Nextail is an AI-driven merchandise planning and execution platform designed specifically for fashion retailers. By leveraging hyper-local demand forecasting and agile process automation, Nextail enables brands to sell more with less inventory. The platform processes over one billion SKU-level optimization decisions per season across 20,000 stores, aligning supply and demand in real-time to reduce markdowns and improve sustainability. Retailers using Nextail typically experience sales increases of 3-10%, 30% lower coverage levels, and 60% fewer stockouts, while also reducing leftovers and overproduction. Key Features and Functionality: - Hyper-Local Demand Forecasting: Utilizes advanced AI algorithms to predict demand at the SKU and store level, ensuring optimal product availability. - Agile Process Automation: Automates core merchandising operations, including allocation, replenishment, and inventory rebalancing, reducing manual tasks and increasing efficiency. - Omnichannel Inventory Management: Enhances product availability across online and physical channels by dynamically distributing stock based on real-time demand. - Inventory Analytics: Provides comprehensive insights into sales performance and inventory levels, enabling data-driven decision-making. - Store Operations Support: Offers tools to improve store performance through informed decision-making and better inventory control. Primary Value and Problem Solved: Nextail addresses the challenge of aligning inventory with fluctuating market demand in the fashion industry. Traditional merchandising methods often lead to overstocking or stockouts, resulting in lost sales and increased markdowns. By integrating AI-driven forecasting and automation, Nextail empowers retailers to make data-informed decisions, ensuring the right products are available at the right time and place. This approach not only boosts sales and reduces excess inventory but also enhances sustainability by minimizing overproduction and waste.