
Current stock levels, goods in transit, and open purchase orders are netted against gross requirements to calculate true net demand.
The system generates a prioritised list of suggested purchase requisitions — grouped by supplier, category, and urgency.
AI ranks suggested requisitions by supply risk, flagging components with long lead times or single-source dependency.
Buyers review the suggested requisitions, adjust quantities if needed, and release them into the procurement workflow.
AI highlights lines where the suggested quantity deviates significantly from the buyer's historical release patterns.
All open and scheduled purchase orders are tracked against confirmed delivery dates — giving production planners full visibility of supply status.
AI Demand Forecast Agent monitors delivery confirmations and flags potential shortages 5–10 days before they impact production.
Proconomy gives every stakeholder the right view, the right tools, and the right level of access — so no one is a bottleneck and nothing falls through the cracks.
These are not theoretical benefits — they are outcomes that procurement teams experience within the first quarter of deploying this workflow on Proconomy.
Proactive demand signals mean procurement acts weeks ahead of shortages — not hours before a line stoppage.
Precise net requirements calculation eliminates over-ordering while maintaining service levels — reducing working capital tied up in stock.
What took 2 days of manual MRP runs and spreadsheet work now completes in under 2 hours — automatically, every day.
AI models incorporating seasonality, trends, and real-time demand signals consistently outperform manual spreadsheet forecasts.
Multi-level BOM explosion across direct and indirect materials
Short lifecycle NPI demand planning and EOL transition management
Long lead time capital components and MRO management
Regulated supply chain with validated forecast models
Wafer-start driven material planning — substrate and bonding wire requirements exploded automatically
The end-to-end procurement engine — from demand signal to supplier payment, fully automated and audit-ready.
Explore 9 steps →Qualify, approve, and activate new suppliers in days — not weeks — with AI-powered risk assessment built in.
Explore 6 steps →Draft, approve, sign, and manage every supplier contract in one place — with zero expiry surprises and full utilisation visibility.
Explore 6 steps →Digitise the entire Part Production Approval Process — from FMEA to PSW — with zero missing submissions and full audit readiness.
Explore 6 steps →See how Proconomy transforms this workflow for your procurement team — live, with your own scenarios.