Intelligent Logistics Equipment (Smart & Intelligent Logistics Equipment) manufacturer and supplier

'Intelligent logistics equipment' refers to the use of advanced technology and automation in the logistics industry to make operations more efficient, cost-effective, and reliable. This equipment includes various types of devices equipped with intelligent functions to optimize material flow, storage, transportation, and overall logistics.

A key aspect of intelligent logistics equipment is the integration of sensors, data analysis, and networked communication. By collecting and analyzing real-time data, logistics companies can obtain precise information about inventory levels, stock levels, transport routes, and delivery times. This enables precise planning and control of logistics processes to avoid bottlenecks and maximize efficiency.

Examples of intelligent logistics equipment include:

Intelligent shelving systems

These systems use sensors and automation to monitor inventory levels, collect stock data, and optimize warehouse organization. They enable efficient storage, retrieval, and relocation of goods.

Automated conveying and transport systems

These include automated conveyor belts, driverless transport systems (AGVs), and robotics solutions that optimize material flow in warehouses and production facilities. These systems can automatically transport, sort, and distribute goods, thereby reducing workload and increasing speed.

Intelligent pallet and container tracking: By using RFID or IoT technology, pallets and containers can be marked with unique identifiers and tracked in real time. This enables accurate inventory tracking, improved traceability management, and more efficient use of warehouse space.

Drones and autonomous vehicles

This equipment is increasingly being used in logistics to make deliveries and transport more efficient and faster. Drones can be used, for example, for inventory, monitoring stock levels, or delivering goods to remote areas.

Intelligent picking systems

By using image processing technology and artificial intelligence, intelligent picking systems can automatically identify, detect, and pick products. This optimizes the order fulfillment process and minimizes errors.

➡️ The use of intelligent logistics equipment offers a range of advantages, including improved efficiency, reduced operating costs, increased accuracy, shorter delivery times, and enhanced customer service. By leveraging advanced technologies and automation, companies can optimize their logistics processes.

Inventory tracking

Integrating 2D matrix codes into the intelligent shelving system allows for precise product and inventory tracking. Each product receives a unique code linked to information such as product name, serial number, manufacturing date, etc. By scanning these codes, employees can pinpoint the exact location of each product within the shelving system and monitor inventory in real time.

Inventory management

The intelligent shelving system enables precise tracking and monitoring of inventory using 2D matrix codes. Through the integration of augmented reality (AR) technology, warehouse staff can effortlessly check and update inventory by simply scanning the code and viewing the information on an AR display.

Order picking

With augmented reality and 2D matrix codes, order pickers can receive instructions and information directly on their AR display. This facilitates the efficient selection of the correct items and their proper placement in the shipping container. Augmented reality enables logistics staff to process orders more efficiently and accurately. By integrating AR glasses or mobile AR devices, they can receive visual instructions directly in their field of vision to support the picking process. The 2D matrix code on the products can be scanned to ensure the correct products are selected and to track order fulfillment progress.

Warehouse space optimization

The intelligent shelving system with 2D matrix codes enables precise product placement and organization in the warehouse. Each shelf can be assigned a unique code containing its exact location and product information. This simplifies the search for specific products and reduces storage and retrieval times. Augmented reality and the industry-specific metaverse provide warehouse staff with additional information about shelf contents and optimal stacking techniques to maximize space utilization. The intelligent shelving system can be combined with AR capabilities to enable optimal warehouse space utilization. By using 2D matrix codes, warehouse staff can access information about the appropriate storage location for each product, minimizing wasted space and maximizing storage density.

Goods receipt and goods issue

2D matrix codes enable the quick and precise tracking of incoming and outgoing goods. The integration of AR technology allows warehouse staff to instantly access information about deliveries, such as order numbers, item descriptions, and quantities.

Error prevention and quality assurance

The intelligent shelving system, combined with augmented reality, can help minimize errors in order picking and storage. By scanning 2D matrix codes, warehouse staff can ensure that the correct products are selected and returned to the correct storage location, thus preventing errors and quality issues.

