Threekit Debuts AI-Native CPQ to Streamline Complex B2B Sales

Traditional CPQ systems operate on the assumption that users possess deep knowledge of product catalogs and technical specifications. This limitation creates bottlenecks, forcing manufacturers to rely on internal product experts to bridge the gap between customer intent and order execution. Threekit’s new platform shifts this dynamic by prioritizing the user’s goal over a fixed configuration path.

By leveraging AI to interpret inputs—ranging from voice notes and photos to formal RFPs—the system performs a real-time needs analysis. It reconciles these requests with existing pricing and business rules, ensuring the front-end experience remains intuitive while maintaining back-end governance. This approach addresses findings from a 2024 McKinsey B2B Pulse Survey, which noted that over half of B2B decision-makers will abandon a vendor if the cross-channel buying experience lacks friction.

Beyond internal sales support, the platform functions as an AI-driven sales agent on manufacturer websites. By moving away from static forms, companies can guide customers through complex selections autonomously. Early implementations have yielded measurable results: one major window and door manufacturer doubled its web leads, while a commercial plumbing firm reported a four-fold increase in quoting speed. Threekit, which currently serves over 150 companies including Bobcat and Owens Corning, is positioning this technology to resolve the disconnect between modern buyer expectations and outdated industrial sales processes.