Our comments:
Order Picker
Job Still Minimally Affected by AI Due to Its Physical Dimension
9,75%
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 |
|---|---|
| Prepare products according to orders. | High |
| Organize product storage. | Significant |
| Verify the conformity of prepared products. | Significant |
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 | |
|---|---|
| Use of Non-Motorized Handling Equipment | With the advancement of technologies, there is an increase in automated or semi-automated handling machines. For instance, robots can now manage certain aspects of handling in warehouses. Such devices can reduce the need for traditional manual handling equipment. |
| Manual Inventory Techniques | Automation and RFID (Radio-Frequency Identification) technology are transforming the way inventories are conducted. These technologies allow real-time tracking and increased accuracy, reducing the need for traditional manual methods of counting and tracking stock. |
| Future-proof Skills | |
|---|---|
| Stock and Supply Management | Even with automation and the implementation of computer systems, a fundamental understanding of stock and supply management will remain crucial. It helps optimize storage, reduce costs, and ensure that products are available when customers need them. |
| Safety Rules and Instructions | Safety is always a priority, regardless of technological advancements. A deep understanding of safety rules and instructions ensures a safe working environment for all and minimizes the risk of accidents. |
How does AI impact this job type ?
Get the full analysis
⚠️ Although eight criteria, including the complexity and creativity of primary tasks and associated risk levels, indicate this job has significant automation potential, its physical dimension acts as a substantial hurdle to further automation
Warehouse pickers play a central role in the logistics chain, primarily responsible for preparing products, storing them, and verifying their compliance. With the advent of AI, significant productivity gains can be envisioned. For example, automated systems can recommend optimized routes through the warehouse to gather products more quickly, while AI-based tools can forecast stock needs and assist with inventory management.
Furthermore, image recognition technology could be used to verify the compliance of prepared products.
However, the physical aspect of retrieving and handling products retains an essential human dimension, limiting the full automation of the profession.