Abstract: A system and method for streamlining a deal pipeline based on large language models are provided. The method includes encoding an input query into a numerical representation in a business domain; retrieving data from a deal knowledge base based on the numerical representation; generating a prompt based on the encoded input query and data retrieved from the knowledge base; feeding the prompt to a generic-trained language model; and ranking responses provided by the generic-trained language model, wherein the responses are related to at least a deal pipeline.

Abstract: Techniques for efficiently generating a brief of a call summary is provided. The method includes ingesting at least one simplified transcript, wherein a simplified transcript is a summarization of a transcript of a call and includes a plurality of bullet points of at least one main subject; representing each bullet point of the plurality of bullet points of the simplified transcript as an embedded vector using an embedding technique; determining at least one grouping of the plurality of bullet points based on the embedded vector, wherein the grouping includes at least one bullet point; feeding the at least one grouping into a trained rephrasing model to generate a rephrased content for each of the at least one grouping; and generating a summarized brief based on the rephrased content of the at least one grouping, wherein the summarized brief is generated as natural language textual data below a predetermined length.

Abstract: A system and method for efficiently generating sales call summaries are provided. The method includes ingesting textual data and input data; formatting textual data and input data to create a unified data format, wherein the unified data format includes data chunks for the textual data and the input data, wherein the data chunks in the unified data format are in a same data format; generating a prompt for each data chunk of the textual data, wherein the prompt is created based on the formatted input data; feeding the generated prompt to a trained language model to create a summary of the each data chunk, wherein the summary is a comprehensive summarization that describes the textual data of the data chunk; and causing a display of the summary via a user device.