Threekit Launches AI-Native CPQ Platform for Manufacturing Sector
Threekit has introduced its AI-Native CPQ platform, designed to streamline complex product configuration, pricing, and quoting processes for manufacturers and B2B companies.
Threekit announced the launch of its AI-Native CPQ platform, a configure-price-quote system built from the ground up for artificial intelligence and modern sales methodologies in the manufacturing and B2B sectors.
The platform aims to address shortcomings in traditional CPQ systems, which were primarily designed for order entry and assumed users had precise product knowledge. Threekit states that this often necessitates involving product experts in the quoting process, leading to delays and difficulties in incorporating various forms of data like images or voice notes.
Threekit's AI-native approach begins with the user's goal. The system interprets requests, analyzes needs, recommends solutions, and validates them against the company's product catalog, pricing, and business rules. This creates a dynamic and conversational front-end experience while maintaining underlying governance.
The new CPQ system can also be deployed directly on manufacturers' websites, acting as an AI sales agent to guide customers through product selection and configuration. The company cited an example of a window and door manufacturer that reportedly doubled its leads after implementing a Threekit-powered online buying experience.
Additionally, the platform is intended to assist dealers and sales representatives by allowing them to input available information—such as specifications, photos, or voice notes—to generate product recommendations and quotes. A commercial plumbing manufacturer is mentioned as achieving four times faster quote generation using Threekit. The company, founded by individuals involved in previous CPQ solutions like BigMachines and SteelBrick, aims to simplify the purchasing of complex products.