Fujitsu Limited has gone on to announce that it is speeding up the social deployment of next-generation logistics by leveraging its latest research findings on social acceptance of drone delivery to its Uvance business model in its Dynamic Supply Chain Management domain.
Fujitsu, collaborating with partners, logistics operators, and local governments as well as regional businesses, will blend knowledge based on social acceptance with flow-of-commerce and logistics data and make use of AI-driven evaluations and modelling to develop regional delivery services that optimize transport modes, such as trucks and drones as well as autonomous delivery robots.
The results implemented in this endeavor are derived from collaborative research carried out by Fujitsu together with researchers from Kyushu University and Sungkyunkwan University, as well as other institutions. The findings of this study have been published via the internet in the international academic journal Transportation Research Part E: Logistics and Transportation Review on July 29, 2026, and will be presented in Volume 215 of the journal in November 2026.
The growth when it comes to the e-commerce market and the 2024 logistics issue have caused serious social problems, such as a lack of labor and an absence of transportation capacity. In the mountain areas, depopulation is posing problems for maintaining current delivery networks, whereas in the urban areas, the requirements are more varied, including speed, flexibility of receipt methods, and cost-effectiveness. Drones and autonomous delivery robots offer potential solutions, but advancements in technology are not enough for social deployment.
In the Fujitsu Uvance business model, Fujitsu is working to realize next-generation logistics through data and AI, particularly in the domains of Dynamic Supply Chain Management and Physical AI. It is important to record not only flow-of-commerce as well as logistics data, but also the circumstances under which novel delivery techniques are accepted, and to incorporate these findings into service design, with the aim of building logistics networks customized to the requirements of individual regions and residents.
Application of Research Inferences to Dynamic Supply Chain Management
Fujitsu will use the social acceptance findings from this research in combination with flow-of-commerce and logistics data, including delivery demand and transport capacity along with lead times. Fujitsu will analyze with AI-based analysis and simulation, together with partner organizations, logistics operators, local governments, and regional businesses, the optimal logistics services based on the features of various regions and their residents.
Furthermore, Fujitsu will use this knowledge to optimize the integration of transports and to make specific delivery plans according to local demand and conditions.
Fujitsu will also look into the means of connecting to existing logistics systems like Warehouse Management Systems – WMS and Transportation Management Systems – TMS with Physical AI like drones and autonomous delivery robots by means of data linkage. Fujitsu will optimize the allocation of roles between trucks and drones as well as autonomous delivery robots in accordance with the needs and transportation situation in each region, and the drones will be used for short lead time deliveries or shipments that are difficult to be delivered successfully by trucks, thus redesigning the whole last-mile logistics network.
For instance, Fujitsu aims to realize delivery plans that offer packages by employing suitable methods at the appropriate time based on delivery demand and lead time, as well as convenience and price sensitivity prioritized by residents in areas with high populations. In contrast, in mountainous areas where it has become difficult to sustain current delivery networks because of declining populations, Fujitsu will cooperate with local authorities and regional businesses to develop and implement new delivery services via drones, taking into account delivery consistency and approval by residents.
It is well to be noted that Fujitsu integrates its supply chain business knowledge with a data linkage platform and AI-driven analysis and simulation technologies in order to connect conventional planning, decision-making, and execution with data and AI.
With this strategy, the company is more than simply a supplier of technologies, it is dedicated to offering comprehensive assistance, right from the creation of services that are accepted by local communities as well as residents to their social execution with partners.
Exploiting Physical AI for Social Realization
Fujitsu is moving forward with the development of Fujitsu Kozuchi Physical OS, which is a platform that combines systems, robotics, sensors, and spatial data via the Fujitsu-Carnegie Mellon Physical AI Research Center, founded in April 2026. Fujitsu will apply the knowledge gained by the social acceptance of drone delivery towards areas including deployment standards for drones and autonomous delivery robots, operational requirements, involvement with residents, and building a foundation of trust, from both the technical and social acceptance viewpoints, and will speed up the social adoption of physical AI.
Research Findings that Have Been Utilized
The study surveyed 5,113 people throughout Japan in order to investigate the elements affecting public acceptance of Urban Air Mobility – UAM for last-mile delivery. The results showed that the adoption of drone delivery is substantially affected not just by functional factors, like delivery speed and cost, but also by confidence in the support networks and mechanisms and compassion for the social value it delivers, such as addressing social problems and making contributions to regional communities.
The study also identified two different acceptance groups, one that reacts to functional features like delivery lead time and operator types and another that places greater importance on faith in the fundamental systems and general availability of logistics services, also for elderly people and those in underserved areas. These findings emphasize the need for the design of service and communication customized to the specific attributes of different regions and residents.
What’s Ahead
The results of this study will be used by Fujitsu as a basis for designing services and communication strategies for different age groups, providing suggestions for policy when it comes to institutional design like safety certification, and for putting in place ecosystems in the supply chain arena, such as drone delivery, through using flow-of-commerce and logistics data.
In addition, Fujitsu will apply the findings on institutional trust and social value to Dynamic Supply Chain Management and Physical AI activities so as to promote service creation and social execution.
