Seestone tasked me with creating their branding and AI-driven platform to centralise and analyse diverse data sources to empower fashion buyers. The objective was to replace subjective decision-making with data-driven insights, enabling more accurate predictions and efficient buying processes. I designed an intuitive platform that integrates data from various sources, such as demographic trends, design elements, and sustainability impacts, to provide a holistic view of potential inventory decisions. The Seestone platform provides a suite of tools that transform the traditional buying process: Data-Driven Decision Making: Utilises AI to analyse and synthesise data, offering buyers clear insights into potential product performance. Comprehensive Analytics: Measures key aspects of workplace design and their impact on business outcomes, supporting strategic buying decisions. Predictive AI Modeling: Employs advanced AI to forecast the success of new products, helping buyers to choose wisely. User-Friendly Interface: Consolidates all relevant information into a single platform, simplifying the decision-making process for buyers.