AI Sales Intelligence System

Data-driven sales intelligence platform to boost conversion and pipeline

Role

Analytics + AI

0 → 1

Scale

10,000+ Calls

Per run

Users

Sales, Managers, Leadership

AI Stack

LLM, RAG, NLP, Text→SQL

The Problem

Sales teams were operating with zero visibility into what actually drives conversions.

Thousands of daily sales calls remained unstructured and unused

No clear understanding of why leads drop off

Agent performance measured only on final conversions, not behavior

No scalable way to identify objections, pitch quality issues, or funnel leakages

Solution: AI Sales Intelligence Platform

Transforms raw call data into structured, actionable insights across the sales funnel.

Core Capabilities

Call Transcription

Multilingual transcription (Hindi + English code-switching) with speaker diarization

Lead Intent Classification

Categorized leads into Hot / Warm / Cold with next-step recommendations

Objection & Issue Detection

Automatically tagged issues (price, visa, timing, trust, logistics)

Pitch Quality Scoring

Evaluated calls against an "ideal pitch" using RAG-based comparison

Agent Coaching Signals

Measured tonality, sentiment, adaptability, and problem-solving

System Architecture

Call Audio (S3 / Athena)

Transcription (Gemini 2.5 Flash)

NLP Processing Layer

Structured Output (PostgreSQL)

Dashboards + Insights Layer

Natural Language Query Bot (Text → SQL)

AI Layer

LLM-based summarization of calls

RAG pipeline for pitch evaluation

NLP pipelines for classification and tagging

Confidence scoring and validation mechanisms

Scale & Impact

10,000+

Calls processed per run

~70/min

Summaries generated (parallel)

Funnel

Leakages & objection trends identified

Enabled data-driven coaching and lead prioritization

Reduced dependency on manual call analysis