Wishi sells the one thing your closet is missing: a second opinion

A closet can be full and still feel empty. The jacket is good. The trousers are good. Together, somehow, they suggest a person attending the wrong meeting. Buying another jacket is one response. Asking someone who understands clothes is another. Wishi has made a business out of that second response, turning the familiar plea, “What should I wear?”, into a service you can book on your phone.

The clothes were never the scarce part

Karla Welch’s clients have included Justin Bieber, Tracee Ellis Ross and Sarah Paulson. But friends and family also wanted her advice. In Wishi’s origin story, she describes a shopping world with seemingly endless dresses and jeans, yet little help choosing. Her answer, developed with Clea O’Hana, was to bring the process of understanding a client’s body, needs and closet to an online audience. Her compact philosophy: “good clothes open doors.”

There was already a technology business underneath the idea. Wishi’s earlier platform predates its September 2019 premium-service launch. A founder interview describes O’Hana working with digital-marketing specialist Lia Kislev and technology founder Aya Elhanan. O’Hana saw two groups with complementary needs: people asking for styling advice and freelance stylists with gaps between projects. Matching them offered a way to sell expertise in smaller, more accessible appointments.

That is an appealing market observation. An enormous selection can make a shopper’s job harder. A stylist earns the fee by narrowing possibilities and explaining how pieces belong together. The customer need not be ignorant of fashion. Knowing what you like and knowing what to do with it are different skills.

First the mood. Then the merchandise.

Wishi starts with a style quiz and a stylist match. The customer supplies preferences, size, budget, lifestyle and occasions. The stylist then sends an inspirational mood board. Its pictures establish direction; they are not products waiting for checkout. After feedback comes the shoppable outfit board, with specific items and links. Revisions let the customer reject a choice and ask for another.

The sequence matters. “Minimal” might mean beautifully spare to one person and painfully dull to another. A board gives both parties something concrete to discuss. Wishi’s help center separates inspiration from purchasable looks, allowing a conversation about taste before the conversation about spending begins. It is a useful pattern for any service translating a vague preference into a consequential recommendation.

The customer can also upload clothing already in the wardrobe. A stylist can incorporate those pieces rather than prescribe a fresh start. The practical attraction is obvious: the neglected jacket gets another chance. Wishi’s advertised uses range from work and school drop-off to vacations and events. These are ordinary scheduling problems with a wardrobe attached.

The price of a second opinion

On Wishi’s public pricing page, Mini costs $60 and includes two style boards, chat, a mood board and revisions. Major costs $130 for five boards and adds closet styling. Lux costs $550, with an introductory 30-minute call, up to eight boards and unlimited messaging. The escalation is about the scope of help and access to a stylist. It is not an allowance for clothing.

The buying process has changed. Wishi’s August 2026 instructions say that it stopped placing product orders on July 15. Customers now follow recommendations to retailers, which take payment and manage shipping, returns and refunds. Styling fees do not automatically become shopping credit. Wishi also says its stylists receive no sales commissions on recommended products. Those distinctions help explain what the customer is paying for: research and advice, followed by a separate purchasing decision.

A department store learns to listen online

A retailer has a related problem. A website can display thousands of items without knowing why a visitor came. Wishi sells businesses a way to introduce guided shopping, using quizzes, curated looks and conversations. Its consumer service can search across retailers; an embedded retail service helps shoppers navigate a partner’s merchandise. The same expertise serves a different buyer.

Farfetch announced its Wishi-powered Style Advisor in February 2021. The pilot was available to selected loyalty customers in the US and UK. In January 2022, Saks launched Saks Stylist, powered by Wishi, as a complimentary service for its customers. Saks supplied the shopping destination; Wishi supplied technology and styling expertise. A consumer paying for advice and a retailer offering advice free can both support the business.

“People have forgotten how to dress”

Karla Welch, on the Glossy Fashion Podcast, May 2021

The pandemic made that problem unusually literal. Welch described customers asking for closet cleanouts, then Zoom-friendly clothes, then help dressing to go out again. The service adapted to the occasion rather than demanding a fixed reason to shop. Wishi’s place in fashion technology sits here: organizing human assistance around digital inventory, alongside clothing-box services, independent stylists and retailers’ own personal shoppers.

The useful part is the conversation

The model suits someone willing to share preferences and react to suggestions. It offers less value to a shopper who enjoys the hunt, dislikes remote collaboration or needs to try everything physically. Retailer shipping coverage and return policies still matter. A carefully chosen outfit cannot make an unavailable size appear.

Operationally, the software needs attention too. In a recent public update, Kislev described accumulated complexity making changes difficult and prompting a platform rebuild with AI coding tools. The final fifth took about twice the expected time and resources. That is management’s account, rather than a measured engineering benchmark, but it offers a useful corrective to easy promises about automation.

The repeatable lesson is smaller and more practical: establish direction, invite correction, then recommend. Wishi packages that conversation into something a customer can buy. A full closet may need another purchase. It may also need somebody who can look at the jacket, look at the trousers, and suggest changing the shoes.