Digital intelligent management
ALSCO invests heavily in digital technology to realize intelligent operation management: these digital technologies improve management efficiency, help ALSCO achieve precise scheduling, reduce waste, achieve lean operations, and maximize the value of existing resources, which also makes ALSCO a leader in the industry. It is in a leading position and has significant competitive advantages.We will continue to increase investment in digitalization, continuously improve management levels, and create greater value for customers: We believe that the use of digital technology will greatly change the management methods and business models of the packaging industry. This requires ALSCO to continue to explore and innovate, keep pace with the times, and grasp the digital development trend. We also hope to collaborate and communicate with more companies to jointly promote industrial change and upgrading.
IoT RPS returnable packaging management process
Lot unpackaged self-tracking system
Asset Full Lifecycle Tracking and Positioning
Enable continuous power supply for IoT devices throughout the entire lifecycle of logistics circular assets without battery replacement
Asset Occupancy & Idle Status Identification
Intelligent pallet sensing enables awareness of pallet occupancy status, including loading, transportation, unloading, and stacking conditions.
Asset Inventory Management
Automatic daily inventory checks Theft prevention and loss prevention.
Asset Scheduling & Operations
Leverage backend big-data models to perform intelligent network-wide scheduling, enabling status recognition for loading, warehousing, shelving, unshelving, packing, and unpacking.
Logistics Transportation Risk Monitoring (Optional)
Monitor anomalies during logistics transportation.
Detect transportation and warehouse operation risks during monitoring processes.
IoT RPS Intelligent Modules for Diverse Application Scenarios
Provide different intelligent modules for various packaging asset carriers to support business adaptation across multiple scenarios.
Digital intelligence value
Interface with customer systems to share packaging operation data to achieve collaborative management and further improve resource utilization.
Enhance big data analysis capabilities, establish packaging operation models, conduct simulation experiments, discover operational risks in advance, and guide management decisions.
Continue to iterate tracking technologies such as RFID and BLE to expand the scope of monitoring, generate more accurate and detailed packaging operation data, and discover more operational opportunities.
Develop a packaging operation monitoring and early warning system and use artificial intelligence technology to achieve real-time early warning of abnormalities and reduce operational losses.
Digital means continue to advance, gradually realizing driverless forklifts, AGV automatic handling, etc., reducing manual operations and improving work efficiency.