The final cost of production largely depends on the costs associated with its logistical processing. Loading, unloading, shelving and reverse processes of delivery after storage are quite laborious processes. Mechanization of the work of logistics terminal employees and the most efficient use of warehouse space volumes is a task that every operator faces. The exhibitions held annually are 2026. Self–propelled trolleys and storage equipment allow manufacturers to present their developments, and consumers to get acquainted with the samples "live".
Noteworthy trends
A well-known developer and manufacturer of warehouse equipment, Juntun company is presenting its next development, AGV trolleys, at the 2026 exhibition. The design scheme is a robotic self-propelled platform that transports goods through the warehouse. They travel along the routes laid down in the program and do not require the participation of an operator. According to the size and specifics of the tasks, the following types are distinguished::
- Transport trolleys are platforms designed to transport boxes, containers, or small pallets along a fixed route. They are used to deliver containers to their packaging location, move collected orders to the sorting point, or return empty containers back.
- Towing trolleys are robots that can move one or more trolleys and trolleys at once. They are recommended for use in wide aisles when it is necessary to transport large shipments in one cycle.
- Fork trucks are robotic pallet trucks. They are used for handling cargoes placed on standard pallets. They are equipped with functionality for loading pallets onto racks and feeding them to the shipping area on vehicles.
Such AGV trolleys are mass-produced by Juntun, and the presentation of prototypes at the exhibition allows us to study not only demand, but also to take into account the requirements of consumers for equipment. According to leading domestic and foreign experts, this area of warehouse process automation is the future. Such machines can work 24/7 without knowing fatigue. They do not make mistakes and perform their functional duties according to the established algorithm.
