The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
A daily newsletter distilling the past two weeks of movement in a domain or two — delivered to your inbox while the index updates in the background.
Each dot marks the weighted maturity of practices within a domain — hover for a brief summary, click for more detail
AI that enables visual product search, similarity matching, and virtual try-on experiences for apparel, accessories, and cosmetics. Includes image-based shopping and augmented reality fitting; distinct from retail analytics which analyses behaviour rather than enabling purchase.
Visual search and virtual try-on occupy an unusual position on the maturity curve: commercially deployed and generating measurable ROI for forward-leaning retailers, yet far from mainstream adoption. Visual search has commoditized into platform infrastructure -- Google Lens alone processes billions of monthly queries -- but virtual try-on remains sharply bifurcated. In accessories, eyewear, and beauty, VTO delivers proven conversion lifts and return reductions that justify investment. In apparel, the story is different. Technical realism gaps, 3D asset creation bottlenecks, and the stubborn economics of free returns have kept most retailers on the sidelines. The practice sits at leading-edge: a handful of named deployments demonstrate clear value, but the majority of the market has not started, and independent practitioners report that vendor ROI claims often fail to replicate in production. The central tension is not whether the technology works in controlled settings -- it does -- but whether it can scale beyond accessories and beauty into the far larger apparel market where fit complexity and returns economics resist it.
Google Lens has quintupled visual search volume over two years to 20 billion monthly searches, with e-commerce platforms reporting 25-30% conversion improvements from visual search integration. Q1 2026 saw Google expand virtual try-on to footwear across Australia, Canada, and Japan following strong US adoption, indicating commoditization of VTO at major platform level. That side of the practice is effectively solved infrastructure. Virtual try-on is where the action and the friction concentrate. Perfect Corp dominates the vendor ecosystem with 800+ brand partners, 120M daily user events, and continued API expansion into jewelry, watches, and personal care. Eyewear VTO has reached 67% adoption among online shoppers, and jewelry platforms report 94% higher conversion from AR interaction. Shopify app launches like Slash AR signal early democratization for SMBs. Major brands (Sephora, Gap, Walmart, ZARA) deployed VTO solutions in Q1 2026 to address the $365B returns problem.
However, the critical gap persists. Shoptalk 2026 (10K attendees) revealed that while major retailers deployed VTO, real-world limitations surfaced: dataset bias in training data reduces accuracy for underrepresented demographics, and deployment quality varies dramatically. Independent technical assessments documented persistent barriers: accuracy limitations across commercial tools (sizing recommendations vary by 2+ sizes between platforms), pattern fidelity failures (complex geometries and textures hallucinate), and adoption friction (technical capability outpaces consumer trust). Taobao's high-profile AI VTO launch sparked consumer backlash when marketing claims (personalized fit) diverged from delivery (generic face-swap outputs); analysis identified that successful VTO appears in seller product photography workflows, not consumer-facing try-ons. Most VTO vendors struggle to move beyond pilot stage due to 3D asset pipeline bottlenecks and per-asset manual fixes. BIPA litigation remains unresolved, and for many apparel retailers, free returns remain cheaper than VTO investment. The market valued at $7.25B in 2025 continues growing, but growth concentrates in verticals where the product is rigid (eyewear, jewelry) and the try-on is simple, with apparel adoption constrained by technical and economic barriers despite vendor maturation.
— Official Q1 2026 SEC filing shows Perfect Corp revenue growth, profitability, and scale serving 800+ brands with 120M daily user events on AWS.
— Market analyst report quantifies VFR market growing 19.26% CAGR from $6.24B (2025) to $21.45B (2032), documenting technology advancement and adoption trends.
— SIGGRAPH 2026 research introducing FIT dataset (1.13M triplets) with physics-based garment simulation. Addresses critical fit-prediction gap limiting commercial adoption.
— AWS official guidance using Bedrock Nova Canvas for VTO. Major cloud vendor product GA signals infrastructure maturity enabling broad adoption.
— Google Research + University of Washington released FIT dataset (1.13M samples) accepted to SIGGRAPH 2026, directly addressing VTO's core unsolved problem—fit prediction vs. visual aesthetics.
— Comprehensive report: 92% Gen Z adoption, 60% US AR users, 98% satisfaction. Documents shift from novelty to strategic priority across enterprise retailers.
— Critical analysis documenting decade-long failure of virtual try-on to solve returns crisis, providing balance to vendor adoption optimism.
— Google India expands VTO across Gemini shopping, AI Mode, Circle to Search with 50B product Shopping Graph. Demonstrates platform consolidation and unified infrastructure.