CO-SALES.AI

AI CPQ for Manufacturing

By John Doe1 min read

The Problem with Manufacturing Quoting

60% Leads lost while waiting for quotes
  • 3-5 day quote cycles
  • Pre-sales bottleneck
  • Manual BOM errors

Before vs After

Quote time
3-5 days
15 min
85% faster
First-pass accuracy
76%
100%
Zero rework
Engineer involvement
Every quote
Edge cases only
22 hrs/week freed

See it in action

Learn how the CO-SALES.AI configurator can transform your quoting process.

View CO-SALES.AI

AI CPQ is a sales tool that uses LLM to guide B2B buyers through complex product configuration via natural conversation. For manufacturers with thousands of SKUs and compatibility constraints, this transforms the quoting process.

Why traditional quoting fails in manufacturing

Manufacturing catalogs are complex. Customers rarely know exact part numbers—they describe use cases. Translating "30 VMs, NVMe, HA, around $40K" into a validated configuration requires engineering knowledge. Account managers cannot do it alone. The result: 3–5 day quote cycles and 60% of leads lost while waiting.

Companies using AI CPQ report 40% faster quote generation (Gartner 2025).

How AI CPQ changes the game

The Co-Sales.AI configurator connects directly to your product database. No document retrieval, no guessing. Every component is validated in real time against your actual catalog. The dual-agent architecture—Interviewer plus Engineer—conducts a structured scoping session and assembles a complete, audit-ready BOM in 15 minutes.

Implementation timeline

Typically 2–4 weeks versus 6–18 months for traditional CPQ. Most deployments go live in 5 weeks from kick-off to production.

FAQ

AI CPQ uses LLM to guide buyers through product configuration via conversation.
Typically 2-4 weeks versus 6-18 months for traditional CPQ.

Try Co-Sales.AI

See the configurator in action.

AI CPQ for Manufacturing