Size Bay Alternatives
When your returns start creeping up, and customers complain about difficulties to choosing the size, many retailers think: “Maybe I need a better size recommendation tool.” You try what others offer, like Size Bay or quiz-based tools, hoping they’ll fix the gap. But too often, the fix turns out to be partial. This is the story of how the top sizing tools compare and why Prime AI PRO is giving you what others promise but rarely deliver.
Maria, owner of a swimwear brand, installed a quiz-based size tool last year. At first it seemed helpful: new customers answered height, weight, maybe chest size, and got guided on what size to pick. But after a month, her returning customers had to re-enter those same details. Her data was locked inside the quiz widget; she couldn’t push that info into her CRM or use it to personalize newsletters. No visible drop in refunds to improve business profitability.
That’s a pattern many retailers see:
- Quiz tools affect only ~20-30% of orders.
- Not all customers actually follow the recommendation. Does you size recommendation tool provider tell you what % people ordred the recommended size?
- Data about customer’s inputs (height / weight / fit preferences) often isn’t stored or usable for other purposes.
- Brand or color variants of the same product often fit differently, but most sizing recommendation tools treat them the same. Because their technology is not smart enough to detect sizing variations at colour level.
Real-life market research backs this up:
On G2, GetApp, Software Advice many tools similar to Size Bay are listed as alternatives to Prime AI, such as 3DLOOK, MirrAR, AstraFit. These often focus on either virtual “try-on” or static quizzes/measurements only.
So the question becomes: what does “better” look like?
The Common Loop
Key Gaps in Other Tools
From comparing publicly listed alternatives, common limitations include:
- Limited Data Ownership: Many apps don’t let retailers pull in (or retain) customer-input data (height, fit preferences, previous sizes, etc.). Without this, the retailer loses the ability to personalize or use that data downstream.
- Repetition / Friction for Return Visitors: Returning customers may need to input measurements again, or re-take quizzes. This reduces trust and engagement.
- One-size-fits-all Assumptions: Tools that ignore product ID or color variant differences. For example, a red shirt and a blue shirt that are nominally the same SKU might have slight differences in fabric stretchability, cut or in general preference of people in different body shape. Most quiz tools don’t account for those.
- Low Coverage: If only a small portion of orders are influenced (because only new users use the quiz, or users don’t follow recommendations), the reduction in returns is diluted.
- Lack of Transparency: It’s rare for tools to share metrics like “of users who saw size recommendation, how many actually ordered the recommended size? What was the return rate just among those?” Without that, claims about “return reduction” often hide the fact that many didn’t follow the recommendation.
Why Prime AI PRO Stands Out
Here’s how Prime AI PRO solves the above limitations, with real strengths and some published user data:
Zero-Input Experience for Returning Customers
- No quiz, no measurement entry ever. Prime AI uses past purchases, return history, and product‐specific learnings to recommend size automatically with ~99% accuracy.
- This means much higher coverage of orders (50-80%) are influenced, not just the first time a customer shops. You’re no longer only helping new customers but leveraging the majority of your traffic.
Quiz for New Customers, Enhanced by Real Outcomes
- New buyers still get guided via quiz inputs, but the logic behind the quiz is dynamic. It learns from returns, sales, product variations, colorways, etc.
- So over time, this quiz becomes better, more accurate, reducing “wrong size” picks that lead to returns.
Full Data Ownership & Transparency
- All customer-entered data, plus return reasons, purchase history, etc., are yours. You can push them via API to your CRM, loyalty tools, or personalization engine.
- Prime AI provides dashboards showing how many users ordered what was recommended, and the return rates of those orders, giving you real insight, not just marketing claims.
Handling Product & Color Variants
- Prime AI recognizes that the same SKU in different colors or factories may fit differently, and corrects for that.
- It also gives warnings (“this color tends to run small”, “this style fit tight at chest”) when confidence is high, nudging shoppers proactively ,something few tools do.
Customizable UI & Brand Fit
- Custom visuals for the sizing widget to match your site. Tailorable quiz questions. Front-end experience that feels like it belongs to your brand.
- Plus APIs so you can integrate sizing logic into other workflows: email, recommendations, loyalty, etc.
Real Return on Investment
- Prime AI clients report ~35% lower refunds by customer who have ordered the recommended size, +15% average order value, and improved conversion rates (3-10%) depending on price point. These numbers matter.
- For every £1 spent, many clients get ~£8 back in profitability (less returns, more confident purchases).
Comparing Other Tools & When They Might Still Be Useful
- There are cases where tools like Size Bay or simpler quiz tools are “good enough”:
- Small startups wanting to test the market and get started cheaply.
- Low-SKU catalogs where product variance is minimal (e.g. just one fit/style, same factory).
- When your margin is large enough that even modest return reductions still cover tool cost.
But even in those cases, Prime AI may pay off faster because of its broader coverage and fewer limitations.
What You Should Ask Yourself / Ask Your Provider
When evaluating sizing tools, consider asking:
- How much of my traffic/orders will actually be influenced by size recommendation? (If only new customers, maybe 20-30%, that may not move the needle.)
- Do I get to store customer sizing data permanently (with consent) so I can use it across marketing, CRM, loyalty?
- Do our returning visitors need to enter their details or measurements? Or is there zero-friction?
- Does the tool adjust recommendations by SKU, color variant, style differences?
- Do I get to see metrics like “orders placed where recommendation was followed” and “returns on those orders”?
- How customizable is the front end / design / UI so it looks like part of my brand?
Prime AI PRO
If your goal is performance, reduced returns, and long-term ROI, Prime AI PRO is the standout choice. It solves the common failings of similar tools: limited data, low coverage, static logic, and lack of transparency. Yes, it may cost more, but it delivers more, and that increased cost becomes profit when returns drop and customers trust your sizing.
If you’re serious about moving your return rate metrics, boosting conversion, and making your sizing tech an asset rather than a cost, Prime AI PRO is the sizing tool for you.
