Our scale-up company is seeking an AI & ML expert to develop a predictive customer churn model. The aim is to leverage data analytics and machine learning technologies to identify customers at risk of leaving, enabling proactive retention strategies.
Businesses facing high customer churn rates, particularly those in subscription-based models seeking insights for retention strategies.
Customer churn is impacting our revenue and growth projections, necessitating a robust solution to predict and mitigate attrition proactively.
The market is ready to invest in solutions like ours due to the substantial revenue impact from customer retention and the competitive advantage it provides.
Failure to address customer churn will result in significant revenue losses, reduced market share, and diminished competitive edge.
Existing alternatives include basic CRM analytics which lack predictive capabilities, often reactive rather than proactive in customer retention strategies.
Our model uniquely combines LLMs and NLP with real-time edge AI deployment, offering a proactive and scalable solution not widely available in current market offerings.
We will target businesses with subscription models via digital marketing campaigns and partnerships with CRM providers, highlighting the cost savings and revenue benefits of reducing churn.