AI Container Load Planning software
A multinational retail leader
Multinational Companies
The retail industry
Background
One of the world’s largest retailers routinely ships products manufactured in Asia to distribution centers located on various continents.
With such a large number of products to ship, any opportunity to improve container utilization and streamline the process of container load planning can provide meaningful savings.
Challenges
A large volume of goods, and wide SKU variety – with complex and periodically adjusted load rules – strains the ability of manual LCL planning
Manual data table screening and packing creates inefficient and error-prone processes, which increase compliance management costs
High container load rate requirements increased personnel training management costs
Lack of information coordination illuminates the urgent need for intelligent tools to help reduce costs and increase efficiency
Solution
·DoraCLP utilizes an AI time-space multi-objective optimization engine, which is suitable for various packing scenarios. The loading rate of a single container increases by 9% to 10% on average compared to manual loading
·The operation process is simple and fast, carrying out the calculation of single cabinet, synchronous calculation of multi-vehicle cabinet and multi-scheme calculation of single cabinet in just a few minutes
·The structure of the goods is stable, the weight distribution is balanced, and the load bearing specifications are met
·Customized according to different needs, customers can choose an SaaS online platform or standalone installation program for deployment
Customer Benefits
85%+ space utilization and
95%+ weight utilization
Single tank average loading rate can be increased by 5-7% with 100% safety compliance
Approximately 3,000 fewer containers are required to ship the same product volume, with $900,000+ saved in freight charges annually