The platform functions by ingesting a diverse array of inputs—from voice memos and rough sketches to formal RFPs and competitive quotes—to interpret buyer intent. By identifying missing information or potential rule conflicts before they escalate into costly errors, the system proactively guides representatives through the configuration process. When requirements shift mid-negotiation, the agent recalculates the impact in real-time, eliminating the need to restart the proposal from scratch.
Threekit Debuts AI Sales Agent to Automate Complex Manufacturing Quotes
Manufacturing sales representatives have long contended with the rigid, time-consuming nature of legacy CPQ and ERP systems, but Chicago-based Threekit is now attempting to bridge that gap with a new AI-driven tool designed to transform unstructured customer requirements into valid, ready-to-order product configurations in seconds.
CEO Matt Gorniak notes that the tool addresses a persistent bottleneck between initial customer inquiry and the formal CPQ stage. The technology is built on an infrastructure supporting over 10 million configuration-to-quote sessions monthly, maintaining ISO 27001 certification and a 99.8% SLA. With revenue for the AI Sales Agent rising by 229% over the past year, the company is positioning the software for deployment across direct sales, dealer networks, and e-commerce channels to satisfy growing demand for intuitive, high-speed manufacturing sales solutions.
Comments (0)
No comments yet. Be the first!