The AnyFleet Robotics Management Platform was developed by inmind.ai for idealworks.

Background

Idealworks, a Munich-based company, specializes in scalable robotics ecosystems designed to automate and optimize material handling and logistics operations. Their autonomous mobile robot (AMR) solution, iw.hub, streamlines workflows in shared spaces. However, managing large fleets of robots in dynamic environments posed challenges in coordination, efficiency, and operational safety. Idealworks required an advanced system to manage robot interactions, reduce collisions, and enhance logistical performance.

Challenge

With increasing operational complexity, idealworks needed a comprehensive fleet management system for its iw.hub robots. The goal was to improve coordination in shared workspaces, minimize collisions, optimize navigation routes, and efficiently allocate tasks across fleets. Without an integrated system, robot traffic flow was disrupted, leading to inefficiencies, longer idle times, and increased operational risks.

Solution

Inmind.ai collaborated with idealworks to develop AnyFleet, an AI-driven platform designed to streamline robot fleet management and IoT interactions. This solution improves traffic flow, reduces operational disruptions, and integrates seamlessly with Warehouse Management Systems (WMS) and Enterprise Resource Planning (ERP) systems for optimized decision-making. By dynamically allocating tasks and managing robotic workflows, AnyFleet ensures smoother operations and real-time performance monitoring.

Impact

The deployment of AnyFleet has transformed workspace automation for idealworks. The platform enables efficient robot coordination, dynamic task allocation, and optimized navigation, resulting in reduced idle time and balanced workload distribution. Managers now gain real-time operational insights, leading to improved productivity, safer environments, and streamlined logistics operations.