Style Arcade

Every fashion season begins as a bet. A buyer decides how many dresses to order, in which colors, and - the question that quietly decides the margin - in which sizes. For most of the industry, that bet has been placed inside a spreadsheet. Style Arcade exists because one of its founders spent years making exactly those bets by hand and decided there had to be a better instrument.

Michaela Wessels started her career in 2006 as a merchandise planner, first at South African retailer Truworths and later across the fashion trade. "Everything was manual - everything was spreadsheets," she has said of the work. The core tasks of buying and planning - how much to buy, how to break it across sizes, when to reorder - were governed by formulas stretched across fragile workbooks that no two teams built the same way.

In 2018, Wessels founded Style Arcade in Sydney to replace that improvisation with software. She met engineer Tristan Hoy at an investor event and recruited him as technical co-founder and CTO. Their split - a retail insider paired with a builder - is the pattern behind many durable enterprise startups, and it shaped a product that behaves less like a dashboard and more like a workspace.

"Style Arcade is like our own virtual merchandise planner." - Pip Edwards, Founder, P.E Nation

The platform's premise is unification. It ingests a brand's scattered signals - sales, stock, purchase orders, product imagery and web analytics - from systems like Shopify, Peoplevox and Google Analytics, and assembles them into a single visual source of truth. On top of that data it layers recommendations: how many units to buy of each style, how to shape the size curve, and what to reorder while a season is still trading.

That last point matters more than it sounds. Getting the size curve wrong is one of retail's most expensive mistakes: a brand loses the sale when the popular size runs out, then pays again to process the return of the size nobody wanted. Style Arcade applies what it calls True Rate of Sale logic at the size level to chase near-total availability on key SKUs. Customers report returns down roughly a third on average and size accuracy above 95% within a year.

"So good that we didn't have to adapt to it." - Rachel White, Buyer, David Jones

The customer list is unusually broad for a company its size. Luxury houses and department stores - Ralph Lauren, David Jones, Tibi, Rag & Bone - sit alongside direct-to-consumer disruptors like Princess Polly, White Fox and Monday Swimwear, plus performance and Australian heritage labels including Lorna Jane, 2XU, Seafolly and P.E Nation. What unites them is not aesthetic but arithmetic: they all must decide what to buy, how much, and in which sizes.

Style Arcade's growth has leaned on that shared need rather than on a large sales force. Wessels has credited a majority of the company's growth to word of mouth, with a single salesperson for much of its early expansion. Ninety-five percent of customers, the company says, are live within five weeks - a low-friction onboarding that turns users into references.

In late 2022 the company raised roughly A$8 million in a Series A led by US firm Acadian Software, with Angel Investors Marlborough participating. The capital funded a move abroad: Wessels relocated to New York to lead North American expansion, and the company opened a London presence. Surveying the US market, the founders found mostly spreadsheets and one meaningful competitor - what they described as a wide open playing field.

Where Style Arcade fits, then, is a specific and unglamorous seam of retail infrastructure: the buying and planning layer that sits between a brand's raw data and its seasonal decisions. It competes less with a single named rival than with the default tools - Excel and generic business intelligence - and with a handful of assortment platforms such as Toolio, NuOrder and Increff. Its wager is that fashion merchandising is distinct enough to deserve software built specifically for it, by people who have done the job.