AI-Powered Call Center Intelligence & Sales Coaching Platform

This AI-powered call center intelligence platform is designed to improve sales operations by analyzing customer conversations in real time, automatically evaluating agent performance, forecasting future sales trends, and generating personalized coaching reports. It helps organizations reduce manual quality-assurance effort, improve sales productivity, and make data-driven decisions with greater accuracy and speed.

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Key Challenges and Solutions

Limited Call Monitoring & Quality Assurance

  • High call volumes mean managers and QA teams can't review every interaction, leading to inconsistent assessment and missed coaching opportunities. The platform analyzes every conversation and generates performance scores and insights with no manual review.

Delayed Coaching & Feedback

  • Feedback is usually given long after a call ends, reducing its effectiveness and limiting agents' ability to improve. The platform analyzes every conversation and generates performance scores and insights with no manual review.

Inaccurate Sales Forecasting

  • Forecasting often relies on assumptions, intuition or incomplete data. AI-driven predictive analytics estimate deal-close probability and pipeline revenue, and segment opportunities (Hot, Warm, At Risk, Cold).

Inefficient Workforce Planning

  • Difficulty predicting call volumes leads to overstaffing or understaffing. ML models forecast call volumes and recommend staffing; if accuracy drops below threshold, retraining is triggered automatically.

Lack of Structured Agent Developmen

  • Agents rarely receive consistent or personalized training, making improvement hard to track. Automated coaching reports track performance trends and provide personalized learning recommendations per agent.

Key Features & Technical Capabilities

Real-Time Call Intelligence

The platform performs live speech transcription and analyzes customer-agent conversations in real time.

  • Emotion & sentiment detection
  • Talk-ratio monitoring
  • Pain-point & escalation alerts
  • Lead temperature scoring
  • Real-time conversational insights

Post-Call Performance Analysis

After each conversation the platform runs detailed AI-based analysis using transcription, prosody analysis and GPT-powered evaluation models.

  • Rapport building
  • Communication quality
  • Objection handling
  • Closing effectiveness
  • Overall sales performance

Call Volume Forecasting

Predicts future call volumes using machine-learning models such as Prophet and Random Forest, then generates hourly staffing recommendations for efficient workforce planning.

  • Prophet & Random Forest models
  • Hourly staffing recommendations
  • Forecast-accuracy tracking
  • Auto-retraining on drift

AI-Based Sales Prediction

Predicts the likelihood and value of deals so managers can prioritize the right opportunities.

  • Deal-close probability
  • Expected pipeline revenue
  • Risk segments: Hot / Warm / At Risk / Cold

AI Coaching & Learning Assistance

Automatically generates coaching material tailored to each agent's strengths and weaknesses.

  • Coaching reports
  • Personalized learning recommendations
  • Agent performance summaries
  • AI-driven training simulations

AI Assistant During Calls

An integrated AI assistant lets agents ask contextual questions during live conversations and receive relevant information instantly.

  • Live contextual Q&A
  • Instant knowledge retrieval
  • Faster, more effective responses

The platform performs live speech transcription and analyzes customer-agent conversations in real time.

  • Emotion & sentiment detection
  • Talk-ratio monitoring
  • Pain-point & escalation alerts
  • Lead temperature scoring
  • Real-time conversational insights

After each conversation the platform runs detailed AI-based analysis using transcription, prosody analysis and GPT-powered evaluation models.

  • Rapport building
  • Communication quality
  • Objection handling
  • Closing effectiveness
  • Overall sales performance

Predicts future call volumes using machine-learning models such as Prophet and Random Forest, then generates hourly staffing recommendations for efficient workforce planning.

  • Prophet & Random Forest models
  • Hourly staffing recommendations
  • Forecast-accuracy tracking
  • Auto-retraining on drift

Predicts the likelihood and value of deals so managers can prioritize the right opportunities.

  • Deal-close probability
  • Expected pipeline revenue
  • Risk segments: Hot / Warm / At Risk / Cold

Automatically generates coaching material tailored to each agent's strengths and weaknesses.

  • Coaching reports
  • Personalized learning recommendations
  • Agent performance summaries
  • AI-driven training simulations

An integrated AI assistant lets agents ask contextual questions during live conversations and receive relevant information instantly.

  • Live contextual Q&A
  • Instant knowledge retrieval
  • Faster, more effective responses

Overview

The platform turns every customer call into structured intelligence. Live transcription, sentiment analysis and GPT-based evaluation replace manual QA, while predictive models forecast sales outcomes and call volumes — automatically retraining when accuracy drifts. The result is consistent quality coverage across 100% of calls, real-time coaching, smarter staffing, and a measurable lift in sales productivity.

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Industry

Sales / Call Center Operations

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Region

Global

Technical Stack

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Our Role

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Development

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ML Engineering

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Deployment on Server

Project Highlights

  • Real-Time Transcription
    Live speech-to-text on every customer conversation.
  • Sentiment & Emotion Detection
    Flags pain points and escalations as they happen.
  • Automated QA Scoring
    Evaluates 100% of calls without manual review.
  • GPT-Powered Evaluation
    Scores rapport, objection handling and closing.
  • Sales Forecasting
    Deal-close probability and pipeline-revenue prediction.
  • Call-Volume Forecasting
    Prophet / Random Forest with auto-retraining on drift.
  • Personalized Coaching
    Tailored reports and AI training simulations per agent.
  • In-Call AI Assistant
    Contextual answers to agents mid-conversation.
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Project Screenshots

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