Online Retailers Are Betting Big on AI Agents. Is Their Resilience Keeping Up?

It’s almost that time — long lines, crazy sales, and the mad dash to check everyone off the holiday shopping list. While the in-store holiday rush can send many into a frenzy, more shoppers are making their purchases online, searching, comparing, and buying from the comfort of home.

In response, online retailers are increasingly leaning into agentic artificial intelligence to make the shopping experience easier, faster, and more intuitive, ultimately driving more conversions. From product discovery and recommendations to customer service and transactions, AI agents are taking on more autonomous responsibilities, and it’s paying off. During the 2025 holiday season, retailers that deployed their own native shopper-assist agents saw 59 percent higher sales growth than sites without dedicated shopping agents.

However, the more retailers rely on AI agents to drive revenue, the greater the risk when those agents aren’t available. That risk is especially acute during the holiday season, when retailers have a limited window to capture peak demand. During this period, even a short disruption can mean abandoned carts, missed transactions, frustrated shoppers, and lost sales. As AI agents become some of retailers’ most valuable digital assets, resilience can no longer be an afterthought. Retailers need to be prepared to keep business moving if those agents are suddenly taken offline.

Whether faced with a cloud outage, a cyberattack, accidental deletion, or another disruption, retailers need a disaster recovery plan that can get their AI agents back online and functioning properly quickly and completely, with minimal disruption to customers and revenue. Yet many running their production environments in the cloud assume that backing up their underlying cloud infrastructure is enough to protect their AI agents, potentially leaving critical gaps in their recovery strategy.

For a traditional e-commerce application, disaster recovery typically means restoring infrastructure, databases, and application code. AI agents introduce another layer of complexity, including memory, configurations, guardrails and integrations. If that environment is lost and can’t be fully restored, retailers risk losing the very knowledge and context that made the AI agent valuable, much like losing a highly trained sales representative with deep institutional knowledge of their customers, products, and business rules.

That distinction matters even more during the holiday rush. Restoring an agent’s availability, including the infrastructure underneath an agent, does little good if the agent comes back without the memory, guardrails and more it needs to properly serve customers. And when every minute of downtime can represent missed opportunities, retailers can’t afford to spend hours or days manually rebuilding those capabilities while shoppers move on to competitors.

With the 2026 holiday shopping season approaching, retailers need to evaluate their current AI recovery plans to ensure they can fully restore AI agents. Taking a closer look at resilience strategies helps them identify gaps and implement practical improvements to protect their conversion-driving capabilities.

This should include testing to determine whether all the necessary pieces can be restored together into a fully functioning AI agent. Regular validation can help them feel confident that failure won’t erase the capabilities they've spent months building, ensuring they can recover AI agents’ complete operating environments, with memory, guardrails and and other interdependencies intact.

The future of e-commerce may be increasingly agent-driven, and this should inspire retailers to be proactive about their AI resilience strategies. Retailers don’t have the luxury of waiting out prolonged downtime or rebuilding critical systems from scratch. Before trusting AI agents to power more of the shopping experience, retailers need to know they can recover them when they’re needed most so they can keep serving customers and capturing the revenues that make this season so critical.

Doug Neumann is the co-founder and CEO of Arpio, a leading automated cloud disaster recovery platform.