Provei.AI vs Wdrobe: e-commerce try-on or a personal wardrobe?

The difference starts with the person who needs to solve the problem

Imagine a shopper looking at a printed shirt. They already own a pair of light-colored trousers and want to know whether the pieces work together. Wdrobe describes exactly this kind of use: adding a store photo or screenshot, combining the item with their own clothes and visualizing the outfit on their own photo. Its value lies in connecting a possible purchase to what that person already owns, not in managing the retailer's catalog.

Now change the question: what does the brand need to offer everyone who visits that shirt's product page? The item's official reference, variants, measurements, try-on entry point and continuation of the purchase journey all come into play. This is the context in which Provei documents Fashion Try-On and its sizing features. The store is no longer evaluating just an image; it is evaluating an experience it will need to maintain.

Wdrobe's official FAQ presents it as a personal digital wardrobe with outfit suggestions and visualization. Its product page lists access on iPhone, Android and in a browser. So the distinction is not phone versus computer: using a service in a browser does not mean it is installed on your store's page.

Liking an outfit and choosing a size are different decisions

An outfit visualization can help answer whether you like a shirt with a particular pair of trousers. On its own, it does not answer which size of that shirt to buy. A convincing image does not demonstrate the ease in the actual garment, how the fabric behaves in motion or how the body corresponds to the manufacturer's size chart.

Wdrobe is direct about this: when asked whether it tells you which size to buy, its try-on page says no and directs you to the store's guide. This is a stated limitation of visualization, not a reason to deny the app's usefulness for putting outfits together.

Provei also separates the functions. Fashion Try-On handles visualization; Size Recommendation matches the data requested by the brand against registered sizing specifications. Having this feature in the portfolio does not mean every image contains a measurement, nor does it remove the need to confirm which modules will be purchased.

For the retailer, the practical consequence is clear: if questions center on choosing between two sizes, start with the quality of the size chart and sizing guidance. If the uncertainty concerns an item's visual appearance, explore visualization. The two can work together, but one should not be purchased as though it proved the other. Provei itself states that its recommendation does not guarantee fit: preferences, manufacturing variations and fabric characteristics still influence the experience.

Three scenarios that make the comparison concrete

The shopper wants to wear a purchase with what they already own

Someone wants to compare a shirt from your store with trousers and a coat bought elsewhere. Wdrobe documents this connection between store photos and a personal wardrobe. It is a legitimate reason to choose a personal app, even if they ultimately buy on your site. This does not prove that the retailer will receive data about that use or be able to track the order from it.

The brand wants to offer the experience within its own catalog

A multi-brand retailer needs to handle references and size charts from different manufacturers. Its decision involves where the feature appears, how each item connects to the correct reference and who is responsible when a collection changes. Provei documents the store context; the demonstration should clarify how it will apply to this operation. A supplier opening another brand's product and producing an image is not enough to complete the evaluation.

The operation needs to correct its information before adding an experience

If nobody knows which chart belongs to the shirt, or if the same description mixes body and garment measurements, the first investment may be organizing those records. Provei's Size Chart page highlights that these measurements are not interchangeable and must be clearly identified. Buying visualization, from any provider, does not resolve that missing information on its own.

These three scenarios are not a maturity ladder that eventually leads everyone to the same solution. They are different needs. Someone may prefer a personal app; a store may need a try-on; another operation may, for now, gain more clarity by publishing well-organized measurements. There is no need to turn all these decisions into a contest between brands.

The work of maintaining the experience also belongs in the decision

For personal use, the effort lies in gathering photos and clothes that make outfit combinations useful. For a store, there is different work: keeping the reference linked to the item, handling variants and updating data as the catalog changes. We did not measure how long these tasks take in either product. The decision point is identifying who takes them on, not claiming that one option is always simpler.

In the implementation conversation, turn broad terms into examples. If the requirement is to open on the product page, ask for that flow. If it is to use the selected variant, ask for an explanation of the link. If it is to recommend a size, ask where the sizing specifications come from and who is responsible for correcting the information. A sales answer about generating outfits does not answer those three questions.

Photos also deserve a concrete conversation. Wdrobe's privacy policy describes storage of original photos and copies, sending images to AI providers and storage of results. It states that photos and results are not used for advertising or to train its own models. This wording is not equivalent to saying that no image is stored or guaranteeing every practice of each provider involved.

For Provei, request the documents and terms applicable to the experience your store intends to offer. We do not make a security comparison here or infer a privacy advantage from sales material. In any project, clarify who receives the photos, for what purpose, for how long, with which access permissions and how deletion works. A store needs to be able to answer its customers, not simply be told that the tool uses AI.

A personal subscription is not a per-store implementation price

Wdrobe's page states that each try-on image consumes credits, that new users receive initial credits and that Pro adds more. It also states that Pro and credits are sold inside the apps through Apple's and Google's stores. This describes consumer usage terms, not a proposal to make the feature available to every visitor to an e-commerce store.

So it does not make sense to put a personal subscription on one side and a package for store operations on the other, choose the lower number and call it a saving. First, you would need to define the same task, audience, volumes, what is billed as usage and who pays for implementation and maintenance. When the work being purchased differs, a price comparison can be misleading even if both amounts are correct.

If you are evaluating Provei for your store, request a breakdown that names visualization, size charts, recommendations and any other features of interest, without assuming that all come in the same package. Clarify limits, overages, support and catalog responsibilities. If you are evaluating Wdrobe for personal use, confirm the offer and credits shown in your account. There is no need to turn one decision into the other.

Before taking the comparison into a sales meeting

Use these questions to find out whether there is an offering that meets your store's project requirements. They are points to confirm, not features we automatically attribute to any supplier.

• Describe where the experience needs to happen

  Record whether it must work within the product page or whether an external personal service meets the need. If staying in the store is mandatory, ask for a demonstration of that flow before discussing credits.

• Separate item visualization from sizing guidance

  Write down the output you need: an outfit on a photo, access to measurements or a suggested size. Ask for the data source behind each output and do not accept an image as proof of all three.

• Show how your catalog changes

  Bring an example of a product with variants and explain who updates photos and measurements. Ask for a description of how the integration maintains the correct reference and corrects incorrect links.

• Request evidence for the integration requirement

  Record documentation, scope and the technical owner. Do not turn a lack of public documentation into proof of nonexistence; keep the purchase pending if a mandatory requirement cannot yet be confirmed.

• Understand photo handling in the contracted flow

  Request the policy, providers involved, retention terms and deletion procedure. Check what applies to the store's customer, not just to the personal account of whoever gave the demonstration.

• Compare the same commercial unit

  Identify whether the price covers a person, a store or another scope, what counts as usage and which services are included. If the basis is not equivalent, record the difference instead of declaring the cheaper option.

A useful choice does not need a universal winner

If the goal is to discover combinations with your own clothes, Wdrobe has a documented proposition that fits that need. It can play a part in a purchasing decision by accepting store images without becoming an experience installed in the e-commerce store. Its sizing limitation is clear and needs to be respected.

If the goal is to offer visualization and sizing guidance to your store's visitors, the conversation with Provei should start with the catalog, platform and necessary modules. The decision can move forward only when the intended experience and responsibilities are clear. Choosing by context avoids buying a good answer to the wrong question.