Machine Learning Services and Analytics in Finance
Client
A financial services company aiming to optimise its pricing strategy for increased profitability and customer satisfaction.
Challenge
The client required a dynamic pricing strategy adaptable to individual customer profiles based on diverse data points.
Solution
We utilized our AI Innovation Blueprint to employ classification machine learning models and self-service BI tools to devise a sophisticated, adaptive pricing strategy.
Implementation
AI Innovation Blueprint: Our blueprint provided a strategic plan for implementing machine learning models and BI tools, detailing each phase from data collection to deployment.
Data Collection: Gathered extensive data on customer behaviour, payment history, and in-app activity.
Machine Learning Models: Developed classification models to analyse data, identifying patterns and trends to inform pricing strategies.
Self-Service BI Tools: Implemented BI tools that enabled the client's team to interact with data, generate reports, and make informed decisions.
Results
Personalised Pricing: Enhanced customer satisfaction through tailored pricing strategies.
Maximised Profitability: Increased profitability by 18% through optimized pricing.
Benefits of AI Innovation Blueprint
- The AI Innovation Blueprint provided a strategic and systematic approach, instilling confidence in the client. It facilitated seamless integration of machine learning models with existing systems, providing scalability and flexibility.