Case Study: Global Cosmetic Company achieves improved stock accuracy and customer insights with Wipro

Product Assortment & Enhanced customer experience for one of the world’s largest cosmetics companies

Global Cosmetic Company, a leading cosmetics and chemicals brand, was looking to improve on-shelf availability, reduce out-of-stock situations, and gain better customer insights from sales, shipment, and sentiment data. The company worked with Wipro to build AI/ML-driven forecasting and analytics capabilities, including a more holistic view of structured and unstructured customer feedback.

Wipro implemented a centralized data framework that consolidated retailer data into a single source of truth, added NLP-based sentiment analysis, and enabled item-level forecasting for 1,500 SKUs. As a result, Wipro helped improve POS reporting by 25%, raised forecast accuracy to 85%, reduced stock-outs, and delivered real-time, actionable insights for sales and marketing teams.