Article (En)
Digitalization, automation, and sustainability in logistics
2026-05-08 14:17
Examples:
Implementation of ERP, MES, WMS, and TMS systems
Online monitoring of production lines
Big Data and demand analytics
Digital twins (Digital Twin technology)
IoT — sensors in warehouses and transportation
Effects:
Full supply chain transparency
More accurate planning and forecasting
Immediate response to disruptions or demand changes
Reduced human factor influence
Automation
Replacing manual labor with machines and algorithms.
Examples:
Robots on assembly lines
Automated warehouses (AS/RS)
Automated forklifts, drones, conveyors
RPA (Robotic Process Automation) — automation of routine office tasks
Artificial intelligence in logistics (routing, transport selection)
Effects:
Reduced labor costs
Increased productivity and quality
Minimization of errors
Shorter operation and processing times
Sustainable Development (Sustainability)
Running a business while considering environmental, social, and governance (ESG) factors.
Examples:
Reducing COâ‚‚ emissions and energy consumption
Optimizing packaging and delivery routes
Using renewable energy sources
Recycling waste and secondary processing
Social responsibility toward employees and society
Effects:
Lower risk of fines and regulatory issues
Increased attractiveness for investors and customers
Stronger long-term business resilience
ICS Logistics