Goods-to-person and assisted picking.
The product comes to the operator, with automatic item and order verification before shipping.
Picking errors and low accuracy eating into margin.
Manual picking in high-SKU operations lives with inventory discrepancy, wrong-item returns, and verification rework. In e-commerce and retail, every picking error carries a double cost: the return freight and the reshipment, on top of the wear on the customer relationship.
The goods-to-person model flips the logic of manual picking: instead of the operator walking to the product, the system brings the product to a fixed station, with visual guidance or computer-vision-guided piece-picking robotics, and verifies the item before releasing the order for shipping.
From assessment to operation, in three stages.
Automated tote buffer
A multi-shuttle system stores and moves picking totes to the picking station, with no operator travel across the warehouse.
Assisted picking
Put-to-light visually guides the operator on quantity and position, or a piece-picking robot with computer vision performs the pick autonomously.
Verification and release
Weight or code-based validation before closing the order, eliminating shipping errors at the source.
The error is stopped at the source, not at the return.
- E-commerce
- Retail
- Pharmaceuticals
- Cosmetics
- Spare parts
- Multi-shuttle goods-to-person systems
- Put-to-light stations
- Computer-vision picking robotics
- Automatic per-order verification
- Reduced inventory discrepancy
Want to cut picking errors without growing headcount?
Talk to NEXXTKeep exploring.
05
High-performance automation, competitive cost
European benchmarks out of reach for the average Brazilian company? Equivalent technology, lower total cost.
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Software orchestration: WMS, WCS and digital twin
Systems from different vendors that do not talk to each other? A single layer orchestrating the whole operation.
