iWMS is an intelligent warehouse management system that can adapt to business differences of various industries and quickly respond to the needs of subsequent development for enterprises. It features 4 development elements, 3 extensible resource libraries, and N industry systems with task elements as its cornerstone, capability development as the center, and low-code elements as the engine.
Key Features
iWMS establishes an open ecosystem based on 4 low-code development elements and 3 resource libraries. Through flexible configuration combined with low-code development,the system can respond to the demands flexibly and provide non-standard solutions to adapt to changes in the business quickly.
Secondary development ecosystem
iWMS empowers users for development on the basis of 4 open elements to achieve intelligent manufacturing comprehensively.
Resource libraries
Provided with 3 reusable resource libraries that can be accumulated, iWMS supports orchestrating 100+ industry applications.
Industrial adaptation
By employing low-code elements, iWMS supports process orchestration of different industries to meet requirements.
Business Simulation
Warehouse business simulation platform can restore the on-site business process and simulate the real operation system. Both simulation execution and quantitative data analysis of the business process under the solution can be carried out through different configurations such as site layout, route planning, task parameter, order structure, and AMR operating parameter. The simulation platform helps customers seek the optimal configuration during the project implementation cycle, so that they can evaluate effectively and make decisions on the overall solution.
Application Cases
Hikrobot has developed many benchmark cases for various industries, including consumer electronics, automobile,manufacturing, logistics, pharmaceuticals, shoes and clothing.
FAW Jiefang Carrying Project
AMR type: 200+ LMRs |
Inbound: Detecting goods, carrying, and inbound via RFID and AMR
Materials preparation: Picking and getting the materials ready for small materials, and managing inventory of materials preparation. Lineside delivery: Delivering large materials to the production line directly and performing outbound tasks in sequence. Delivering small materials to the specified rack for materials preparation. Returning empty: Manually or automatically replenishing containers that returns empty from the production line to the inbound dock. |
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Sunrise Smart Logistics Project
AMR type: 325 LMRs and 3 battery swap stations |
Inbound: Detecting goods, carrying, and inbound via RFID and AMR
Materials preparation: Picking and getting the materials ready for small materials, and managing inventory of materials preparation. Lineside delivery: Delivering large materials to the production line directly and performing outbound tasks in sequence. Delivering small materials to the specified rack for materials preparation. Returning empty: Manually or automatically replenishing containers that returns empty from the production line to the inbound dock. |
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Guilin Kaifa Technology Intelligent Logistics Project | The project covers the typical and full-scope business processes of the whole factory in consumer electronics manufacturing, including raw material inbound (purchasing, allocation, transferring, and production return), raw material outbound (production, allocation, and transferring), production handling (raw material handling and delivery, temporary storage/handling of semi-finished products, and finished products out of production line), and finished products inbound and outbound. With intelligent warehouse management system (iWMS), the project greatly reduces the work intensity of workers and improves the efficiency of picking and distribution, increasing the picking efficiency of single work order by 30% and saving 40% of the workload of logistics personnel in factory.
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Application Cases
Dashenlin Project
The project has deployed 26 CTUs and 7 manual picking stations. After the project was implemented, it was found that the number of picking tasks varied between manual picking stations, resulting in a loss of overall picking efficiency. Finally, order applying and allocation strategy were optimized through simulation analysis to keep the tasks of each picking station balanced and raise the upper limit of efficiency.
Shunde VMI Smart Warehouse Project
Different combinations of inbound and outbound docks lead to differences in efficiency. The project has deployed 2 inbound docks and 2 outbound docks. At the project appraisal stage, the optimal layout of the inbound and outbound docks was determined according to the simulation analysis of the onsite map.
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