Letting Data Speak!
Case Study
Analyzing Customer Churn: Uncovering Insights Through Conversation Data
About the Client
A comprehensive gender-affirming healthcare platform for transgender, nonbinary, and gender non-conforming individuals, offering services including hormone therapy, mental health support, and personalized care plans.
Challenge
The client faced a high churn rate among its customers, attributed to various unknown reasons. They needed to understand these reasons and identify potential pain points causing dissatisfaction across their range of services.
Key Results
Reduced customer churn rate by 10% by addressing the top pain points
Identified the top 10 pain points for the provided services
Improved understanding of customer needs and challenges, leading to enhanced service offerings and better customer retention strategies
Solution
JashDS implemented an AI-driven analysis approach to address the client's customer churn issue:
Leveraged VertexAI and Gemini LLM to analyze conversation data between customers and various business stakeholders
Conducted a comprehensive analysis across different service buckets, including onboarding, medical appointments, lab work, and mental health support
Identified key areas of concern, such as:Scheduling issues Insurance complexities Communication gaps
Provided actionable insights to improve service offerings and customer retention strategies
Technologies Used
VertexAI
Gemini LLM
Natural Language Processing (NLP)
Machine Learning
Other Case Study Items
AI Model for Retail Shelf Monitoring
JashDS revolutionized retail shelf management for a major grocery chain by developing an AI-powered real-time monitoring system. The solution utilized advanced computer vision techniques and deep learning models to detect out-of-stock and misplaced products, significantly improving inventory accuracy and enhancing the customer shopping experience while reducing manual labor costs.
AI-Driven Candidate Screening Revolution
JashDS revolutionized a company's hiring process by developing a GenAI-powered candidate screener that reduced time-to-hire by 50% and improved hiring outcomes. The solution leverages advanced language models to conduct dynamic, role-specific interviews, automatically generating and adapting questions based on job descriptions and candidate responses.
AI-Powered Resume-Job Matching Engine
JashDS developed an AI-powered resume-job matching engine for a leading Indian job portal, processing over 1M resumes and 50k job descriptions. The solution employed BERT embeddings and HNSW algorithms to create personalized job recommendations for candidates and streamline resume screening for recruiters, significantly enhancing the job search and recruitment processes.