Custom AI Solutions That Work for Buy Here Pay Here (BHPH)
Where AI Meets Auto Financing Excellence
Custom AI Solutions That Work for Buy Here Pay Here (BHPH)
Where AI Meets Auto Financing Excellence
Where AI Meets Auto Financing Excellence
Where AI Meets Auto Financing Excellence
Businesses grapple with overwhelming amounts of CRM notes, call recordings, and operational data. Hidden within these vast datasets are insights critical for proactive decision-making, yet extracting them efficiently remains elusive.
Amid countless customer interactions, valuable signals—like signs of financial risk, customer dissatisfaction, or growth potential—often go unnoticed. This can lead to missed opportunities to improve customer engagement, mitigate risks, and drive growth.
From reviewing CRM notes to grading customer calls, manual processes take up significant time and resources. Teams struggle to scale efficiently, leading to delays in decision-making and missed chances to optimize customer experiences.
Founded by people with extensive BHPH industry experience, we offer a collaborative development and solution catalog model. Companies can customize existing projects from our catalog to fit their needs or receive significant discounts on new projects added to the catalog. This approach makes AI solutions affordable and scalable for the entire industry. Review our catalog below to see what AI solutions we've already built for others that you can customize for your business. Contact us for a demo.
Using customized logic for the LLM to use, Artemis AI analyzes CRM notes across numerous accounts to hunt for actionable insights and provides reports identifying problematic accounts. The system performs this analysis without accessing sensitive customer information.
Example Use Cases:
Reason for Development:
A collections department needed a solution to review thousands of daily CRM notes to identify potential charge-off accounts and apply early mitigation measures. Another company asked: "How can we identify which accounts on next week's call list are lower risk, so we can prioritize our calling efforts?"
Provides quick summaries of CRM notes for individual accounts, allowing users to interact with an AI assistant via chatbot to discover actionable insights, receive guidance on next steps, and create personalized messages. Its "Master Closer" function analyzes account history and provides two strategic recommendations for moving forward.
Example Use Cases:
Reason for Development:
A Sales Manager needed a solution to help representatives quickly review and act upon hundreds of transferred accounts. Additionally, he wanted AI to gather online advice from sales trainers about effectively closing stagnant prospects.
Converts voice to text for detailed analysis, removes sensitive customer information, and enables users to interact with an AI assistant via chatbot to uncover actionable insights.
Examples of Applications:
Reason for Development:
A Call Center supervisor needed more call evaluations from Quality Assurance (QA). With 13 QA personnel monitoring 50 representatives each, QA could only grade one call per representative per week.
Powered by advanced Retrieval Augmented Generation (RAG) technology, enabling users to access training information and private documents via chat or voice through the AI Assistant.
Example of Applications:
Reason for Development:
A VP of Collections sought a solution to shorten training, get new collectors phone-ready faster, and help them quickly answer general questions without placing customers on hold.
Utilizes AI voice-to-voice technology, enabling seamless interactions where the AI processes and analyzes spoken responses in real time to gather and validate key information.
Application:
Potential Application:
Reason for Development:
A finance company needed to streamline phone verifications for bulk auto loan purchases from BHPH auto dealers to expedite the purchase process and generate required reports.
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