ShelfieTech Launches AI and Robotics Platform to Transform Retail Inventory Management

ShelfieTech Ltd. (CSE: SHLF) (OTCQB: SHLFF) has delivered an AI- and robotics-driven retail inventory platform designed to address long-standing accuracy and efficiency challenges in large-store environments. The company's proprietary machine-learning and computer-vision technology provides real-time insights that help retailers maintain consistent stock levels and reduce revenue losses from out-of-stock scenarios. Market statistics highlighting low human accuracy and high error rates in manual inventory validate the need for automated, data-reliable retail solutions.

Additional tools, including a mobile employee app, cloud-based management dashboard and built-in advertising capabilities, create a complete operational ecosystem. ShelfieTech is a technology company dedicated to transforming retail inventory management through automation and modern engineering. The company's vision centers on simplifying the future of retail by reducing the friction between people, shelves and data, enabling retailers to operate with greater reliability and responsiveness. Its mission is to create technology that elevates store performance while supporting employees with tools that remove unnecessary manual tasks.

Built on values of consideration, collaboration and efficiency, ShelfieTech focuses on solutions that enhance both operational flow and the human-technology relationship. The company emphasizes user-friendly design and thoughtful automation, ensuring that store teams are empowered rather than replaced by technology. ShelfieTech is led by an experienced management team with deep entrepreneurial, financial and technical expertise to support product expansion and commercialization. The latest news and updates relating to SHLFF are available in the company's newsroom at https://ibn.fm/SHLFF.

This announcement matters because it addresses critical inefficiencies in the retail sector where manual inventory processes lead to significant financial losses. The platform's real-time capabilities could fundamentally change how large retailers manage stock, potentially improving customer satisfaction through better product availability while optimizing operational costs. The integration of AI and robotics represents a shift toward data-driven decision-making in physical retail environments, which have traditionally lagged behind e-commerce in technological adoption. For investors and industry observers, ShelfieTech's approach signals growing momentum toward automating core retail functions that have remained largely unchanged for decades.