Predictiva utilizes machine learning and natural language processing to automate quality control in call centers, enabling real-time analysis of customer interactions across over 90 languages. This technology reduces call analysis costs by up to 70% while improving agent performance and increasing sales conversion rates by 20%.
Funding
Funding not disclosed
Founders
Product
Problem
Call centers often struggle with the time-consuming and expensive process of manually analyzing call recordings for quality assurance and agent performance evaluation. Traditional methods lack scalability and consistency, hindering the ability to identify areas for improvement and optimize customer interactions across a large volume of calls.
Solution
Upbe provides a conversation intelligence platform that automates call center quality analysis using machine learning and natural language processing. The platform transcribes and analyzes customer interactions in over 90 languages, identifying key elements and patterns within the conversations. This enables call centers to reduce call analysis costs, improve agent performance, optimize sales processes, and enhance customer experience. By transforming call data into actionable insights, Upbe helps businesses make better decisions and drive greater value from their customer interactions.
Target Audience
Upbe targets call centers of all sizes, particularly those focused on sales, customer service, and collections, as well as B2B companies seeking to improve their sales prospecting and lead generation efforts.
Features
- Automated call transcription and analysis in over 90 languages
- Identification of key conversation elements and patterns using machine learning and NLP
- Quality assurance and compliance monitoring
- Agent performance evaluation and coaching
- Sales process optimization and revenue intelligence
- Integration with existing call center systems and CRM platforms
- Customizable dashboards and reporting