Threekit has launched an AI-native CPQ for manufacturers that turns a customer’s requirements into a valid configuration and a quote for sales reps, dealers and website visitors.
What happened
Threekit describes its AI-native CPQ as a platform that takes customer requirements, builds a valid configuration, applies the manufacturer’s pricing rules and produces a quote. The company’s blog says the input can be a voice note, a photo or a plain-language request, which replaces the long forms reps and dealers have filled in to get to a proposal.
Threekit says it is built by the team behind Oracle CPQ and Salesforce CPQ, with 15 years of experience and more than 1,000 enterprise implementations behind it. Its homepage says it is trusted by 150+ manufacturers and cites 4x faster quoting from start to signed and a 95%+ increase in website leads when customers actively engage with the AI experience.
Why it matters
Threekit’s homepage describes quotes that wait when a rep or dealer needs help with a combination and someone who knows the product rules has to answer. Threekit’s pitch is to move that check into software that works from the manufacturer’s own catalog and rules. We covered a similar shift toward software that completes the work in contract software moving from a tool to an executor, and the web-facing half of Threekit’s pitch echoes product demos moving to live agents.
Our take
The interesting design choice is the intake. A conversational front end only helps if a messy input still ends in a quote the manufacturer can build and price, so the value sits in the rules layer under the chat, not in the chat. Sales leaders evaluating tools like this should ask how often a request ends in a valid quote with no expert involved, and what happens to the rest. The 4x and 95% figures are Threekit’s own and link to case studies we have not reviewed.
Source: Threekit
