Enhancing Logistics Efficiency Through Machine Learning-Based Demand Sensing

Samsung SDS held 'Cello 2017' under the theme of 'Presenting Next-Generation Logistics.'

The Cello conference was an occasion where industry stakeholders from logistics, manufacturing, and distribution sectors gathered to share improvements and trends for securing competitiveness in logistics and supply chain management (SCM) from business, technology, and innovation perspectives.



The company also showcased Cello IoT (Internet of Things) service and machine learning-based demand sensing forecasting use cases. Cello IoT service is a service that collects information previously managed by personnel in logistics sites through IoT sensors and manages the information by connecting it through a network.

In logistics demand, it can detect and prevent risks during cargo monitoring and management, and enable real-time tracking of transport vehicles and individual items. Additionally, it can detect empty spaces in warehouses or ports to sense space capacity, and detect and analyze incidents such as traffic accidents to efficiently manage energy and detect failures.

Cello's demand sensing function with algorithms from big data analysis platforms was also disclosed. It predicts store sales performance of a overseas distributor, analyzes promotion effects to forecast demand, and proposes the results to the distributor.