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Sales Sidekick

A GenAI/RAG-powered sales enablement tool that bridges the gap between marketing leads and sales execution at Diversey.

GenAIRAGMarTechPythonProduct Management

Overview

Sales Sidekick is a GenAI/RAG-powered sales enablement tool I spearheaded at Diversey (A Solenis Company) during my Product Management MBA internship. The tool was designed to bridge a critical gap between media-generated leads and sales team execution.

The Challenge

Sales teams faced what we called “information chaos” — product specs scattered across dozens of PDFs, competitive intel buried in email chains, and customer-specific data locked in individual rep’s memories. When a lead came in hot from a marketing campaign, reps often couldn’t respond with the right technical details fast enough.

Solution Architecture

The system uses Retrieval-Augmented Generation (RAG) to give sales reps instant, contextual answers:

  1. Document ingestion — All product docs, competitive analyses, and case studies are chunked and embedded
  2. Vector search — When a rep asks a question, relevant chunks are retrieved via similarity search
  3. LLM synthesis — Retrieved context is fed to a language model that generates a tailored, accurate response
  4. Citation tracking — Every answer links back to source documents for verification

Impact

Hungry for more?

Take a look at some of my other projects.