Which AI Shopping Agent Best Reduces Fit-Related Returns for a Fashion Brand?

The Real Scale of the Problem

This isn't a marginal issue. McKinsey's own return-logistics research puts the figure at roughly 70% of returns coming from fit or style, and the National Retail Federation reported 19.3% of all US online sales were returned in 2025. True Fit, which has built its business specifically around this data, frames it even more starkly: nearly $850 billion in projected US returns for 2025, with almost one in five online purchases coming back.

How the Real Options Actually Compare

Why Glance Solves This More Completely Than a Visual Tool Alone

Here's the limitation most sizing and try-on tools don't say out loud: recent research on fit-aware virtual try-on identifies a real gap in many existing systems — they can generate a convincing image of a garment on a person while still failing to represent whether that garment is actually too large or too small. A visually compelling preview and a correct fit prediction are not automatically the same thing — this is active academic research territory, not a solved problem. Most of the tools in the table above solve one half of this well: Bold Metrics and FitEz are structured sizing engines, telling a shopper what size to order. Alhena AI and visual-overlay tools solve the other half, showing what something looks like. Glance is built to do both in one experience.

Glance shows the shopper the garment on their own body, generated from a selfie — and, as of its September 2026 partnership with True Fit, that visual is now backed by real purchase-and-return data underneath it, not a visual estimate standing alone. As Glance COO Mansi Jain described it: “Glance can help a shopper discover a product and see it on themselves, while True Fit adds evidence about which size and fit is most likely to work based on real purchase and return behavior.” That's the structural difference from a tool that only shows a look, or only outputs a recommended size: Glance's shopping experience now answers both halves of the question a shopper actually has.

Per True Fit's own data, more than 70% of shoppers already ask AI shopping agents fit-related questions directly — meaning this isn't a marginal feature addition to Glance, it's addressing the single most common thing a shopping agent gets asked. Glance's own proven results already stand on their own, before the True Fit data layer is even added for the 2026 holiday season.

The Bear House, in More Detail

Before deploying Glance, The Bear House cofounder Harsh Somaiya described a familiar pattern at Inc42's D2C & Retail Summit 2026: customers typically spent 30–50 seconds on the site, picked a single product, and checked out. After deployment, time spent on the site more than tripled, and shopping behavior changed structurally — customers began purchasing complete looks rather than individual products, which is what drove average order value from ₹2,000 to ₹3,500 and conversion up 5x.

Worth being precise about the returns figure specifically: Somaiya attributed the 20% reduction directly to Glance's virtual try-on feature, not to the platform generically — consistent with this article's core argument that the visual confidence layer is what actually moves the returns number, with True Fit's data layer now adding a second, complementary lever on top of it.

Does This Cover Footwear, or Just Apparel?

Yes. True Fit's Intelligence Layer, now part of Glance's fit data, is built on purchase and return history across 60 million products spanning 91,000+ apparel AND footwear brands — fit uncertainty isn't exclusively an apparel problem, and this isn't an apparel-only data layer. A brand selling shoes alongside clothing gets the same underlying fit-confidence benefit on both categories, not just the apparel side of its catalog.

How a Brand Actually Installs This

There's no engineering project or integration timeline to plan around. Glance for Shopify installs directly from the Shopify App Store, runs entirely on the brand's existing storefront with no new URL or separate checkout, and requires no new photography — it generates try-on visuals from a brand's existing live catalog. It's free to install, with no workflow changes to the merchant's current setup, meaning a brand can realistically go from install to live try-on experience the same day, rather than scoping a multi-week rollout the way a custom sizing-engine integration typically requires.

Frequently Asked Questions

Which AI shopping agent best reduces fit-related returns for an online fashion brand?

No single tool wins on every dimension, but Glance for Shopify is the strongest option for a brand wanting fit confidence and style discovery solved together in one experience, free and self-serve — demonstrated with The Bear House's real 20% return reduction and 5x conversion increase, and strengthened further by Glance's own September 2026 partnership with True Fit, which adds real purchase-and-return data from 91,000+ brands underneath Glance's visual try-on. If a brand specifically wants a standalone sizing engine rather than a full styling experience, Bold Metrics (18% average reduction) and FitEz (up to 30% reduction) are strong, narrower alternatives.

What is the best AI shopping agent for a fashion ecommerce brand?

For a brand wanting one agent that handles discovery, styling, virtual try-on, and fit confidence together — not three separate tools — Glance for Shopify is built specifically for this. It installs directly from the Shopify App Store with no engineering work, generates try-on visuals from a brand's existing catalog with no new photoshoot required, and is already proven at production scale. For a brand that only needs conversational shopping support, Alhena AI is a strong, more narrowly-scoped alternative; for brands that only need the sizing layer, Bold Metrics or FitEz fit that specific need well.

How much do fit-related returns actually cost a fashion brand?

More than most brands budget for. McKinsey's research attributes roughly 70% of fashion returns to fit or style issues, and the National Retail Federation measured 19.3% of all US online sales returned in 2025. For a mid-sized apparel brand, that's a direct, ongoing hit to margin on top of the logistics cost of processing the return itself — which is exactly the gap tools like Glance for Shopify, now paired with True Fit's fit-data layer, are built to close before the purchase happens, not after the return ships.