Traceability and traceability

Using 2D matrix codes and augmented reality, companies can improve product traceability. They can track the entire lifecycle of a product, from manufacturing and storage to delivery to the customer.

Quality control

Integrating 2D matrix codes into the shelving system enables efficient quality control. Each product can be marked with a code containing information about its origin, manufacturing date, testing procedures, and more. By scanning these codes, employees can quickly access this information and verify product quality.

Training and knowledge management

The use of augmented reality and the industrial metaverse can improve training and knowledge management in logistics and production environments. Employees can participate in virtual training sessions that show them how to efficiently use the intelligent shelving system and how to work with the 2D matrix codes. They can also access comprehensive information and instructions via AR glasses or devices to solve problems or obtain additional information.

Training and education of employees

Integrating augmented reality into the intelligent shelving system makes training and education for warehouse staff more effective. They can participate in virtual training sessions where they receive instructions and procedures directly within their AR view.

Warehouse management

2D matrix codes enable warehouse staff to manage storage space more efficiently. They can view information such as storage categories, maximum weight limits, and other relevant data to optimize product placement and avoid bottlenecks.

Real-time data collection

The intelligent shelving system with 2D matrix codes enables real-time data collection on inventory levels, stock movements, and other relevant information. This data can be used to analyze and optimize warehouse processes.

Collaboration and cooperation

The combination of an intelligent shelving system and augmented reality creates opportunities for better collaboration between warehouse employees. Using AR, they can, for example, leave notes, instructions, or comments about specific products that can be viewed by other team members.

Automated conveyor and transport systems with 2D matrix codes offer a wide range of applications in industry. Integrating extended, mixed, and augmented reality into the industrial metaverse opens up even more extensive possibilities.

Real-time tracking of goods

By applying 2D matrix codes to the products and using automated conveyor and transport systems, goods can be tracked in real time. Extended reality technologies allow logistics employees to monitor the current location of goods in a virtual environment.

Virtual warehouse organization

Using mixed reality, warehouse workers can scan the 2D matrix codes on products and virtually display information about stock levels, storage space availability, and shipping details. This enables efficient warehouse organization and management.

Error-free order picking

By combining augmented reality with automated conveyor and transport systems, order pickers can precisely identify products using 2D matrix codes and pick them without errors. Visual instructions and virtual prompts support the picking process.

Digital maintenance and repair manuals

During maintenance and repair work on automated conveyor and transport systems, technicians can use augmented reality to access digital instructions and technical information via 2D matrix codes. This facilitates fault diagnosis and speeds up the repair process.

Training and training environments

By integrating extended reality, virtual training courses and learning environments can be created for operating and managing automated conveyor and transport systems. Employees can learn and improve their skills in a simulated environment.

Collaborative robot control

By linking augmented reality with automated conveyor and transport systems, robots can be controlled and monitored in real time. Technicians can access the control interfaces via 2D matrix codes and make adjustments to optimize human-robot collaboration.

Error detection and quality control

By scanning 2D matrix codes, automated conveyor and transport systems can detect defects or deviations in products and, using augmented reality, provide visual cues for quality control. This enables efficient troubleshooting and quality improvement.

Security monitoring

Safety information about the products can be retrieved via 2D matrix codes and integrated into the Industrial Metaverse. This allows automated conveyor and transport systems to be monitored in real time in order to identify and minimize potential safety risks.

Route optimization

By combining 2D matrix codes and augmented reality, automated conveyor and transport systems can optimize their routes based on real-time data. This increases efficiency and reduces delivery times.

Documentation and reporting

Scanning 2D matrix codes allows relevant product information to be captured and automatically entered into the Industrial Metaverse. This enables automated documentation and reporting of material flow and logistical processes.

