Lead Rescue

AI Development

Python, Langchain, Whisper, GPT, Claude, Llama

Backend and frontend developers, a QA engineer, 2 AI engineers and an AI solutions architect.

6 Months

The client for this project includes businesses in sales and customer support, like car dealerships, banks, and tech support centers. These companies need tools to improve how they communicate with customers and ensure high-quality service.

In sales and customer support, good communication is key to keeping customers happy and meeting business goals. However, checking the quality of conversations between customers and support or sales teams can be tough. Traditional methods are often slow, subjective, and might not fully capture the communication details. Businesses need a way to objectively analyze and improve these interactions, making sure they follow company standards and perform well.

The platform's criteria can be customized, so businesses can adjust the analysis to fit their needs. Lead Rescue can transcribe voice to text and analyze based on custom criteria, making it useful for different tasks like checking how well sales managers in car dealerships are doing, assessing bank consultations, and evaluating tech support operators. - Langchain facilitated the seamless integration of language models, enabling efficient processing of conversational data. - Whisper was employed for accurate voice-to-text transcription, allowing the platform to analyze spoken interactions.