Why Retail’s AI Revolution Depends on Greater Network Resilience
Retail is fast becoming one of the economy’s most technology-driven industries. Artificial intelligence at checkout, computer vision for loss prevention, real-time analytics, dynamic pricing, personalized promotions, and seamless fulfillment now shape the in-store experience. More than just points of sale, stores are now data-driven and intelligent at all times. Behind every new technology, one dependency cannot fail: the network.
Today’s retail stores function like distributed data centers. Point-of-sale terminals, cameras, shelf sensors, kiosks, digital signage, mobile devices, customer-facing apps, and store Wi-Fi all depend on persistent connectivity to centralized platforms. Data must flow in real time between stores, edge systems, and cloud services for AI-driven decisions to work as intended. When the network breaks, revenue stops flowing immediately. Industry surveys show that 84 percent of organizations have experienced an increase in network outages over the past two years, driven by growing complexity across highly distributed environments.
The financial impact of these disruptions is substantial. More than one-third of businesses report annual outage costs between $1 million and $5 million, a figure that escalates rapidly across hundreds or thousands of store locations. Beyond direct revenue loss, outages disrupt employee workflows, delay fulfillment, and erode customer trust. For retailers operating on thin margins, even brief disruptions can undo the gains from automation and AI.
Many retailers address this risk by using redundant circuits or backup internet service providers. While redundancy helps protect against connectivity failures, it doesn't address the most common causes of store outages: misconfigurations, device failures, firmware issues, or local network problems. When the primary network fails under these conditions, IT teams often lose visibility and control entirely. Nearly 80 percent of IT and operations leaders say meeting customer expectations has become harder due to continued outages and system disruptions, particularly in industries like retail, where operations are widely distributed and lightly staffed.
As stores adopt more AI-driven systems, the tolerance for downtime effectively drops to zero. Computer vision systems stop detecting theft. Automated inventory updates fall out of sync. Dynamic pricing engines pause. Loyalty programs fail to personalize offers. Self-checkout lanes go offline during peak traffic. AI doesn't degrade gracefully when connectivity is lost; it fails fast, often in ways that directly impact shoppers and frontline associates.
To support this new reality, retailers are rethinking how they architect store networks. Independent access pathways, separate from production traffic, allow IT teams to remotely diagnose and restore systems even when the primary network is unavailable. These approaches provide a reliable way to regain visibility, correct configuration issues, and recover services without dispatching technicians to every location. As a result, retailers can resolve incidents faster, reduce reliance on onsite staff, and significantly lower the need for costly truck rolls across distributed store footprints.
This shift is already measurable. Nearly 30 percent of organizations are expanding edge deployments, moving compute and intelligence closer to stores to support real-time decision-making. At the same time, about one in four are prioritizing independent access and recovery capabilities to ensure they can support distributed operations when failures occur. Together, these trends reflect a broader realization: Beyond being a technical preference, resilience is an operational requirement.
To remain competitive, retail leaders must act now and prioritize network resilience as a strategic imperative. Invest in infrastructure that anticipates disruptions, empowers IT teams to recover quickly, and protects the customer experience. The ability to scale AI and deliver consistent service depends on preparation, not hope. In the fast-evolving retail environment, make resilience your next decisive move.
Dan Baxter is director of sales engineering, Americas, Opengear, a single, integrated platform designed for teams responsible for uptime, security, and operational efficiency.
Related story: How Retailers Are Rethinking Connectivity to Drive Competitive Advantage
Dan Baxter, Director of Sales Engineering, Americas, Opengear
Dan Baxter is a seasoned out-of-band (OOB) professional with more than 20 years of experience in network resilience and management. As Director of Sales Engineering for the Americas at Opengear, he leads the U.S. Sales Engineers and Solution Architects teams. Dan's extensive career includes senior roles at Sentilla, Rackwise, and Emerson Network Power. At Opengear, his focus is on helping hyper-scale and enterprise customers find practical applications for OOB solutions, ensuring network resilience, reducing complexity, and delivering tailored advice for NetOps, DevOps, and SD-WAN environments. His commitment to innovation and customer satisfaction makes him a trusted advisor in the rapidly evolving field of network engineering.