➡️ These application examples show how the integration of automated conveyor and transport systems with 2D matrix codes and extended, mixed and augmented reality into the industrial metaverse can contribute to more efficient and optimized logistics.

Autonomous vehicles (AGVs) and drones with 2D matrix codes offer a wide range of applications in various fields. Through the use of Extended Reality (XR), Mixed Reality (MR), Augmented Reality (AR), and the concept of the Industrial Metaverse, these technologies can play a significant role.

Warehousing and management

AGVs and drones can be equipped with integrated 2D matrix code scanners to monitor inventory, identify goods, and manage storage locations. By connecting them with XR and MR technologies, employees can virtually access real-time data and manage logistics processes more efficiently.

Order picking and processing

Autonomous vehicles and drones can be used in combination with AR glasses or mobile devices to support employees in order picking and fulfillment. The 2D matrix codes serve as a reference for the precise identification of products and can provide instructions for correct handling. AGVs can use 2D matrix codes to detect the locations of items to be picked and collect them efficiently. Drones can be used for picking smaller items.

Goods receipt and dispatch

AGVs and drones can be used in goods receiving and dispatch to increase efficiency and accuracy. By scanning 2D matrix codes, they can check inventory, monitor deliveries, and send automatic notifications. This enables faster and more accurate goods processing.

Inventory

Autonomous vehicles and drones with integrated 2D matrix code scanners can be used to facilitate inventory counting. They can automatically count stock levels and compare them with the captured data in real time. This simplifies the inventory process and minimizes human error.

Warehouse space optimization

The use of AGVs and drones with 2D matrix codes enables more efficient use of warehouse space. They can identify the location of items and suggest optimal storage locations to save space and improve accessibility.

Route optimization

Autonomous vehicles and drones can use 2D matrix codes to calculate the most efficient route for transporting goods. This enables faster and more cost-effective delivery of goods.

quality assurance

By using 2D matrix codes, autonomous vehicles and drones can monitor product quality and identify defective items. This supports effective quality control and reduces waste.

Security inspections

Drones can be used in industrial plants to conduct safety inspections. They can scan 2D matrix codes on critical equipment to retrieve information about maintenance needs, condition, or safety risks.

Security and surveillance

Drones can be equipped with 2D matrix codes to conduct security inspections in large warehouses. They can monitor areas and detect potential hazards to improve workplace safety. They can also be used as identification features for access control, cameras, or alarm systems.

Maintenance and repair

Autonomous vehicles and drones can use 2D matrix codes to identify the maintenance needs of machines and equipment. They can gather information about the condition of the equipment and support planned maintenance work.

Deliveries and shipments

Drones can be used as autonomous delivery vehicles to transport packages and goods to remote locations. The 2D matrix codes serve as addresses or identification codes for precise delivery.

Construction site monitoring

Drones can be equipped with 2D matrix code scanners to monitor construction sites and document progress. They can also collect information about material stocks, safety standards, and work progress.

Inspection of infrastructures

Drones can be used to inspect infrastructure such as bridges, power lines, or buildings. The 2D matrix codes serve as reference points for the precise positioning and identification of the elements to be inspected.

Agricultural applications

Drones can be used in agriculture to monitor plant health, analyze irrigation needs, and detect pest infestations. The 2D matrix codes can be used to track plant species, fields, or agricultural products.

Education and training

Extended Reality (XR) and Augmented Reality (AR) allow autonomous vehicles and drones to be simulated in virtual environments. This enables employees to receive realistic training on how to operate these devices safely and efficiently.

➡️ By combining autonomous vehicles (AGVs), drones, 2D matrix codes, and XR technologies, numerous opportunities arise for increasing efficiency, improving safety, and optimizing logistics and industrial processes. The Industrial Metaverse concept enables the seamless integration of these technologies into the work environment, thus creating a comprehensive digital platform for the logistics and industrial sectors.

Intelligent picking systems play a crucial role in the context of intelligent logistics equipment. They enable the efficient and precise detection, identification, and picking of goods.

