Company: OTSA
Filing Date: 2025-07-16
Form Type: F-1/A
Source: 0001213900-25-064434
Chunk: 121

Company: OTSAW Ltd
Filing Date: 2025-07-16
Form: F-1/A
Chunk 121
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. Last -miledelivery robots, which often utilize electric or hybrid technology, can substantially reduce greenhouse gas emissions compared to traditional delivery vehicles. Additionally, implementing eco -friendlydelivery solutions enhances corporate social responsibility, aligning with consumer values and potentially attracting a more environmentally conscious customer base. By investing in sustainable practices, logistics companies can not only comply with evolving regulations and standards but also differentiate themselves in a competitive market. Improved Urbanization and Infrastructure in densely populated areas: The rise of urban populations and ongoing infrastructure improvements create a favorable environment for deploying last -miledelivery robots in densely populated areas. As cities expand, the demand for efficient delivery solutions grows, and enhanced infrastructure — such as dedicated pathways and smart traffic systems — facilitates the seamless operation of these robots. This integration not only reduces delivery times and enhances reliability but also helps alleviate traffic congestion and lower carbon emissions. Thus, the combination of urbanization and improved infrastructure presents significant opportunities for the widespread adoption of automated delivery solutions. Market Challenge Analysis Healthcare Logistics Initial Investment and Maintenance Costs:While AGVs offer long -termcost savings, the initial investment required for the purchase and installation of AGVs can be a barrier for smaller healthcare facilities with limited budgets. The average cost of a healthcare logistics robot can range from $10,000 to $150,000, depending on its capabilities [21]. Additionally, regular maintenance and software updates are necessary to ensure AGVs operate efficiently, adding to the overall cost. Customization and Scalability:Healthcare facilities vary greatly in size and layout, which can affect the scalability of AGV systems. Customization of routes, load capacities, and operating times may be required to meet the specific needs of individual facilities, adding to the difficulty of system integration and large -scaledeployment. Integration with Existing Systems:Integrating Robotic Process Automation (RPA) into existing healthcare systems, including Electronic Health Records (EHRs) and other legacy platforms, presents a major challenge. Many of these systems are outdated and were not built to work with modern automation technologies. Achieving smooth integration often requires extensive customization and can be time -consuming. Ensuring effective communication between RPA tools and the current infrastructure is essential to prevent service interruptions. Staff Training and Acceptance:Successful implementation of logistics robots requires staff training and acceptance. Resistance to change and fear of job displacement can hinder adoption. Healthcare facilities need to invest in comprehensive training programs and change management strategies to address these concerns. Compliance with Regulations:The healthcare industry is subject to strict regulations governing data privacy, patient confidentiality, and operational procedures, making