Live demo · Packaging & manufacturing
NTS QuoteDesk
Turn a packaging RFQ email into a structured enquiry, a missing-spec list and a draft reply.
Runs in your browser. The validation, millimetre conversion, missing-spec checks, review status and draft reply follow the same rules as our n8n workflow; a small rule-based extractor stands in for the AI step.
Playground
Try it yourself.
Synthetic data only — please don't enter real patient, claim or personal details.
2. Watch the workflow
Process an RFQ to see each step: untrusted-input check, extraction, validation, missing specs, draft reply and the sheet row.
The structured RFQ appears here: customer, product, quantity, size in millimetres, material, print and delivery.
About this demo
What it does and how it runs.
Our RFQ intake workflow for Australian packaging suppliers, running on a fictional supplier. Each quote request is read as untrusted input, turned into structured fields, checked with fixed rules, compared with the specs needed to quote, and given a draft reply for a person to approve.
- TypeScript
- Rule-based extraction
- Validation rules
- Google Sheets
Things to try
- Process the “Vague enquiry” sample: the draft asks only for the specs that are missing.
- Try “Inches and 5k”: the sizes are converted to millimetres and “5k” becomes 5,000.
- Try “Prompt injection”: the instructions in the email are flagged and the reply stays a holding message.
In a live setup (not in this demo)
- In a live setup an OpenAI model with a strict JSON schema does the extraction, so free-form emails are read far more reliably than by the rules used here. Everything after that step works the same way.
- RFQs arrive from the supplier's Gmail or Outlook inbox, every result is logged to a Google Sheet, and approved replies are saved as email drafts. Nothing is sent automatically.
- Required specs, product types and reply wording are set for each supplier. Prices, lead times and stock are always left to the estimating team.
An NTS AI Lab internal demo with a fictional supplier and customers, built to show how NTS QuoteDesk works. It is not client work.
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