Quantifying Point of Sale Telemetry Latency in Retail Edge Computing Environments
Retail edge telemetry latency stems from driver contention and serialization overhead, causing inventory desynchronization when local queues exhaust uplink capacity.
Retail Edge Computing
Meaning
Decentralized data processing at the physical location where data is generated allows for immediate analysis without the need for a distant data center. Retail edge computing enables stores to run sophisticated artificial intelligence models on local servers to track shelf stock and customer movement.
Network Reliability
Operations that rely on a constant internet connection are vulnerable to outages that can shut down a business. With retail edge computing, a shop can continue to process payments and manage inventory even if the connection to the central headquarters is lost.
Privacy Protection
Processing video feeds or sensor data locally reduces the amount of sensitive information that must be transmitted over the public internet. Using retail edge computing allows a brand to analyze shopper behavior while keeping the raw data within the physical walls of the store.
Bandwidth Saving
Sending high resolution video to the cloud for analysis is expensive and consumes significant network capacity. Retail edge computing filters the data at the source and only sends relevant summaries (which lowers the cost of maintaining a connected store network). This reduction in data traffic also decreases the latency of the system because the round trip time to a remote server is eliminated.