Our scale-up company is seeking an AI & Machine Learning expert to develop a predictive analytics platform that enhances customer retention in the Subscription Economy. Leveraging state-of-the-art technologies like TensorFlow and OpenAI API, the project aims to build models to predict churn and personalize engagement strategies.
Subscription-based service providers and platforms seeking to minimize customer churn and enhance engagement.
Customer churn in the Subscription Economy is a significant challenge, impacting revenue stability and growth. Identifying and engaging at-risk customers proactively is critical for maintaining subscriber loyalty.
Service providers in the Subscription Economy are keen to invest in predictive solutions due to the tangible revenue impact and competitive advantage it offers by reducing churn.
Failure to address customer churn will result in lost revenue, increased acquisition costs, and diminished market position, making it imperative to implement predictive analytics solutions.
Current alternatives include manual analysis and basic CRM systems; however, they lack the predictive power and personalization that advanced AI-driven solutions offer.
The platform's unique selling proposition lies in its ability to leverage advanced AI technologies to not only predict churn but also tailor customer engagement strategies based on individual subscriber data.
Our go-to-market strategy involves partnerships with leading subscription platforms, targeted marketing campaigns demonstrating ROI through case studies, and offering pilot programs to showcase the platform's efficacy in real-world scenarios.