Cutting-edge computing


Soft sales in retail

IDC predicts that by 2023, more than 50% of new enterprise IT infrastructure Deployment will be at the edge Rather than in enterprise data centers, it will increase from less than 10% in 2020. By 2024, the number of edge applications will increase by 800%. This growth is led by many industries: Edge computing supports innovation in retail, healthcare, and manufacturing. For example, retailers can deploy video analytics technology on edge computing nodes or storage and network-enabled hardware close to their store locations, enabling them to predict theft.

Paul Savill, senior vice president of product management, said: “The video analytics system runs at the edge and analyzes customer actions to detect predictable theft in real time.” Due to speed and cost, this workload is not suitable for public cloud and technology company Lumen For services, the company provides an edge computing platform. There is no need to deploy edge computing at every retail location. “From a centralized node in a market area, such as the scale of Denver, edge computing can provide services to more retail locations within five milliseconds,” Savill said.

When it comes to labeling certain behaviors, there may be consumer privacy issues. However, with the right approach (such as anonymization), this type of application can become an important tool in the arsenal, because many retailers are affected by the lockdown and restrictions following the 2020 coronavirus pandemic, making it difficult to find profitable Mode of Operation.

“From a centralized node in a market area, such as the scale of Denver, edge computing can provide services to more retail locations within five milliseconds.”

Paul Savill, Senior Vice President of Product Management, Lumen

Gap is a large US retailer with revenue of $16.4 billion in 2019 and is an early user of edge computing. One of its biggest edge use cases is the cash registers or other points of sale in its more than 2,500 retail stores, where millions of transactions are processed. Edge computing enables Gap to obtain near real-time data on sales performance. During the pandemic, Edge helps retailers keep track of how many people are in their stores.

Shivkumar Krishnan, director of engineering at Gap Store, said: “The compliance rules for the number of shoppers allowed in stores are changing according to the pandemic situation in each state and each county,” referring to regulations designed to limit the number of customers. The spread of deadly diseases. “So, in order to ensure that capacity is not exceeded, we must ensure that occupancy rates are measured in near real time.”

According to Krishnan, processing data on edge nodes eliminates many points of failure from stores to the cloud, including all points of failure in switches, routers, telecommunications circuits, and the cloud provider itself. The edge provides retailers with the complete ability to process all transactions in any store, and they will only go to the cloud when the edge fails. Krishnan can remotely monitor and manage most of the more than 100,000 devices used by retailers for sales and other store operations.

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