Optimizing Pricing Framework using Reasoning LLMs and Agents for Enhanced Deal Negotiations

Generative AI and the potential it carries has enabled businesses to incorporate intelligent automation and optimization across domains. With this paper we present a methodology to enhance b2b pricing and deal negotiation process where langchain framework and agents could be used to summarize critical information regarding businesses (B2B customers)in real time to indirectly calculate their willingness to pay in the form of a score generated by reasoning LLMs. This score will acts as an indicator to suggest the customer’s ability to accept the price point being negotiated in the given period of time based on their financial health, market sentiments and internal to company performance.