Repetitive tasks in logistics and industrial assembly, such as lifting heavy loads and overhead work, cause significant physical strain, leading to musculoskeletal disorders and reduced job satisfaction. This study enhances a passive exoskeleton by integrating a load cell for real-time force measurement and a servo-driven switching mechanism. Custom activity recognition, achieved via motion sensors, dynamically toggles support: activating during high-force tasks (e.g., lifting) to reduce strain and deactivating during movement (e.g., walking) to ensure mobility. A laboratory study with five participants validated the system in a simulated workflow, including loading, transporting, and unloading boxes. Results show the exoskeleton effectively adapts to user activity, providing targeted support during demanding tasks while maintaining flexibility. This integration improves worker well-being and productivity by reducing fatigue and injury risk, highlighting the potential of adaptive exoskeletons in industrial settings.