Most of the AI-and-ecommerce statistics circulating right now are exaggerated or missing the real story. A Forbes report from this month, backed by two separate industry surveys, found that retailers are increasing AI investment faster than they are building the ability to measure its returns. Separately, Adobe's large-scale analysis of AI-referred shopping traffic tells a very different, more interesting story than either the hype or the skeptics expect.
The Spending-vs-Proof Gap
Forbes reported this month on a 2026 Deloitte study of 200 retail and consumer-products executives: 82% plan to increase AI investment over the next 12 months, yet only 16.5% can actually quantify a return. Another third aren't even trying to measure ROI. A separate Blue Ridge Partners survey of 300+ consumer-industry executives found that retail respondents spent roughly $19 million on AI and commercial technology last fiscal year. That was more than non-retail companies spent, even though retailers expected substantially lower returns.
That's not a reason to avoid AI. It's a reason to be skeptical of anyone selling you a number without showing their work.
Revenue impact doesn't always show up as an immediate jump in sales. It can also show up through better conversion, fewer returns, faster merchandising, lower operating costs, and more efficient use of customer and product data, all of which eventually reach the bottom line.
What 1 Trillion Real Visits Actually Show
Adobe Analytics analyzed more than 1 trillion visits to U.S. retail sites across over 200 of the top 2,000 online retailers. Their findings for 2026 point to a more interesting conclusion than either the hype or the skeptics expect: AI-referred traffic to U.S. retail sites grew 393% year over year in Q1 2026, and by March, that traffic was converting 42% better than non-AI traffic (paid search, email, everything else combined).
A year earlier, in March 2025, AI-referred traffic had converted 38% *worse*, an 80-percentage-point improvement in its relative conversion performance in twelve months.
The growth is real, and so is the conversion advantage. That part isn't hype.
But Adobe's own data also exposes the actual bottleneck: retail homepages average only 75% AI readability on Adobe's content visibility scoring, meaning a meaningful share of their content may not be fully accessible or understandable to the AI systems referring that traffic.
Product pages, where purchase decisions actually happen, score even lower at 66%.
These are Adobe's own visibility scores, not a universal industry standard, but they provide a useful signal of how prepared retailers may be for AI-driven shopping traffic.
The traffic is growing, but many retailers still aren't prepared to capture its value.
What's Hype vs What's Real
| Claim | Verdict | Evidence |
|---|---|---|
| Retailers have this figured out | No | Deloitte: 82% increasing AI spend, only 16.5% can quantify ROI |
| AI-referred traffic to retail sites is exploding | Real | Adobe: 393% YoY growth in Q1 2026, based on 1 trillion+ visits |
| AI-referred shoppers convert better | Real | Adobe: 42% better conversion than non-AI traffic by March 2026 |
| Most retail sites are ready for AI shoppers | No | Adobe: product pages average only 66% AI readability |
| Connecting disconnected systems is where the ROI is | Consistent | Zalando's strongest AI gains extended across connected workflows |
The more accurate picture: the opportunity is real and growing fast, but most retailers are spending without measuring, and most sites aren't even readable by the AI-referred traffic they're chasing.
A Real Company's Numbers
Zalando, Europe's largest fashion ecommerce platform, reported its actual 2025 results to investors in March 2026, an earnings release with named executives attached, not a vendor case study.
AI-powered product matchmaking drove a 13% increase in items added to bags.
Size & Fit AI, trained on real body measurements from over a million customers, cut size-related returns by more than 8%.
AI-generated product content scaled from near zero to 90% of output in one year, cutting campaign creation time from six weeks to days.
Zalando's reported gains extend well beyond its customer-facing assistant, especially across content, product discovery, size and fit, and logistics.
The Zalando Assistant itself grew to 6 million users too, a real and meaningful part of the picture, just one piece of a much bigger connected system rather than the whole strategy.
3 Places to Actually Start
The best first use of AI is usually the one you can measure clearly, improve quickly, and expand once it works.
●Check Whether AI Can Actually Read Your Site
Run your homepage and top product pages through an AI content visibility check. Adobe's data suggests many retailers are losing a meaningful share of AI-readable content without knowing it.
Start with the pages closest to a purchase decision: product detail pages, category pages, delivery information, returns, and comparison content. Track whether the same pages become easier for answer engines to understand and cite.
●Decide What You're Measuring Before You Spend
Only 1 in 6 retailers in the Deloitte study can quantify their AI return.
Pick one metric - conversion rate, reporting time, or return rate - before signing anything.
A metric gives the project a finish line. Without one, a polished demo can look like progress while the underlying economics remain invisible.
●Look at Your Back Office Before Your Storefront
Where is someone manually moving numbers between your store, your payment processor, and your accounting software?
That gap may be a more reliable starting point for measurable ROI than a customer-facing chatbot.
Not sure where to start? Axonari maps disconnected systems before recommending AI. See how we approach AI systems projects
How Axonari Helps
CloudFO's project, connecting Shopify alongside Xero, QuickBooks, Amazon, and several banks into one real-time system, is the back-office version of this exact pattern.
Where to Start
The real data doesn't say AI is useless for ecommerce; it says the opposite: the opportunity is bigger and faster-growing than most realize.
It also says most retailers are spending without measuring, and most sites aren't built to be read by the AI-referred traffic they're chasing.
Start with the part of the business where you can measure the change, not simply the part where AI looks most impressive.
Quick Checklist
Sources
Forbes, Retailers Are Spending Millions On AI. Can They Prove The ROI? Read the report, September 2026, citing Deloitte and Blue Ridge Partners research.
Adobe, Quarterly AI Traffic Report. Read the report, based on 1 trillion+ visits across 200+ top U.S. retailers.
Zalando SE, Full Year 2025 Results. Read the investor release, official investor relations release, March 2026.