Black Friday and Christmas have always been driven by volume. More traffic, more browsing, more last-minute decisions. Brands focused on getting seen and converting as much demand as possible. Now, AI is starting to change the game – and it’s doing it quietly, before customers even land on your site.
Shoppers are now using artificial intelligence to research products, summarise reviews and narrow down options before they even reach an eCommerce website. That means fewer touchpoints and faster decisions, which changes how demand shows up during peak season.
For eCommerce brands, this affects visibility, purchasing behaviour and what happens after checkout.
1. AI Is Changing How People Choose Products
AI in eCommerce is reducing the need for traditional browsing. Instead of opening multiple tabs and comparing options, shoppers can now ask AI to recommend the best product based on reviews, price and preferences.
That changes how decisions are made. Customers are often presented with a shortlist of 1 or 2 products and go straight to them, without the usual back-and-forth of comparing endless options. Research shows that over 60% of shoppers are already using AI tools to research products before buying, with many relying on summaries rather than reading full reviews. By the time they land on your site, they are already close to making a purchase.
Personalisation and AI Use in Shopping Decisions
AI is also acting as a personal shopper, using AI algorithms and behavioural data to drive personalisation. It pulls from previous searches and buying behaviour to suggest products that feel tailored. This makes online shopping quicker, especially during busy periods like Christmas, when people want fast answers and expect everything to work smoothly with minimal effort.
There is a downside – and it’s not always obvious at first. Products with strong data, clear product descriptions and high review volumes are more likely to be recommended by AI models. Larger brands tend to benefit from this, while smaller or niche products can be harder to surface.
During Black Friday eCommerce periods, this becomes more obvious. Shoppers are under time pressure and focused on deals, so AI recommendations carry more weight. If your product isn’t included early, it becomes much harder to compete later.
2. Faster Purchases & the Return Risk
When AI use removes most of the research stage, the gap between interest and purchase becomes much smaller. Shoppers can move from idea to checkout quickly, with fewer pauses to think things through.
That can improve conversions for any eCommerce business, especially during peak periods. Fewer distractions mean fewer abandoned carts and more completed orders. In some cases, AI-driven product recommendations have been shown to increase conversion rates by up to 20%, particularly during high-intent periods like Black Friday.
The trade-off is confidence. Faster decisions do not always lead to better ones, as the product may not match expectations when it arrives. That’s where returns start to increase, placing more pressure on operations, particularly when an AI system has sped up the purchase decision. No wonder the spike in eCommerce returns after Black Friday catches so many brands out!
The Risks of AI in eCommerce Purchasing Behaviour
The trade-off is confidence, as faster decisions don’t always lead to better ones, especially as the product may not match the customer’s expectations when it arrives.
That’s where returns start to increase, placing more pressure on operations, particularly when an AI system has sped up the purchase decision. That’s significant, given that eCommerce return rates can already reach 20-30% depending on the category, meaning even small increases have a noticeable impact on stock handling, processing time and the customer experience.
For brands selling on Amazon, higher return rates can also affect performance metrics and visibility, making it even more important to make sure products are prepared and shipped correctly, especially when using FBA prep services. When handled poorly, returns lead to delays and frustration, quickly undoing the positive experience created at checkout.
When handled poorly, they lead to delays and frustration, undoing the positive experience created at checkout.
For brands, this makes product clarity more important. Accurate descriptions, strong imagery, and honest reviews help reduce uncertainty before a purchase.
3. What This Means for Peak Season Demand
AI is likely to concentrate demand rather than spread it out. If shoppers are guided towards a small number of recommended products, those items will see sharper spikes in sales.
That creates a challenge for peak-season planning, particularly around demand forecasting and stock allocation, as demand becomes harder to predict in real time. This has led many brands to focus on improving their stock control processes ahead of peak.
AI Technologies and Changing Demand Patterns
During Black Friday and Christmas, this becomes more noticeable. Products can sell out faster than expected, while others sit untouched. If stock isn’t aligned with demand, it leads to missed sales and unhappy customers.
Having clear visibility into stock levels helps brands react quickly as AI enables faster, more concentrated buying behaviour. Strong inventory management reduces the risk of running out of bestsellers while slower-moving products take up space.
In addition, when brands work to improve stock control, they are better positioned to plan for demand spikes, avoid overordering and keep operations running smoothly during peak periods. When everything moves faster, small gaps in planning surface very quickly.
4. How Brands Can Use AI Across the eCommerce Journey
AI is changing how customers shop and how brands run their eCommerce operations. Adoption is moving quickly, with a growing number of eCommerce brands already using AI tools across marketing, customer experience and operations to stay competitive.
At the marketing stage, AI for eCommerce can help refine product listings, improve product descriptions, and enhance visibility, making them easier to understand and recommend. Clear titles, structured descriptions and strong reviews all increase the chances of being surfaced.
On-site, AI supports better search, AI chatbots and product recommendations that improve the overall eCommerce customer journey. Helping customers find what they need quickly reduces friction and keeps them moving towards checkout.
AI Use Case: Forecasting & Demand Planning
Behind the scenes, AI is becoming more useful in forecasting customer demand and planning, often powered by natural language processing and predictive AI models.
A common use case is using AI to predict demand and adjust stock levels before peak periods begin. It can highlight trends in customer behaviour and support better decisions around stock levels and replenishment, which is key when you are working to optimise your wider logistics setup.
It can also improve operations, from picking efficiency to delivery routing, as brands begin to integrate AI into their logistics processes. AI can improve picking efficiency, support route planning and help select the right delivery options. This is where it overlaps with the wider role of eCommerce fulfilment, which covers everything from stock handling to delivery and returns.
Newer developments like generative AI in eCommerce and agentic AI are also emerging, with AI agents handling tasks like customer queries, recommendations, and order updates without manual input. Generative AI alone is expected to play a major role in how brands create content, personalise experiences and automate decisions over the next few years.
Delivery still matters once the sale is made. Even if AI helps a customer choose faster, a poor delivery experience can undo that. Courier choice needs to match customer expectations, product type, and delivery speed, which is why comparing courier options can help shape a more reliable shipping setup.
5. What AI in eCommerce Means for Black Friday and Christmas
Using AI in eCommerce, including tools built on generative and advanced AI technologies, is speeding up how people shop and narrowing the choices they make. Decisions are happening earlier, product visibility is changing and demand is becoming more concentrated.
For Black Friday and Christmas, that changes how peak season is approached, with many brands now adapting their strategy to reflect how customers interact with AI technologies. It’s no longer only about driving traffic, but about showing up at the point where decisions are made and making sure your product is easy to understand, compare and trust.
Faster decisions can lead to stronger conversions, but they also raise expectations. Stock needs to be in the right place at the right time, delivery needs to be reliable and the overall experience needs to hold up, especially when peak season volumes are at their highest.
The brands that handle Black Friday and Christmas well will be the ones that combine strong product visibility with solid operations behind the scenes. When everything moves faster, consistency becomes the real advantage.
6. How Delta Fulfilment Supports Peak Season Growth
When demand becomes less predictable, having control over your operations makes a big difference. Being able to see stock levels in real time, react quickly to changes and keep orders moving is what stops peak season from turning into damage control.
That is where a reliable eCommerce fulfilment service fits in. From stock management through to dispatch and delivery, the right setup helps you stay consistent even when volumes spike.If you are planning ahead for Black Friday or Christmas and want your fulfilment to keep pace with how customers are now shopping, you can get a quote and see what support would look like for your setup.