A precision manufacturer in Shenzhen
The company makes custom precision parts with more than 2,000 product models, and every quote depends on material, process, labor hours and historical pricing. Quoting had long rested on three senior engineers, becoming an obvious bottleneck to growth.
- Key results
- Quote response 15 minutes · New hire ramp-up 2 weeks · Quote conversion up 37%
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About 300 employees, custom precision parts. Products used: ZClaw Knowledge enterprise knowledge hub, AI application development
The problem
Inquiries kept growing, but quoting depended heavily on individual senior engineers: new staff could not quote independently, quotes queued for three days at peak times, and customers walked away while waiting. Process knowledge was scattered across drawings and personal laptops, so it left with the engineers.
Our solution
We deployed a ZClaw Knowledge hub that structured historical drawings, process cards, quotations and engineer experience into more than 3,000 knowledge entries. On that base we built an AI quotation assistant: engineers enter requirement parameters and receive a draft quote with process suggestions for confirmation.
Implementation
- Weeks 1-2
On-site research across the whole quoting process; map quoting rules and knowledge inventory.
- Weeks 3-6
Cleanse and ingest historical documents; build the process and quoting knowledge system.
- Weeks 7-10
Develop the AI quotation assistant and calibrate it against historical quotations.
- Week 11 on
Company-wide launch, with knowledge update and quote review mechanisms in place.
Verifiable results
3 days→15 minutes
6 months→2 weeks
baseline→up 37%
* Results describe this project; actual outcomes vary with each company's baseline and scope.
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