SWITCH S.R.L.

Urban mobility and logistics are under pressure from every direction simultaneously. Congestion costs cities enormous sums in lost productivity each year. Last-mile delivery operations are struggling to scale sustainably as e-commerce volumes continue to grow. Environmental targets are pushing municipalities and logistics operators to find ways to move people and goods through cities more efficiently and with lower emissions. And the complexity of urban environments — with their constantly changing conditions, competing stakeholder interests, and tightly interconnected systems — makes optimisation extraordinarily difficult using conventional planning and management approaches. SWITCH — Street WITCHer — is tackling these challenges with artificial intelligence and advanced simulation, building a platform designed to revolutionise the way urban mobility and logistics systems are planned, operated, and continuously improved. At the heart of SWITCH's offering are AI-driven workflows that give operators real-time visibility into the activities happening across complex urban logistics and mobility networks. Rather than managing operations through disconnected systems and manual coordination — the current reality for most urban logistics operators — SWITCH brings everything into a unified platform where traffic flows can be monitored, delivery routes optimised, and operational decisions made with the benefit of live data and predictive intelligence. The platform's unified architecture means that information from different parts of the operation is available in the same place, enabling a level of situational awareness that fragmented systems structurally prevent. The simulation dimension of the platform is particularly powerful. By modelling urban environments and running AI-driven scenario analyses before implementing changes in the real world, SWITCH allows planners and operators to test interventions, identify bottlenecks, and optimise configurations without the costly trial-and-error that has historically characterised urban logistics management. A new delivery route, a changed traffic regulation, a shift in depot locations — these decisions can be tested and refined in simulation before any physical commitment is made, dramatically reducing the risk and cost of getting them wrong. The company's offer also extends to real-time task supervision across distributed operations — a capability that becomes critical as logistics networks grow in geographic scope and operational complexity. Supervisors working with a unified platform that surfaces the right information at the right moment can intervene earlier, reallocate resources more effectively, and make better decisions under time pressure than those working across multiple disconnected tools. SWITCH targets manufacturers and integrators across automotive, robotics, and adjacent sectors as part of its ecosystem strategy, recognising that the intelligence layer it provides is valuable wherever physical operations and digital management intersect in complex urban environments. The company's expansion is built on partnerships and ecosystem development, positioning SWITCH as infrastructure for the smarter, more efficiently managed cities that urban planners, logistics companies, and municipal authorities are actively working to build.