Keeping Your Catalog Try-On Ready, All Year

Readiness Is a Practice, Not a Launch Task

It is tempting to prepare the catalog for virtual try-on once, at install time, and call it done. But a catalog is not static: products arrive through the year, collections rotate with the seasons, and the imagery, charts, and pairings that made launch day work quietly age. Try-on readiness is better treated the way you treat inventory accuracy — an ongoing merchandising practice with an owner and a rhythm. The practice has four strands, and this post takes them in turn: product imagery you calibrate empirically rather than by rulebook, size charts maintained as part of the catalog itself, bundles reviewed as collections turn over, and analytics used as the feedback loop that shows where the practice is slipping. None of it is heavy. The photo flow itself — one uploaded photo, a result on the product page in about 20 seconds — makes checking a product cheap enough to fold into the workflows you already run when new stock lands.

An Empirical Standard for Product Imagery

Clear, consistent product photography is good merchandising with or without try-on, and it is the natural place to start. But be careful about where your standard comes from. The app listing does not publish a specification for product imagery, so the honest way to build a standard is empirical: run your own products through the try-on flow and look at the results. In practice that means treating your first weeks with the feature as a calibration period. Take products photographed in different styles — flat lay, on-model, mannequin, varied backgrounds — and compare how each comes through. Note what you observe, write it down as your house standard, and label it as the product of your own testing, so the team knows to re-verify over time rather than treat it as vendor doctrine. The standard then becomes part of the photography brief. When you shoot new arrivals or rework old listings, the try-on check is one more line in the review, alongside color accuracy and crop.

Check New Arrivals Before Shoppers Do

The single most useful habit is also the simplest: before a new product goes live, run it through the try-on flow yourself. The flow takes one uploaded photo and returns a result on the product page in about 20 seconds, so a full check on a new arrival costs a minute, not an afternoon. Fold it into the product-upload checklist next to the steps you already do — title, price, inventory, images. The person publishing the product uploads a photo, looks at the result, retries once if something seems off, and either publishes or flags it back to whoever owns imagery. Because the retry and feedback controls sit right on the page, flagging needs no separate tooling. One budgeting note: paid plans carry monthly photo credit allowances with per-credit overage pricing, and the listing does not spell out how a merchant's own test runs are counted, so it is worth checking how internal checks draw against your allowance before making them routine. The alternative to checking new arrivals at all, though, is finding problems out from a shopper — which costs more in every way.

Size Charts Are Catalog Data

Looksy's Size Help works from your own size charts, which puts the answer in the hands of the people who know the fit best — but it also moves the maintenance burden onto the catalog. A chart is catalog data the same way a price is: when it is missing or stale, the shopper-facing answer degrades silently. Treat charts as a required field in practice, even where your workflow does not enforce one. New products get a chart before they go live. Products whose fit changes with a new supplier or a re-cut get their chart re-checked. And once a season, someone walks the catalog looking for gaps: categories added in a hurry, one-off products, listings imported from an earlier era of the store. Ownership matters more than tooling here. Support will field the fit questions, but they can only relay what the charts say, so accountability for chart quality belongs with merchandising and should be named in whatever internal documentation you keep.

Bundles Rotate When Collections Do

Bundles & Upsells earns its place when the pairings reflect what the store is actually selling this season, which makes it another item on the merchandising calendar rather than a set-and-forget configuration. A bundle built around a summer collection reads differently in November, and a retired product lingering in a pairing is a dead end you built yourself. Tie the bundle review to the events that already restructure your catalog: a collection launch, a seasonal changeover, a clearance push. At each one, walk the active pairings and ask two questions — is everything in this bundle still available, and is this still the pairing we would choose today?

Analytics can sharpen the second question. Because Looksy reports what shoppers try on, add to cart, and buy, you can see which products are drawing try-on attention and consider whether your current pairings put the right companions next to them. That turns bundle maintenance from a chore into a small merchandising decision made on evidence.

Let Analytics Show You Where the Practice Slips

A year-round practice needs a feedback loop, and the analytics built into Looksy is the natural one: it shows what shoppers try on, what they add to cart, and what they buy. Read regularly, those three lists tell you where the catalog is earning attention and where something may be off. The useful review is comparative. A product that gets tried on but rarely added to cart deserves a second look — at its imagery, its size chart, its price, the quality of its try-on result — because something between the try-on and the cart is losing people. A product that never gets tried at all may simply sit in a layout where shoppers do not encounter the feature. The analytics will not tell you which explanation is right; it tells you where to spend your next check. Close the loop on budget as well. Paid plans carry monthly credit allowances with per-credit overage pricing, and billing runs usage-based through Shopify, so seasonal peaks in try-on activity show up in consumption. Watching the same numbers for both merchandising signal and credit pacing lets one review cover both.

Facts in this post come from the public Shopify App Store listing for Looksy. Last checked 29 July 2026.