OKAMURA CORPORATION

Manufacturing industry, distribution industry (wholesale and retail), e-commerce (EC), and third-party logistics (3PL)

Store a wide variety of products in a space-saving, high-density manner while automating and streamlining receiving, shipping, sorting, and picking operations.
Ideal for sites with a large number of SKUs and high shipping frequency.
Can be used for temporary storage of parts and work-in-process items, as well as inter-process buffers.
Supports just-in-time supply and optimized process management.
Compatible with frozen environments as low as -30°C.
Enables efficient picking operations through Goods-To-Person (GTP) systems.

This is the ideal solution for companies facing labor shortages, manufacturing and logistics sites seeking to automate and streamline traditional operations, and businesses needing to improve sorting efficiency or handle increased workloads. It is also perfect for those looking to maximize space efficiency through high-density storage and effective use of upper warehouse space. By automating complex sorting tasks—such as by package, order, store, or delivery area—needed for high-frequency, small-lot shipments, it enables high-speed receiving, shipping, and sorting, eliminating wasted time searching for work locations. As inventory and workloads grow, the Goods-To-Person (GTP) system allows for picking and replenishment at a fixed point, reducing worker burden and increasing productivity. The solution also standardizes tasks prone to reliance on individual skills, such as vacant shelf management and location setting, and automates buffer storage and pre-shipment sorting, solving a wide range of operational challenges.

Manufacturing, distribution (wholesale and retail), e-commerce (EC), and third-party logistics (3PL)

Automation of picking from order receipt to shipment
Achieve fast and accurate picking for shipments using robots
High-density storage of inventory to maximize product storage in limited space
Addressing labor shortages and enabling 24/7 operation
Sites with increasing SKUs and frequent, small-lot shipments
Warehouses that need to ship and sort a wide variety of products in detail
Streamlining and automating inventory checks and inventory management

AutoStore is a robotic automated warehouse that achieves high-density storage by tightly stacking dedicated containers (bins) within a grid structure, eliminating the need for aisles. Its simple design allows for flexible adaptation to growth and changes in operational environments, enabling highly customizable layouts to suit installation spaces and site conditions. Furthermore, robots automatically handle the storage and retrieval of densely packed containers, with a controller managing the overall flow and database while continuously recording operation logs, thereby enabling efficient and automated inventory management. As items are repeatedly stored and retrieved, frequently accessed products are automatically consolidated in the upper layers, reducing retrieval times, and simulation software can be used to determine the optimal layout and number of robots.

Manufacturing, distribution (wholesale and retail), e-commerce (EC), and third-party logistics (3PL)

Examples include the automation of picking, sorting, and transport operations within warehouses; parts supply and inter-process transport in factories; and order picking and pre-shipment sorting in e-commerce logistics. It is also suitable for transporting products requiring high safety, such as pharmaceuticals and precision equipment, as well as for large-scale logistics sites that require 24-hour operation.

The Q1P is a compact transport robot designed to operate in narrow aisles. It achieves autonomous navigation using various methods, including SLAM, QR codes, and magnetic tape. As a shelf-carrying AMR, it can move underneath picking shelves and lift them for transport, allowing for flexible adaptation to changes and expansions in the workplace layout. Equipped with safety sensors, it can avoid collisions and work safely alongside human operators.
The Q3 is larger than the Q1P and offers a high load capacity of up to 600 kg. It is suitable for transporting large shelves and heavy items, and supports highly accurate autonomous navigation as well as 24-hour operation with its long-life battery.

Manufacturing, distribution (wholesale and retail), e-commerce (EC), and third-party logistics (3PL)

HIKROBOT’s CTU is an unmanned automated picking and handling robot that automates the picking and transportation of dedicated containers. It automatically picks the required containers and is capable of transporting multiple containers simultaneously. This improves picking efficiency and storage capacity, while also reducing operator travel time and human errors.

A key feature is its ability to automatically transport multiple items simultaneously. This enables both improved picking efficiency and increased storage capacity, greatly contributing to productivity in logistics sites and factories. In addition, it is equipped with high-precision autonomous navigation, allowing it to automatically recognize warehouse routes and transport required items quickly and accurately. With its high scalability and customizability, the system can flexibly accommodate changes in layout or system expansion, and it is capable of handling items of various sizes and shapes.

Manufacturing, distribution (wholesale and retail), e-commerce (EC), and third-party logistics (3PL)

Addressing the complexity of warehouse operations and problem-solving
Improvement of warehouse operations
Cost reduction and work efficiency enhancement
Streamlining integration tasks when introducing material handling equipment
Decision-making support based on past data
Efficient personnel allocation
Realization of one-stop support
Optimization across multiple locations
Formulation of logistics strategies and improvement of management indicators

This WMS integrates BI features like task visualization and AI-driven workload forecasting to simplify complex warehouse operations. It enables fast, data-driven decisions and on-site improvements that are hard to achieve with typical systems.
AI-Powered Optimization
Data collected from the WMS is visualized and analyzed in real time.
Optimized Staffing: Progress from receiving to shipping is monitored live, enabling efficient worker allocation. Individual skills and activity levels are also tracked.
Workload Forecasting: AI uses historical data and event trends to predict future workloads, allowing for better staffing plans during peak and slow seasons.
This reduces reliance on experience or guesswork.
Smooth Integration & Cost Reduction
Using Okamura’s expertise, the WMS integrates smoothly with material handling equipment and WCS, simplifying system structures.
It reduces project management workload and unifies support from setup to maintenance for smoother operation.