While final deployment continues, the project has transitioned predictive modeling to a scalable pipeline, introduced automated retraining, and improved pricing strategies and cohort analysis for greater profitability.
Meet our client
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Client’s Challenge
A leading mobile provider sought to optimize a project predicting the financial impact of customers trading in phones under installment plans. The project used models to predict used phone resale values and customer trade-in likelihoods, with insights displayed in dashboards for pricing strategies and cohort profitability.
Our Solution
We joined the project at the PoC stage to transition the solution from notebooks to a production-ready Python package, improving the codebase and resolving key issues. We deployed on Vertex AI Pipelines with the client’s Polygon framework, including automated model retraining through custom components.
Client’s Benefits
While final deployment continues, the project has transitioned predictive modeling to a scalable pipeline, introduced automated retraining, and improved pricing strategies and cohort analysis for greater profitability.
