Automated Shelf Replenishment With Sensor-Guided Robotic Storage
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Solution Overview
Problem
Stockouts and inefficient shelf replenishment in retail environments lead to significant sales loss and customer dissatisfaction, exacerbated by manual inventory processes prone to errors.
Innovation Solution
An automated storage system with movable shelves, robotic units, and sensors (CV and RFID) that monitor and manage inventory, enabling automated restocking based on real-time shelf status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical inventory counts are performed to reduce stockout frequency, then stockout frequency is reduced, but time consumption and disruption to customer experience increase
Solution Approach 1:
The patent replaces manual physical inventory counting with an automated optical sensing system. Sensors capture images of shelves and products, and image processing algorithms automatically identify and count inventory items, eliminating the need for human workers to physically count stocks while maintaining accurate inventory data.
Solution Approach 2:
The system enables self-monitoring of inventory levels through continuously operating sensors that automatically detect and track product availability on shelves. The system autonomously identifies low-stock situations and generates replenishment alerts without requiring manual intervention, allowing the storage system to monitor itself continuously.
2Reliability
If physical inventory counts are performed to reduce stockout frequency, then stockout frequency is reduced, but customer experience is disrupted
Solution Approach 1:
The patent replaces manual physical inventory counting with an automated optical sensing system. Sensors capture images of shelves and products, and image processing algorithms automatically identify and count inventory items, eliminating the need for human workers to physically count stocks while maintaining accurate inventory data.
Solution Approach 2:
The system provides continuous, uninterrupted monitoring of inventory levels through always-on sensors that operate without stopping. This allows inventory tracking to occur continuously in the background without periodic disruptions to store operations or customer shopping experiences, maintaining constant awareness of stock levels.
3Productivity
If manual shelf replenishment is used to restock products, then labor flexibility is maintained, but replenishment speed and accuracy decrease
Solution Approach 1:
The patent replaces manual shelf replenishment operations with an automated robotic system. A robotic arm equipped with grippers retrieves products from storage areas and autonomously places them on appropriate shelves based on real-time inventory data, significantly increasing replenishment speed and consistency while reducing human labor requirements.
Solution Approach 2:
The system implements closed-loop feedback control where sensors continuously monitor inventory levels, the control system processes this data to determine replenishment needs, and the robotic system executes replenishment actions. The system constantly adjusts its operations based on real-time feedback from sensor data, ensuring accurate and timely replenishment decisions.
4Measurement precision
If manual inventory management is used to maintain stock levels, then operational simplicity is maintained, but inventory accuracy and stock availability decrease
Solution Approach 1:
The patent replaces manual inventory counting with an automated optical sensing system. Sensors capture images of shelves and products, and image processing algorithms automatically identify and count inventory items, eliminating the need for human workers to physically count stocks while maintaining accurate inventory data.
Solution Approach 2:
The system implements closed-loop feedback control where sensors continuously monitor inventory levels, the control system processes this data to determine replenishment needs, and the robotic system executes replenishment actions. The system constantly adjusts its operations based on real-time feedback from sensor data, ensuring accurate and timely replenishment decisions.
Data Source
AI summary
An automated storage system is disclosed. The automatic storage system comprises a storage unit that comprises a pair of racks and a pair of tracks. Each rack having a plurality of shelves configured to store one or more objects, and a pair of tracks coupled, directly or indirectly, to the pair of racks. Each sensor of a plurality of sensors is configured to determine a status of a respective shelf. At least one movable shelf is configured to be positioned within an opening of the storage unit. At least one robotic unit is movably coupled to the pair of tracks and comprises at least one inverted robotic arm. At least one processor is configured to control the at least one inverted robotic arm to place the objects from the at least one movable shelf to a corresponding shelf, based at least on the status of each shelf.


