Industries
Topic
Summary
A private equity-backed golf organization partnered with CapTech to optimize tee time inventory and reduce lost revenue. CapTech demonstrated how predictive and generative AI can be operationalized to recover lost revenue while preserving the premium member experience.
Challenge
For golf clubs, unfilled tee times represent lost revenue that cannot be recovered. Furthermore, the daily review of upcoming tee times slots, matching golfers, calling golfers, checking member benefits, and converting a sale is time-consuming and time sensitive.
The organization needed a more proactive and scalable approach to tee time inventory management.
Approach:
To address this challenge, CapTech implemented a predictive, AI-driven solution to proactively identify and act on high-value inventory opportunities.
Key capabilities included:
- Continuous monitoring of tee time inventory
- Identification of expiring, high-value availability
- Predictive modeling based on historical booking patterns and member behavior
By combining real-time inventory monitoring with predictive modeling and contextual recommendations, staff could proactively match supply and demand—engaging the right customer or member at the right moment. This transformed inventory from something that was passively managed into a dynamic, optimized revenue lever.
Results
- Demonstrated model prediction with an average precision score of 92% for the pilot. This meant the model’s predictions included the “correct” golfers 92% of the time
- Identified operational hurdles and scaling considerations to support better estimates, plan, and approach for an enterprise rollout and launch
- Established a scalable repeatable model and AI Azure foundation for future AI use cases
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