Built an AI-powered sales coaching platform that automatically evaluates sales calls against company playbooks, delivers objective performance scores, and provides actionable coaching insights for every sales representative.
Sales managers spent many hours manually reviewing call recordings, leading to inconsistent coaching, subjective evaluations, and limited scalability as the sales team grew.
Developed an automated evaluation pipeline that processes call transcripts immediately after completion, retrieves company-specific playbooks through vector search, and uses LLMs to score conversations across customizable evaluation criteria including objection handling, script adherence, and offer clarity. Managers can define scoring rules through an admin interface while dashboards provide historical performance trends and coaching insights.
Productivity Improvement Quality Improvement Knowledge Management Employee Experience Time Savings
Reduced manual sales call review by more than 10 hours per manager each week, standardized coaching quality across teams, eliminated evaluation inconsistencies, and successfully processed approximately 200 sales calls per day with low-latency automated scoring.