南京商络电子 · Manufacturing
The published reference
FastGPT describes a workflow that interprets component part numbers, extracts fields and connects the structured output to an enterprise database. No numerical accuracy claim is reproduced here.
Read the original FastGPT case (Chinese)
Reviewed September 3, 2026. Reported results have not been independently audited by CNPS. This is not a customer project delivered by CNPS.
Reference pattern
Structured fields — part-number interpretation and database workflow
CNPS pilot concept
How to evaluate a similar workflow
Use synthetic or approved RFQs to extract the original part number, requested quantity and missing information. Match only against approved product data; a person confirms substitutions and pricing.
What to measure
Field-level correctness, missing-field detection, traceability to the input and review time.
What we agree before starting
The data and users in scope, access controls, the review process, integration dependencies and acceptance samples. Your written proposal defines deliverables, costs and timing.
Discuss your workflow
Tell us what happens today, the systems involved and where your team loses time. Bring a process owner and non-confidential examples.
CNPS is a FastGPT partner. Platform licensing and implementation services are defined in your written proposal. Reference cases are published by FastGPT; CNPS has not independently audited the reported results.