Reward with preceding technology and trust
BrycenKorea’s proprietary image recognition technology recognizes the image of the target with high probability and
enables high-speed inspection processing in connection with the logistics management system.
Through a smart logistics platform that applies new technologies such as optimization algorithms, digital twins, IoT,
and AI, we reduce the burden of various operation tasks and provide high-quality operation services.
Optimal platform for logistics innovation to maximize performance.
The data-based decision-making system easily reduces the burden of supply chain management.
Minimize the response time of new logistics consignment companies through logistics management from the perspective
of an integrated platform.
Achieving efficiency in logistics operation by applying new services.
Support for quick and accurate decision-making with visible logistics flow.
Provide demand forecast by analyzing data based on standardized historical data.
Demand is predicted and provided by analyzing seasonality and sales trend in past sales records
Shipment forecast function system to prevent loss of sales opportunity due to inventory depletion.
Prevention of leakage or personal information due to incorrect attachment of shipping notes.
Recognizes the image of the target with high recognition probability with proprietary image recognition technology.
Applied to various systems with flexible scalability and connectivity.
It is possible to respond to various languages by applying multilingual support.
With the introduction of the smart logistics platform
COOOLa, the number of jobs per hour increased from
280 to 500, increasing shipments by 1.7 times.
Products without barcodes can be inspected.
Read the situation of the product with the built-in camera
and identify the product from the difference.
Establishment of efficient warehouse management
and picking system
Building a picking system that can effectively respond to
the rapidly changing logistics environment.
Optimal platform for logistics innovation to maximize performance.
Minimize the response time of new logistics consignment companies through logistics management from the perspective of an integrated platform.
As an optional service of the cloud-type warehouse management system COOOLa, a shipment predicting function
was introduced through linkage with demand forecasting type ordering service.
By integrating dedicated systems for each route company and issuing a shipping invoice at the inspection line at the time of final packaging, it is possible to drastically reduce cumbersome bills of delivery and statement work with shipping invoices, and also prevent leakage of personal information due to incorrect attachment of shipping invoices.