Shopping facility discarded item sorting systems, devices and methods
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In modern retail environments, there is a need to improve customer experience and convenience, as customers often go unassisted during peak hours due to insufficient trained employees, leading to issues like abandoned shopping carts, messy aisles, and inventory management challenges, which can result in low customer satisfaction and increased competition from online shopping.
Innovation Solution
A shopping assistance system utilizing motorized transport units (MTUs) controlled by a central computer system, which can move throughout the store, assist with tasks such as retrieving shopping carts, restocking shelves, and managing inventory, and interact with customers and employees through user interfaces to enhance the shopping experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If more employees are hired to assist customers during peak hours, then customer service quality improves, but labor cost increases
Solution Approach 1:
The robotic device autonomously performs tasks such as identifying, collecting, and transporting discarded items and abandoned shopping carts without human intervention. The system uses sensors to detect items, determines their proper destinations using database lookups, and automatically navigates to collection points, enabling the store to maintain service quality without additional labor costs
Solution Approach 2:
Manual mechanical labor by employees is replaced with an automated robotic system equipped with sensors, processors, and motorized components. The robot substitutes human physical effort in collecting items, managing carts, and maintaining store organization, thereby eliminating the need to hire additional staff during peak hours
2Ease of manufacture
If manual sorting and collection of discarded items is performed, then item sorting is achieved, but employee time and productivity are reduced
Solution Approach 1:
The robotic device independently performs the complete sorting workflow: scanning items with sensors, identifying them through image recognition or barcode reading, querying a database to determine proper storage locations, and transporting items to designated areas. This autonomous operation eliminates employee involvement in sorting tasks entirely
Solution Approach 2:
The sorting and collection function is extracted from the employee's task portfolio and assigned to a dedicated robotic system. By separating this specific function from general employee duties, the system enables employees to focus exclusively on higher-value customer service activities
3Stability of the object's composition
If employees manually manage abandoned shopping carts and messy aisles, then store organization is maintained, but employee availability for customer assistance decreases
Solution Approach 1:
The robotic device operates continuously throughout store hours, constantly monitoring for abandoned carts and messy areas using sensors and cameras. It maintains store organization as an ongoing process rather than through periodic manual interventions, ensuring consistent store appearance without diverting employees from customer service
Solution Approach 2:
The robot autonomously performs store maintenance tasks including collecting abandoned shopping carts, gathering discarded items from aisles, and transporting them to appropriate locations. This self-service capability frees employees to focus entirely on customer assistance while the robot independently maintains store organization
Data Source
AI summary
Systems, apparatuses, and methods are provided herein for sorting items discarded in a shopping facility. A system for sorting discarded items comprises a motorized transport unit configured to travel around discarded items placed in a sorting area in the shopping facility, the motorized transport unit comprises a sensor device and an item mover device, an item characterization database storing characteristics corresponding to a plurality of items likely to be found in the shopping facility, and a central computer system. The central computer system is configured to receive data from the sensor device on the motorized transport unit, determine an item characteristic of an item among the discarded items in the sorting area, determine a sorting category of the item from a plurality of predefined categories, and cause the motorized transport unit to move the item, with the item mover device, from the sorting area into a category area.