Augmented reality and virtual try-on tools address one of e-commerce's oldest limitations — the inability to physically try a product before buying — and are becoming increasingly accessible beyond flagship fashion and beauty brands.
The problem AR and virtual try-on solve
Online shopping's fundamental limitation compared to physical retail is the inability to physically try, wear or place a product before purchasing — this uncertainty drives both purchase hesitation (reducing conversion) and returns (when the delivered product doesn't match the customer's expectation of fit, appearance or scale). AR and virtual try-on technology directly address this gap by letting customers visualise a product on themselves or in their own space before buying, closing at least part of the experiential gap between online and in-person shopping.
Virtual try-on for fashion, beauty and eyewear
Virtual try-on technology, using a customer's phone camera and increasingly sophisticated computer vision, lets shoppers see how makeup shades, glasses frames, or clothing items look on their own face or body in real time — this has moved from an experimental novelty to genuinely mainstream functionality in beauty (widely adopted for lipstick and foundation shade matching) and eyewear categories, with fashion apparel try-on (harder technically, given the complexity of fabric drape and body shape variation) advancing more gradually but still meaningfully.
AR for homeware and furniture
AR furniture placement tools (using a smartphone's camera to visualise a piece of furniture at correct scale within a customer's actual room) address a particularly high-return-risk category — furniture and larger homeware purchases frequently involve returns due to sizing or fit misjudgement, and AR placement tools directly target this specific failure mode. IKEA's AR app was an early, widely recognised example, and the underlying technology (built into platforms like Shopify's AR Quick Look integration) has become increasingly accessible to smaller retailers without the need for a large in-house development investment.
Practical implementation options for smaller retailers
Implementing AR and virtual try-on no longer requires large-scale custom development — platform integrations (Shopify AR, various dedicated try-on apps for beauty and fashion categories) provide accessible entry points for smaller retailers, generally requiring well-prepared 3D product models or specific photography rather than a full custom development project. Evaluate whether your specific product category has mature, accessible AR/try-on tooling available before assuming this technology is only viable for large, well-resourced retailers — beauty, eyewear and furniture in particular now have relatively mature, accessible options.
Measuring the impact on conversion and returns
Where implemented, AR and virtual try-on features should be measured specifically against both conversion rate (do customers using the feature convert at a higher rate than those who don't) and, importantly, return rate for products where the feature was used versus not used — since return reduction is often the more financially significant benefit of this technology, even more so than any direct conversion uplift, given the substantial cost of processing and restocking (or writing off) returned goods covered in our returns cost article.
Realistic expectations and adoption curve
While AR and virtual try-on technology continues to mature and become more accessible, adoption should be weighed against genuine customer benefit and implementation cost for your specific category and product range — not every product category has a meaningful AR/try-on use case, and implementing the technology purely to appear innovative, without addressing a genuine customer pain point specific to your products, is unlikely to deliver a return justifying the investment.
Putting This Into Practice
As with most things covered in Market Insights & Future Trends, virtual try-On and augmented reality in digital storefronts works best when it's revisited periodically rather than decided once and forgotten. We cover this in more detail in The Metaverse and Virtual Storefronts: A Realistic Assessment for Retail Brands, which is worth reading alongside this piece.
It's also worth remembering that being early to a genuine shift in UK retail can be a real competitive advantage, but being early to a trend that never materialises at scale carries a real cost in wasted budget and management attention. Testing new approaches on a small, contained budget before committing meaningfully is usually the more resilient strategy.
The businesses that benefit most from tracking Retail Tech & AI tend to build a lightweight, regular habit of it — a monthly review of a handful of trusted sources — rather than a one-off deep dive that goes stale within a quarter. Retail trends compound and shift gradually more often than they arrive as sudden, unmissable events, so consistent attention beats occasional intense research.
Finally, treat this kind of market intelligence as an input to decisions your business already needs to make — pricing, product range, channel mix — rather than a topic to follow for its own sake. The value of understanding Retail Tech & AI shows up when it changes what you actually do next quarter, not in how much of it you can recite.
For related reading: Many of the same principles come up again in Hiring Virtual Assistants for Customer Service and Data Entry in Your Online Store, which is worth bookmarking for later. We cover this in more detail in Synchronising Inventory Across Physical and Digital Sales Channels, which is worth reading alongside this piece. For the practical mechanics, see Voice Commerce and Conversational Shopping Trends.