Core Insights - The article emphasizes that the key issue is not merely purchasing humanoid robots for sorting but understanding how to effectively implement and utilize them in existing warehouse systems [3][5][13] - It highlights the importance of a comprehensive solution that includes system adaptation, scenario customization, and ongoing optimization rather than just acquiring hardware [15][28] Logistics Challenges - Traditional logistics sorting faces three main challenges: high labor costs and efficiency bottlenecks, lack of flexibility to handle fluctuations, and data gaps leading to delayed management decisions [7][9][11] - Humanoid robots can address these pain points by offering flexible operations, high efficiency with a sorting accuracy of over 99.9%, and real-time data synchronization to enhance decision-making [12] Implementation Strategy - The article outlines a three-phase implementation strategy for humanoid robot sorting solutions: 1. **Preliminary Phase**: Involves in-depth research and scenario customization to tailor the solution to specific warehouse needs [17] 2. **Mid Phase**: Focuses on system setup and training for warehouse staff to ensure smooth operation and integration with existing management systems [19][20] 3. **Post Phase**: Provides ongoing maintenance and optimization to adapt to changing operational needs and improve efficiency over time [22] Case Study - A case study is presented where a warehouse in East China improved its sorting efficiency significantly after implementing the humanoid robot sorting solution, achieving a sorting accuracy of 99.9% and doubling the daily sorting volume from 12,000 to 25,000 packages [25] Evaluation Offer - The company offers a free evaluation service for warehouses with an average sorting volume of over 5,000 packages per day, which includes on-site assessments and preliminary sorting solution proposals [27]