Scattered PDFs and messy spreadsheets make demand forecasting unreliable. This guide shows how Nordoon’s AI Agents turn non-EDI data into structured, validated forecasts. Automatically mapped, matched, and ready for planning.
It’s hard to trust your demand forecasts when you build it manually.
For manufacturers, especially in sectors like pharma and food & beverage, predictability is everything. But when your demand data arrives in scattered PDFs, spreadsheets, and emails often incomplete or in inconsistent formats, it's hard to build the forecasting precision your production teams rely on.
Manual data entry, one-off Excel templates, and constant back-and-forth with customers only add friction. And as non-EDI communication remains the norm with many mid-size manufacturers, demand planning teams are left juggling mismatched IDs, vague timelines, and operational blind spots.
That’s why we created this guide: to show how you can use AI Agents to automate the entire non-EDI demand forecasting flow — from mapping customer IDs and SKUs to validating delivery dates — and turn unreliable inputs into structured, actionable data. With just one setup and 4 easy steps, you can go from messy forecasts to clean, validated data with minimal manual effort.
Step 1: Upload your lookup table
Start by uploading a file that contains your internal mappings, for example, material IDs and customer IDs. This table will serve as the foundation for verifying incoming forecast documents.
Example:
This makes the automation both accurate and context aware.
Step 2: Customize your demand forecast template
In the Nordoon app, select a pre-built template for demand forecasts and start customizing it to match your process.
To enable smart matching, connect these fields to your uploaded lookup table.
Step 3: Define validation rules
This is where AI Agents really shine. Create rules to ensure that:
Set these rules to “require” so that AI Agents can automatically flag issues, like a sudden spike in quantity or a mismatched delivery window.
Step 4: Test with real forecast data
Once your template is ready, test it by uploading a few sample demand forecasts.
In the result, you’ll see:
Final result: a repeatable automation
Now that your template is configured, the process is fully automated. The next time you receive a forecast in PDF, Excel, or another format, Nordoon AI Agents will do the rest: extract, match, validate, and flag.
If you’d like to see how a demand forecasting workflow works in Nordoon before you start your own, here’s a quick video tutorial to guide you.
No more manual mapping. No more guesswork. Just structured, actionable demand data that’s ready for planning. Wanna try Nordoon to automate your daily workflows? We offer a free trial to get you started on your automation journey nice and easy. Start here.
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