AI Pricing, Fair Market Value, and Used IT Asset CPQ with Garima and Pulin
APR 5, 202631 MIN
AI Pricing, Fair Market Value, and Used IT Asset CPQ with Garima and Pulin
APR 5, 202631 MIN
Description
In this episode of the CPQ Podcast, Frank Sohn speaks with Garima and Pulin about how AI-driven fair market value (FMV) intelligence can support pricing and CPQ-related processes in the used IT asset market. The conversation goes beyond product features and also explores the personal stories behind the business. Garima shares her journey from flight attendant to entrepreneur and explains why perseverance has been such an important strength throughout her career. Pulin talks about starting out in finance, teaching himself computer skills, learning from a failed startup, and even driving Uber in the early days of the company to help keep the business going. On the business side, this episode looks at how their platform is designed to bring more structure and pricing transparency to the used IT asset industry. Pulin describes the goal as creating something similar to a Kelly Blue Book for used IT assets, while Garima explains why fair market value is at the center of the platform. The discussion also covers why they see CPQ and their business as mirror images, how FMV-based intelligence can influence pricing decisions, and why this matters for organizations involved in reverse supply chain and asset monetization processes. Frank, Garima, and Pulin also discuss the company's ideal customer profile, including OEMs, VARs, and ITAD organizations, as well as broader trends around AI, data, integration, and the future of pricing. This episode is especially relevant for anyone interested in: CPQ AI in pricing Fair market value intelligence Quote-to-cash Used IT asset pricing Reverse supply chain technology IT asset disposition (ITAD) If you work in CPQ, pricing, revenue operations, or B2B technology, this conversation offers a different perspective on how pricing intelligence can shape commercial processes in markets that have historically lacked consistent benchmarks. 🔗 Learn more about Pyxtech at https://www.pyxtech.com/ 📬 Contact Garima on LinkedIn at https://www.linkedin.com/in/garimaoza/ Contact Pulin on LinkedIn at https://www.linkedin.com/in/pulinkumar/