Designing product that drives retail decisions

Style Arcade: turning data into decisions

Company

Style Arcade

Role

Product Design Lead

Expertise

Product design · UX

Year

2022 - 2024

Style Arcade analytics platform overview, showing assortment performance across a fashion retailer's range — FIG. 01The platform retailers plan against: assortment, performance and forecasting in one view.

Introduction

Style Arcade is a SaaS platform that helps fashion retailers optimise assortments, forecast demand, and boost profitability. As Product Design Lead I worked directly with the CEO to turn strategic ideas into product, designing features that shaped retailers' buying, pricing, and markdown decisions and lifted the platform's commercial value.

Assortment planning & forecasting

Buy Calculator

Facilitates purchasing decisions for new products, re-ordering best sellers, or maintaining core lines. The AI-powered calculator provides recommendations based on colour, seasonality, and visual attributes to ensure optimal stock levels.

Design solutionDesigned a guided calculator flow that turns dense buying data into one clear recommendation, with the reasoning behind it visible so buyers can trust the number and act on it.

Buy Calculator recommending order quantities, with the colour, seasonality and sell-through data behind the number — FIG. 02One clear recommendation, with the reasoning visible so buyers can trust the number.

Size Calculator

Helps identify the ideal size distribution across regions, brands, and categories, keeping stock in the most demanded sizes while minimising markdowns on less popular ones.

Design solutionDesigned interactive size-curve visualisations that surface over- and under-stocked sizes at a glance, so teams can rebalance inventory before markdowns hit.

Size Calculator showing size-curve distribution across regions, with over- and under-stocked sizes highlighted — FIG. 03Size curves that surface over- and under-stocked sizes before markdowns hit.

Ecommerce & retail

Retail Trade Analytics

Custom reporting for individual retail locations, covering sales, returns, and stock levels, so in-store teams can visually analyse product performance and make informed decisions.

Design solutionMade the analysis more visual using maps and heat points, so users can quickly tell where a location is performing well.

Retail Trade Analytics mapping store performance, with heat points marking strong and weak locations — FIG. 04Maps and heat points make location performance readable at a glance.

Returns Insights

Detailed analysis of return reasons like fit, quality, and sizing, combined with customer feedback to help teams improve product offerings and satisfaction.

Design solutionDesigned an interface that aggregates return data into a digestible format, using cues like a crown icon to highlight what's performing best.

Returns Insights breaking down return reasons by fit, quality and sizing, with best performers crowned — FIG. 05Return reasons aggregated into something teams can act on, with the best performers called out.

Results

The features drove measurable improvements in operational efficiency and decision-making for Style Arcade's clients:

Increased sales. Optimised assortment planning and forecasting contributed to higher full-price sales and reduced markdowns.
Enhanced customer satisfaction. Insights from the Returns feature helped address common issues, improving product quality and fit.
Faster design delivery. A scalable Figma design system cut design time by 25% and kept a third-party design team consistent and on brand.