Pitch Patterns
Build call centre excellence with AI analytics
Description
Pitch Patterns is a sophisticated Quality Control platform leveraging artificial intelligence to analyze conversations from sales and customer service calls. It helps teams understand interaction dynamics, identify areas for improvement, and ultimately enhance performance metrics such as sales close rates and customer satisfaction (CSAT) scores. The platform processes call recordings, including those from human agents and AI audio agents, applying advanced analytics to extract valuable insights.
By utilizing features like Social Skill Markers, multi-modal communication analysis, and detailed reporting, Pitch Patterns provides a comprehensive view of agent performance and call quality. It integrates seamlessly with various business tools, including CRMs like Pipedrive and Salesforce, telephony services, and online meeting platforms. The system also supports multiple languages and offers leaderboards to foster motivation and track KPIs effectively, making it a valuable tool for optimizing call center operations and agent training.
Key Features
- AI Conversation Analysis: Detailed breakdown of calls including Social Skill Markers and summaries.
- Quality Control Platform: Flags quality issues using over 50 distinct metrics.
- Multi-modal Communication Mood Analysis: Analyzes non-verbal cues like eyes and mouth alongside words.
- Live Leaderboards: Gamified system with motivation scores and KPI tracking.
- Advanced Reporting: Strategic report view encompassing 50+ metrics for deep insights.
- AI Agent Call Analysis: Monitors performance of robot calls (e.g., Bland.ai, Air, Dasha).
- CRM & System Integrations: Connects with Pipedrive, Salesforce, phone carriers, and telephony services.
- Multi-Language Support: Analyzes calls in English, Polish, Baltic languages, and others.
Use Cases
- Improving sales team close rates through call analysis.
- Enhancing customer service agent performance and CSAT scores.
- Automating quality assurance processes in call centers.
- Providing data-driven insights for agent coaching and training.
- Monitoring and ensuring the quality of AI agent (robot call) interactions.
- Boosting team motivation via competitive leaderboards.
- Analyzing call structures and communication patterns for optimization.
