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Reduce Idle Time for Hub-Based Delivery Operations
Last Updated: Oct 30, 2025
In hub-based delivery models like "dark stores," inefficiencies often stem from idle clustering of riders—not actual agent scarcity—leading to inflated surge pricing, poor workforce utilization, and customer dissatisfaction. Pattern Al's RiderTrack, powered by EdgeVision, uses edge-optimized computer vision and Al to detect idle clusters,verify agent presence via facial recognition,and correlate activity with weather and demand data.
Tags
Artificial Intelligence
Intel® Core™ Processor
Machine Learning
Retail
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