In this exclusive airport operations series, Unleash live shares details of our computer vision Use Cases within each stage of the Airport Passenger Journey. Today we take a look at Part 4 'Retail' and explore the exciting potential for revenue uplift and delivering an enhanced customer experience.
Curbside to Curbside Airport Passenger Journey
Airport Passenger Journey Workflow - Part 4: Retail
Part 4 - Retail Use Cases
Analyze footfall and dwell time
Footfall/Dwell Time
- Optimize your layout and design through a greater understanding of where your patrons traverse most often.
- Manage and publish queue times to better serve travelers
- Use data for lease negotiations, higher foot traffic yields greater revenue.
Analyze dwell time to inform staff rostering
Retail Operations
- Bring the power of AI to your Point of Sale to understand transaction times.
- Increase staff productivity with need-based rostering.
- Place promotions in the areas known for the highest traffic.
Detect shops with the highest traffic
Tenant Performance
- Identify retail outlets that perform better than others.
- Target problem areas of the airport and reconfigure revenue areas.
- Improve way finding for passengers towards specific outlets or precincts.
- Utilize trend analysis to attract new tenants and opportunities.
Identify gaze length on ads
Gaze Detection Time
- Count number of ad views.
- Deliver quantifiable and highly accurate reporting to ad customers.
- Increase revenue by accurately pricing high viewing areas.
- Detect potential retail security breaches through behavioral identification.
'How Cloud-Based Computer Vision Can Transform Airport Operations'
Unleash live's solution for the Airport industry
By leveraging existing cameras, airports can harness the power of computer vision to enhance operational efficiency, streamline processes, and ultimately improve the overall passenger experience in a multitude of ways
Read the full blog →
← Go to Part 3, 'Check In' Go to Part 5, 'Boarding & Transfers'→
