Charlotte Hornets Fan Shop Case Study
The Charlotte Hornets are partnering with Safari AI to leverage their existing cameras to measure various real-time KPI’s to drive higher revenue without adding staff
Door Counts + Capture Rate
Monitoring door counts assists the Hornets in understanding busiest times in their shop, allowing for better resource allocation
Evaluating capture rates allows for A/B testing of different physical and online marketing tactics to draw more guests
Adult vs Child Detection
Understanding the types of customers throughout the entire game day helps the hornets target customers more effectively
Queue Metrics at Point of Sale (POS)
The Hornets will measure real-time guest dwell time at the POS to ensure that fans have a reliably fast experience buying merchandise without missing the game
The Hornets will have the option to upgrade to measuring AVG, Queue Size, Queue Wait Time, Queue Abandonment Rate, and Staff Detection at the POS without having to add any cameras or hardware
Taco Bell counts pedestrians at retail vacancies they're considering leasing
Taco Bell aimed to accurately measure pedestrian traffic in potential new locations before investing in leasing and setting up a new store. Without precise data on pedestrian traffic, it can be challenging to determine if a location is viable and has the potential to generate sufficient revenue.
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