AI E-commerse Shopping SaaS Analytics Platform
Mark Barliet
What Problem They Came to Us With
The internal team lacked a fast, user-friendly way to analyze the market. Currently, they spend too much time manually checking competitor products and identifying trends.
They needed a tool that would allow them to quickly find the bestsellers, popular colors, and silhouettes, either by brand or across the market. It had to be visual, easy to use for non-technical staff, and fast-loading.
What We Were Asked to Deliver
A first version of the MIR web platform with clear navigation, fast access to AI-analyzed data, simple filters, and a clean visual structure. It needed to show both quantitative and qualitative insights, like charts of top colors and images of best-selling items.
How We Solved the Problem
We designed an intuitive and lightweight interface that lets users search by brand, silhouette, or color. Based on the keyword, the system automatically shows either market-level or brand-specific insights. Users can see bestsellers with product details, view color and silhouette rankings, apply time filters, and download visual PDF reports.
We included a placeholder for a future AI feature that will allow users to generate new designs using Leonardo.ai. The UI is minimal, responsive, and optimized for performance, ensuring it works smoothly for designers and salespeople without any technical background.
Key Features of the Platform
Search by keyword (brand, color, silhouette), view detailed brand pages with top products and rankings, explore market-wide trends, download reports, and prepare for upcoming AI design-generation functionality.
Design Goals
The interface should be as simple as possible, focused on data clarity and speed. It must be accessible, consistent, and usable by non-technical internal teams.
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Posted Sep 25, 2026
What Problem They Came to Us With The internal team lacked a fast, user-friendly way to analyze the market. Currently, they spend too much time manually checking competitor products and identifying trends. They needed a tool that would allow them to quickly find the bestsellers, popular colors, and silhouettes, either by brand or across the market. It had to be visual, easy to use for non-technical staff, and fast-loading.
