Case Study: Global Conglomerate Company achieves better supply chain efficiency and higher margins with Capgemini

Generative AI delivers better supply chain management for global conglomerate

Global Conglomerate Company, a multinational manufacturing business, was struggling with warehouse losses caused by unexpected shifts in consumer demand and market changes. To address demand mismanagement and stock value loss across its global supply chain, it partnered with Capgemini to improve forecasting and warehouse decision-making using Google Cloud.

Capgemini implemented a generative AI-based chatbot and forecast engine built on Google Vertex AI and Google Cloud. The solution delivered faster, data-driven insights into demand and inventory, helping the company proactively manage stock, reduce storage costs, and improve margins. The proof of concept showed stronger warehouse logistics and more efficient supply chain planning, with the potential for global rollout.