<p>In the arena of green warehousing, lighting plays a crucial role in the energy demand and carbon emissions, and simulation can help identify effective energy efficiency measures. However, the successful implementation of these measures depends on various factors, including operational constraints, human behaviour, and site-specific characteristics. This paper reports the results of a collaborative project between Politecnico di Milano and Mondo Convenienza, a major Italian furniture retailer, aiming at identifying a customized roadmap for achieving the Net-Zero condition by highlighting the most suitable energy efficiency interventions. The simulation results indicated that the integration of daylight and motion-based controls with the existing LED lighting bulbs would yield substantial benefits. Considering these results, the company has decided to proceed with the installation of smart lighting sensors in the storage area. Nonetheless, during the implementation phase the company faced calibration challenges, particularly in determining the sensor detection width required to activate the LED lighting in the storage aisles. To address this challenge, a participatory calibration process was initiated by the company to incorporate the human factor in the design process, involving forklift operators to determine an operationally acceptable detection width. The implemented intervention was well accepted by operators and resulted in a total energy reduction of approximately 15% compared to the pre-installation situation. This note summarizes key lessons learned for practitioners and outlines research opportunities to better integrate practical implementation constraints into the simulation-based analysis of sustainable logistics facilities.</p>