30% More Accurate Forecasts, Lower OOS Rates With Planning in a Box: A Fashion Powerhouse’s AI Journey

A prominent luxury fashion brand renowned for its ready-to-wear clothing, shoes, handbags, accessories, and beauty products, serves consumers seeking high-end fashion and lifestyle items.

Solutions Implemented

The core objective of the data analytics initiative was to reduce stockouts using advanced analytics. We unified data from SAP CAR and SAP S/4 HANA into Google BigQuery, creating a central repository for client’s inventory and sales data. This unified data ecosystem was essential for supporting the sophisticated analytics required to understand and predict customer demand patterns.

Our approach leveraged several advanced analytics methodologies to extract actionable insights from the data. Key techniques included:

• Predictive Modeling (Vertex AI): Machine learning algorithms analyzed historical sales data (BigQuery) to forecast demand.
• Machine Learning for Stockout Prediction (Vertex AI): A tailored model predicted stockout dates for SKU-Store combinations, using algorithms to process complex data and estimate future stock levels.
• Historical Data Analysis (BigQuery): Analyzing past sales data uncovered trends to predict future demand, informing inventory management strategies.

Key Results

This luxury fashion brand’s journey with Planning in a Box is a powerful testament to how smart technology can solve traditional problems. Where developing custom solutions often takes months of R&D, this brand was able to address its forecasting and inventory challenges in just four weeks using Planning in a Box. With Planning in a Box, they are now evolved to bring in more data sources, analyze vast datasets in real-time, and address shifiting consumer demands with confidence. 

By embracing advanced analytics and integrating vast datasets, the brand significantly reduced stockouts, streamlined its inventory processes, and improved decision-making. This not only saved time and resources but also reinforced the brand’s commitment to satisfying the high expectations of its customers. As a result, the brand is better positioned than ever to meet demand efficiently and maintain its esteemed place in the luxury market.

Where developing custom solutions often takes months of R&D, this brand was able to address its forecasting and inventory challenges in just four weeks using Planning in a Box. This rapid adaptation not only streamlined their operations but also significantly boosted their ability to meet consumer demands efficiently, reinforcing their position in the competitive luxury market.