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CNPS × FASTGPT

Move service requests from conversations to a brief

FastGPT describes extracting customer requirements from conversations and routing them to regional designers, with support for additional visual context.

OPPEIN (欧派家居) · Operations

The published reference

FastGPT describes extracting customer requirements from conversations and routing them to regional designers, with support for additional visual context.

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 intake — conversation details prepared for service routing

CNPS pilot concept

How to evaluate a similar workflow

Choose one intake channel. Extract the customer's request, identify missing fields and prepare a routing suggestion for a service coordinator.

What to measure

Required-field completeness, correct routing, review effort and exceptions.

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.

Explore this pilot approach

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.

Discuss your workflow

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.

Let’s start with your real-world challenge.

Tell us what you need to improve, where you work and when you want to begin.

Start a conversation