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An AI platform for the automatic transcription, analysis, and quality assessment of sales managers' calls
Company:
NDA
Role:
Product Designer, Senior
Period:
2026
Project Overview
Development of an intelligent platform for call analysis featuring automatic transcription, sales performance evaluation, and manager training. The system uses NLP and machine learning to identify strengths and areas for improvement in managers' conversations.
Problem
The company’s sales department handled over 500 calls a day, but listening to and evaluating them took up 80% of managers’ time. Only 5% of calls were analyzed manually, feedback was delayed by 3–5 days, and the objectivity of the evaluation depended on the manager’s subjective opinion.
Solution
Designed an AI platform with real-time automatic transcription and analysis across six modules: establishing contact, identifying needs, product presentation, handling objections, closing the deal, and professionalism. Implemented a color-coded quality rating system (from 0/10 to 10/10), detailed visualization of strengths and areas for improvement, and integration with CRM.
Results
1
100% of calls are analyzed automatically, instead of 5%
2
The time required to analyze a single call has been reduced from 15 minutes to 30 seconds
3
The conversion rate of calls into deals increased from 12% to 23%
4
The average check increased by 18% thanks to improved sales techniques
5
A monthly time savings of 120 hours for managers
6
The training period for new managers has been reduced from 3 months to 3 weeks
