E-commerce is quietly becoming one of the industries most transformed by AI. According to Stord, 74% of e-commerce leaders name AI as their primary driver for 2026. As more and more people prefer to shop online, e-commerce brands simply can’t afford to operate without AI anymore.
In this article, I’ll try to figure out how exactly AI helps retailers scale their operations, build a personalised experience for every customer, and unlock opportunities that once seemed out of reach.
Personalisation at Scale
71% of consumers expect personalised interactions, and 76% get frustrated when it doesn’t happen, according to McKinsey. For e-commerce brands that ignore this, it leads to lower sales and even complete purchase abandonment. But with AI, this problem can be solved quickly and easily.
AI is great at analysing huge amounts of data, and that’s exactly what makes personalised customer experiences possible. AI systems can review each client’s shopping and browsing history, identify patterns – and, based on that information, provide relevant recommendations and targeted campaigns.
Every interaction a customer has with your store, every search query, every scroll, every abandoned cart is a signal. But the reality is that many of the factors influencing your conversion rate sit outside your direct control: how frequently people buy your type of product, how long they naturally take to make a purchase decision, and the habits they bring before they ever land on your page.
But the most advanced platforms go a step further: rather than simply reacting to what a customer has done, they anticipate what a customer intends to do. This is the principle behind intent-based commerce – understanding the purpose behind a visit, a search, or a click, and shaping the entire experience around it in real time. The chances of a customer converting are far higher when the store adapts to their intent, not just their history.
To be honest, personalised recommendations aren’t new. Amazon, for example, has been using them since 2010, when it started recommending products to its customers through its “Customers who bought” widget. What has changed is accuracy: today’s AI recommendations go far beyond simple keyword matching.
“Over the past couple of years, we have further refined our search capabilities using AI, and our systems now better understand the intent behind a customer’s search. It’s not just about matching keywords anymore – it’s understanding what customers are actually looking to buy. This AI-powered approach is more effective and more comprehensive, better understanding the full context of what shoppers want,” writes the company on its official website.
Sephora is another strong example. The company uses AI-powered recommendation systems that adapt product suggestions based on individual preferences and behaviour. Sephora applies AI to customise the shoppers experience not only on its e-commerce platforms, but in physical stores as well.
“It was a sunny winter morning. A woman walks into a Sephora store in Paris. She doesn’t need to ask for help. Instead, she picks up a tablet, scans her face, and within seconds, receives personalized foundation matches, skincare suggestions, and a virtual lipstick try-on – all tailored to her unique skin tone and preferences.” Jitendra K. Jena, Chief Business Transformation Officer at Evsye Group, writes on LinkedIn.
AI is quietly reshaping the way we work. Teams can focus on decisions, creativity, and real human interaction. AI takes care of the heavy lifting in the background; people step into more strategic, thoughtful roles. The work doesn’t disappear – it changes, becoming faster, smarter, and a lot more human.
Sales 24/7
E-commerce stores don’t open at 8 am and close at 10 pm. They need to work 24/7.
In the offline world, we walk into a store, consult with sales assistants, leave complaints, exchange purchases that didn’t fit for something else, and get our money back. In e-commerce, all of this needs to happen too, just without a physical team standing by around the clock.
Today, sales departments can delegate a large chunk of their work to AI assistants. With AI-powered chatbots, you can not only answer customer questions, but also provide the personalised experience I described above. Thanks to technologies like automatic speech recognition, natural language understanding, and speech synthesis powered by LLMs, modern AI bots can hold meaningful conversations with customers and answer all of their questions.
According to research by the Institute for Business Value, 41% of consumers use AI assistants to research products, 33% to look for reviews, and 31% to search for deals.
If an assistant knows your context – and this is absolutely possible today; you just need to upload all the necessary information into the system – then it can provide specific, detailed, and customised replies, drizzled with politeness and eagerness to help (we all know how ChatGPT behaves these days).
Interestingly, you don’t have to limit these conversations to chat. With today’s AI capabilities, you can also offer voice support powered by LLMs. AI assistants can hold lively conversations with clients, think quickly, and provide accurate responses.
As a result, AI handles the flood of repetitive customer questions – freeing part of your team from this routine task, while ensuring that shoppers get an answer to their question instantly, without waiting for a consultant to become available.
Inventory management that thinks ahead
One of the coolest advantages of having AI in your e-commerce business is that it can predict the future.
Sometimes it’s really difficult to predict which goods will sell out quickly and which will end up gathering dust in the warehouse. AI systems can be extremely helpful for forecasting. They analyse multiple criteria: trends, seasons, weather, patterns, and even upcoming events that can influence customer interests. Take Easter, for example – when else do people buy chocolate eggs in such large numbers?
Over the past five years, I’ve seen real progress in how AI is used in supply chain and operations – particularly in forecasting, planning, and inventory. Tools that help predict demand, optimize stock levels, and automate replenishment are now becoming essential, especially as brands look to minimize waste and avoid costly stockouts.
According to Supply Chain Movement, around 60% of all warehouses now use AI, and it’s easy to understand why.
This ability frees employees from analysing long, boring spreadsheets and documents, and also makes calculations more accurate. Plus, AI is always on: it constantly adjusts to changing needs.
The advantage of this is huge. It reduces unnecessary production and shifts focus to goods that are actually in demand. In practice, this means fewer excess products, more of what customers want – and, ultimately, lower expenses and higher income.
Final Thoughts
AI now hands e-commerce businesses something remarkable: the ability to create, design, build, and bring any idea to life. But let’s be clear – AI in e-commerce is about more than gimmicks and vibe coding
Personalisation that feels human, support that never sleeps, inventory that thinks ahead, operations that scale without breaking – all of this is available today to any ecommerce brand. And it’s moving beyond the website and into the deeper machinery of commerce: demand forecasting, supplier coordination, warehouse logic, and fulfilment routing.
AI is enabling deeper knowledge and assistance across complex operations than most people realise. On the front end, it’s continuously optimising the components your customers interact with – search, checkout, product discovery, personalisation. On the back end, it’s bringing the same intelligence to the decisions that keep the business running: when to reorder stock, how to route a shipment, and where fulfilment is breaking down.
The business outcome follows: 89% of respondents in NVIDIA’s retail survey reported that AI has increased their annual revenue.
At Native Commerce, we’re building more than a platform for launching stores quickly. The idea is an e-commerce studio that allows businesses to create a store from scratch or optimisean existing one using intent-based, data-driven commerce components tailored to their audience – whether that’s a grocery retailer, a beauty brand, or something else.
The platform is designed to expand modularly beyond the storefront into operational layers like warehouse management, logistics, and fulfilment, supported by an AI-assisted experience built around a persistent prompt that evolves with the business.
We call it e-commerce without limits. And we’re just getting started.
