AI-POWERED SALES AND MARKETING ANALYTICS PLATFORM USING MULTI-AGENT AI

Abstract

The rapid growth of data-driven business environments and increasing complexity of sales and marketing operations have created a significant demand for intelligent, automated analytics platforms capable of delivering real-time insights. Traditional analytics tools often fail to bridge the gap between raw data and actionable business intelligence, relying on manual processes that are slow, errorprone, and limited in scope. This paper presents the design and implementation of an AI-Powered Sales and Marketing Analytics Platform, referred to as SYNQ, which leverages Multi-Agent AI architecture and Retrieval-Augmented Generation (RAG) to automate the end-to-end analytics process. The proposed system is built around three specialized AI agents: the Analyst Agent, the Strategy Agent, and the Report Agent, operating sequentially under LangGraph orchestration. The Analyst Agent processes data retrieved from a ChromaDB vector database to identify KPIs, trends, and patterns. The Strategy Agent converts analysis results into actionable business recommendations. The Report Agent compiles all insights into a professional PDF report. The Streamlit-based frontend provides KPI metric cards, dynamic charts, an AI chat interface, and one-click PDF report downloads. Results demonstrate an end-to-end pipeline execution time of approximately 3.2 seconds and 94% average RAG retrieval relevance.