The holiday shopping season may still feel far away, but many of the decisions that will inform the customer experience in November and December are already being made. Retailers are actively planning inventory, staffing, fulfillment strategies, and promotional calendars. AI readiness should be part of that same timeline.
Too often, automation is treated as a late-stage fix for holiday volume spikes. Retailers add chatbots and automate workflows shortly before peak season with the expectation that efficiency gains will follow quickly. In practice, rushed implementations often cause problems at the worst possible moment and undermine the very benefits they were meant to deliver.
Findings from the Liveops 2025 Holiday AI & Customer Service Report highlight the potential for automation to improve the customer experience, as well as the pitfalls retailers need to be mindful of. Eighty-five percent of consumers who encountered AI during the holiday season said it made service faster or more accessible. They cited 24/7 availability, speed, and convenience as top benefits.
On the other hand, more than half (55%) escalated an AI-handled issue to a human agent, and 45% said the system failed to understand their problem. That may be why only 29% say AI improved their experience. Speed and convenience without resolution don’t translate into satisfaction.
To overcome these challenges and reap the benefits of automation, retailers need to start developing AI readiness now.
Customer Trust Is the Real Challenge
Speed alone doesn’t create confidence during the holidays. Customers want reassurance that their issue will be resolved accurately and efficiently, especially when purchases carry emotional or financial importance.
This is where poorly designed AI systems struggle. Customers become frustrated when automation repeats generic answers, misunderstands context, or blocks access to human help. Those interactions damage trust quickly because they occur during already stressful moments.
Transparency also matters. Sixty-nine percent of survey respondents want companies to reveal when AI is being used, but only 22% said that companies disclosed this information during the 2025 season. Consumers increasingly want to know when they are interacting with AI and when a person is available to step in. Clear escalation paths and visible human support help reduce anxiety when problems become more complex.
Trust becomes especially critical during high-volume periods because customers have little patience for uncertainty. A delayed shipment or incorrect order may already create tension. An ineffective automated interaction can amplify that frustration.
Retailers preparing for peak season should evaluate their AI systems through that lens. Instead of focusing on whether AI can respond quickly, they should prioritize systems that make customers feel supported when situations become complicated.
AI Works Best When It Supports Human Expertise
The strongest AI strategies are rarely fully automated. Automation performs best when it handles repetitive tasks and reduces operational headaches for both customers and agents.
Routine requests such as order tracking and account verification are often strong use cases for automation. These interactions are structured, repeatable, and time-sensitive. AI can improve speed and accessibility in these scenarios.
Complex interactions require a different approach. Billing disputes, delivery failures, emotionally charged situations, or sensitive customer concerns still benefit from human judgment and empathy. AI can support these interactions by gathering context and routing customers efficiently, though human agents remain essential to resolution.
This distinction matters because the holiday customer experience is rarely defined by routine moments. Customers remember how companies respond when something goes wrong.
Retailers that use AI to strengthen human support rather than replace it are more likely to maintain trust under pressure.
AI Readiness Is Operational, Not Just Technical
One of the biggest misconceptions around AI adoption is that readiness is primarily a technology question. Many organizations focus heavily on model selection, platform integration, or chatbot deployment while overlooking operational design.
Effective AI systems depend on strong workflow and clear escalation logic. Support teams must be aligned so that each interaction meets similar standards. A high-performing AI system requires governance around data access, customer privacy, and decision-making boundaries. They also require workforce preparation. Teams need to understand how to work alongside automation effectively.
These operational elements take time to build. Retailers preparing for the holidays should ask broader questions now. Is AI connected to the right systems and workflows? Are escalation paths clear when confidence levels drop? Do support teams know when to intervene and how to recover customer trust after an automated failure?
Addressing these questions early makes it possible to scale successfully during peak season.
A Gameplan for AI Readiness
Holiday AI readiness will require a deliberate process that gives teams time to identify risks, test workflows, and prepare for peak demand before it arrives.
Phase 1: June and July — Diagnosis
The first step is understanding where friction already exists. Retailers should review the previous holiday season to identify recurring pain points, including escalations, abandoned interactions, customer complaints, and service bottlenecks. The goal is to identify three to five workflows where AI can deliver meaningful value. By the end of this phase, organizations should have a prioritized list of opportunities and a clear understanding of the problems they’re trying to solve.
Phase 2: August and September — Controlled Testing
Once priorities are established, retailers can begin testing AI workflows in lower-risk environments using real customer interactions. This is the time to evaluate resolution rates, escalation triggers, customer sentiment, and operational impact. Testing should focus on learning instead of scale. Weaknesses that are uncovered in August are far easier to address than issues discovered during the holiday rush.
Phase 3: October — Stress Testing and Handoff Preparation
Before peak season begins, retailers should simulate high-volume scenarios and examine how automation performs under pressure. Particular attention should be paid to human handoffs. Agents need clear guidance on when to intervene, and transitions from AI to human support should feel seamless from the customer’s perspective. The handoffs are crucial because they often determine whether automation builds confidence or creates frustration.
With this approach, retailers should be entering peak season with workflows that have already been tested, refined, and proven in real-world conditions.
The Window for Holiday AI Readiness Is Open
The holiday season may still feel months away, though the decisions that shape customer experience outcomes are already underway. Retailers that start preparing now have a stronger opportunity to make AI trustworthy and operationally resilient before demand spikes arrive.
AI will continue playing a larger role in retail customer experience. Use the months ahead to test thoughtfully, refine workflows, and strengthen the connection between automation and human support.
Holiday readiness begins long before the first seasonal promotion launches.
