5 Ways AI for Ecommerce is Revolutionising Personalised Shopping in 2025
- Lydia Mansi
- May 5
- 2 min read
The evolution of AI for ecommerce
In the ever-competitive world of e-commerce, personalisation is no longer a luxury - it’s an expectation. Thanks to AI’s rapid development, 2025 has seen a major leap in how businesses tailor shopping experiences to individual customers with the use of AI for eccomerce. If you’re an e-commerce business owner looking to stay ahead, here are five simple, actionable ways AI can help you create a shopping journey your customers won't forget.
1. Intelligent Product Recommendations
Gone are the days of ‘customers who bought this also bought that’ banners. AI algorithms now analyse browsing history, purchase behaviour, and even real-time website interactions to make hyper-targeted suggestions.
Tip: Integrate an AI-driven recommendation engine (like Dynamic Yield or Klevu) that updates suggestions based on live user behaviour. You’ll see an uptick in both basket size and conversion rates.
2. Dynamic Pricing Strategies
AI doesn’t just personalise the products - it can personalise the price, too. Dynamic pricing tools adjust your prices based on customer demand, competitor pricing, and even the time of day. Action Tip: Start using ai for ecommerce product pricing with tools like Prisync or Omnia Retail to test dynamic pricing models on your best-selling products. Trial a small segment first to monitor customer response without risking your margins.
3. Predictive Customer Service
AI-driven chatbots have levelled up. Rather than answering questions reactively, they now predict customer needs based on journey data - offering assistance before shoppers get frustrated.
Action Tip: Deploy a chatbot like Drift or Tidio with predictive capabilities. Programme it to offer size guides, FAQs, or discount codes automatically when customers linger too long on certain pages.
4. Personalised Email Campaigns
Blanket email blasts are out. AI now enables you to send individually curated emails - think product recommendations, birthday offers, or even replenishment reminders (especially effective for beauty, supplements or consumables).
Action Tip: Use platforms like Klaviyo or Dotdigital to create AI-segmented email flows. Start with a cart abandonment series that's fully tailored based on cart contents and browsing history.
5. Voice and Visual Search Integration
Shopping is becoming more intuitive - and AI is driving this with voice and visual search technology. Customers can now say or snap what they want rather than typing it.
Action Tip: Optimise your product listings for voice queries (think “men’s vegan running shoes size 10”) and explore tools like Syte or ViSenze to introduce visual search on your site.
In a Nutshell? AI personalisation isn’t just the future - it’s the now. The good news? Many tools make it simple for even small to mid-sized UK businesses to offer a bespoke shopping experience. Start with one tactic from the list above and build from there. Your customers - and your bottom line - will thank you.
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This article captures the exciting potential of AI to transform personalized shopping experiences in eCommerce. From smarter recommendations to real-time customer engagement, the impact is far-reaching. Interestingly, the same AI-driven innovations are revolutionizing internal operations across industries. Many businesses are now exploring how to use AI for project management to automate scheduling, enhance forecasting, and improve decision-making. It's a forward-thinking move that helps teams deliver faster and with greater precision in a competitive market.