The advancements in LLMs and Agentic Universe has enabled businesses to incorporate intelligent automation across business applications. With this paper we present a methodology to enhance B2B sales process where LangChain framework and Agents could be used to fetch critical information from the internet in real time to indirectly calculate a Business’s Willingness To Pay in the form of a score generated by Reasoning LLMs, and rank order these businesses to filter out the ones who at the given point in time have the highest WTP, which could be used by Sales teams to prioritize, negotiate a better pricing and identify sales opportunities currently active in their respective time zones