AI for Merchandising: Applications, Implementation, and Benefits

Coresight Research estimates that retailers lose 4.5% of their gross sales annually due to in-store inefficiencies, underlining key merchandising shortfalls in modern retail operations.

For example, inaccurate demand forecasting can lead to out-of-stock or unsold inventory, while a lack of granularity in forecast data can lead to ineffective localization and poor planogram plans.

AI is transforming retail, and our report reveals how top retailers are achieving unrivaled accuracy in demand forecasting, inventory management, and assortment planning by leveraging external data like local weather and social trends.

Learn how AI can boost profitability by predicting demand with precision, optimizing stock levels, and offering hyper-localized shopping experiences. Walmart, H&M, and Zara case studies highlight real-world success in AI-driven merchandising.

Get practical guidance to manage adoption challenges and position your business ahead. Essential reading for retailers aiming to reduce stock issues, meet customer demand, and stay competitive with advanced forecasting.