The Challenge
In the fast-evolving world of Media & Entertainment, understanding and predicting customer behavior is a competitive necessity.
Quartz’s client wanted to solve two complex challenges through AI:
- Identify and segment high-value customers (VIPs) early to maximize lifetime value and loyalty
- Detect and mitigate fraudulent behaviors, such as defaulting payments or exploiting promotional offers
SalesChoice’s work laid the groundwork for a scalable, high-performance AI infrastructure that positions the client for long-term success in predictive customer profiling and revenue optimization.
Quartz Enterprises is a business growth consultancy specializing in HR, IT, Systems Integration, Information Security, and Project Management.
Their client, a major media and entertainment company, turned to them to help scale globally—with a key focus on data-driven decision-making using AI and advanced analytics.
”Dr. Cindy Gordon and her SalesChoice team are experts in AI business model design and analytics. The team has an incredible depth and breadth of knowledge not only in the application of AI and Machine Learning models, but also in the formulation of strategies that have real business impact.
Christopher TertooleDirector of Business Intelligence
The Solution
SalesChoice partnered with Quartz Enterprises and the client’s IT and Marketing teams to assess and improve their AI and ML foundations. Using a consultative, collaborative approach, the SalesChoice team delivered:
- A redesign strategy for the client’s existing AI model, using alternative data markers to sharpen predictive accuracy
- A clear implementation roadmap to reconfigure the client’s architecture, algorithmic models, and success metrics
- Enhanced AI governance and data lineage planning, ensuring long-term model transparency, reliability, and accountability
- A framework to identify VIPs early in the customer journey, while flagging high-risk behaviors for fraud mitigation
The Results
With the new model blueprint in place, Quartz Enterprises and their client are now aligned on:
- Early identification of high-value customers
- Targeted mitigation of fraudulent customer profiles
- A roadmap for ongoing AI enhancement
- Stronger alignment between IT, Marketing, and Business Intelligence
