An army of different robots.
Robots are not all the same, the Hercules moves half-ton inventories with precision, the Pegasus enroutes packages at high speed and the Proteus, the most advanced, navigates completely autonomously in areas where humans circulate, but the big difference now is the AI layer.
DeepFleet is a regenerative model that combines everything, learning, adapting and managing each movement, avoiding internal congestion, optimizing routes and reorganizing inventories in real time like a traffic controller for thousands of robots that never sleep.
That perfect choreography doesn't happen alone, DeepFleet was trained with data from years of real logistics, unlike generic AI software, DeepFleet understands where each robot it loads is, where it should go and what is the best time to act, everything and fractions of a second, in addition to speeding up deliveries, this intelligent management reduces wear and tear on machines, now energy and ensures that the remaining humans work alongside thefts in safer and more organized environments.
Every minute, millions of packages are separated, routed and sent in deadlines that seemed impossible a few years ago, in centers such as the recently opened in Cheviport, United States, advanced robotics requires a new generation of operators, more maintenance technicians, programmers and specialists in automated systems, for this, Amazon invests heavily in training, transforming former forklift operators into AI robotic engineering professionals.
The impact is direct, faster delivery speed, lower operating costs and an increasingly lower carbon footprint, which makes a difference for those waiting for a package that can sometimes come from the other side of the world.