The diverse application possibilities of intelligent picking systems in conjunction with Extended Reality (XR), Mixed Reality (MR), Augmented Reality (AR) and the Industrial Metaverse increase the possibilities.

Virtual order picking

By using XR technologies, employees can process orders in a virtual environment with the help of intelligent picking systems. They receive visual instructions and information about the location of the items to be picked.

Error prevention and quality assurance

Intelligent picking systems can use MR and AR to provide visual instructions to employees during the picking process and alert them to errors. This increases accuracy and improves picking quality.

Incoming goods inspection

Using 2D matrix codes, intelligent picking systems can monitor incoming goods and ensure the correct identification and recording of products. This enables efficient verification of delivered goods.

Inventory management

Intelligent picking systems can be used in conjunction with XR and the Industrial Metaverse to track inventory, automatically update stock levels, and optimize product reordering.

Route optimization

With AR capabilities, intelligent picking systems can show employees the optimal route through the warehouse during the order picking process. This leads to improved efficiency and reduced throughput times.

Education and training

Intelligent picking systems enable employee training in a virtual environment. Through XR and AR, they can simulate the picking process and provide training materials interactively.

Traceability

By using 2D matrix codes, intelligent picking systems can ensure seamless product traceability. Each product is uniquely identified and can be tracked throughout the entire logistics process.

Just-in-time order picking

Intelligent picking systems can provide real-time information about current inventory and demand. This enables precise just-in-time order picking to reduce storage costs and shorten delivery times.

Order compilation

Intelligent picking systems enable orders to be assembled automatically and efficiently. XR and MR technologies support employees in order picking and facilitate the identification of the correct products.

Product tracking and authentication: By using 2D matrix codes, intelligent picking systems can track products throughout the entire logistics process and verify their authenticity.

➡️ The combination of intelligent picking systems with XR, MR, AR, and the Industrial Metaverse opens up diverse possibilities for increasing efficiency, accuracy, and productivity in intelligent logistics equipment. By using these technologies, companies can optimize their logistics processes and become more competitive.

The economic development in the field of “intelligent logistics equipment” is experiencing continuous growth and offers diverse opportunities for companies and the entire logistics industry. Several factors are driving this development:

Technological progress: Advances in IoT (Internet of Things), artificial intelligence, robotics, and automation have driven the development of intelligent logistics equipment. The availability of cost-effective sensors, powerful data processing, and wireless connectivity enables companies to integrate smart solutions into their logistics processes.

Increased efficiency: Intelligent logistics equipment offers companies the opportunity to optimize their operations and increase efficiency. By using automation and data-driven decision-making processes, logistics companies can make their warehouse management, material flow, and transport logistics more efficient, leading to cost reductions and increased productivity.

Increased demand: The rising demand for faster deliveries, real-time tracking, and more efficient logistics solutions is driving the development of smart logistics equipment. E-commerce companies, delivery services, and retailers are looking for ways to optimize their supply chains and improve customer service, increasing the need for innovative solutions.

Supply chain digitalization: The digitalization of the supply chain is a key trend that is prompting companies to invest in smart logistics equipment. By integrating smart devices, sensors, and data analytics, companies can improve the transparency, traceability, and efficiency of their supply chains and achieve greater customer satisfaction.

Environmental aspects: Smart logistics equipment also plays a role in promoting sustainability and environmental compatibility in the logistics industry. By optimizing routes, reducing emissions, and using resources more efficiently, companies can minimize their environmental impact while simultaneously lowering costs.

➡️ It is important to note that economic development in the field of smart logistics equipment can vary depending on the region and industry. In some countries where advanced infrastructure and technologies are already widespread, growth may proceed more rapidly. In other regions, where investments in technology may be slower, the full potential may not yet be realized.

➡️ Intelligent logistics equipment has a promising future and will continue to play an important role in optimizing logistics processes and increasing the competitiveness of companies.