Our comments:
Logistics Manager
Moderate but identified automation impact of AI for this Job
33.33%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
| Tasks | AI Automation Impact |
|---|---|
| Plan and oversee the flow of goods from procurement to delivery | Significant |
| Manage inventories and optimize logistic costs | Moderate |
| Collaborate with suppliers, carriers, and internal services to ensure smooth operations | Low |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
| At-risk Skills | |
|---|---|
| Supervise inventory management | AI can analyze massive volumes of real-time data, predict trends with increasing accuracy, and make automated recommendations for inventory management. This could reduce the need for logisticians to manually oversee stock levels. |
| Scheduling methods with an ERP | As ERP systems and optimization tools become more advanced, traditional scheduling methods may be surpassed by algorithms that dynamically optimize workflows based on various factors, such as demand, resource availability, and other constraints. |
| Future-proof Skills | |
|---|---|
| Environmental standards | Understanding environmental standards encompasses knowledge of regulations, best practices in sustainability, and the environmental impact of logistical decisions. This skill will be increasingly sought after as companies strive to reduce their carbon footprint and comply with increasingly stringent regulations. |
| Continuous improvement approach | Even with the growing adoption of technology, the ability to constantly seek ways to optimize and improve processes will remain essential. This skill encompasses a mindset that is always looking to improve, learn from mistakes, and adapt to changes. It is at the core of many quality management methodologies and will remain relevant regardless of technological advancements. |
How does AI impact this job type ?
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AI is set to revolutionize logistics by efficiently analyzing vast amounts of real-time data and accurately predicting trends, thereby aiding in automated inventory management and dynamic workflow optimization through enhanced ERP systems and optimization tools.
However, the human element remains critical in logistics management for building and maintaining relationships with suppliers and carriers, and for managing operations. As sustainability gains prominence in the industry, logistic managers with knowledge of environmental standards and sustainability practices will be vital.
Furthermore, despite technological advancements, the continuous improvement mindset, which involves process optimization and adaptation to changing scenarios, will remain an essential skill in logistics as technology and industry practices evolve