Multi-Tote Item Tracking for Consolidated Group Picking
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Solution Overview
Problem
In materials handling facilities, there is a need to efficiently associate and manage multiple totes with a single user profile, especially when multiple users are picking items for consolidation or when totes need to be combined, to ensure accurate tracking and reduction of errors in inventory management.
Innovation Solution
The system uses RFID readers, cameras, and image processing algorithms to detect items placed into or removed from totes, updating item identifier lists and presenting a unified profile item identifier list to users, allowing for real-time tracking and association of items across multiple totes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple totes are manually tracked separately, then individual tote management is simple, but tracking accuracy and efficiency deteriorate when consolidating items across multiple users
Solution Approach 1:
The patent combines multiple totes under a single profile by detecting when totes are physically coupled together. The system merges the item identifier lists from all coupled totes into one consolidated list associated with the profile, enabling accurate tracking of all items across multiple totes without requiring separate manual tracking for each tote.
Solution Approach 2:
The system introduces an intermediary coupling detection mechanism (using sensors or RFID readers) that automatically detects when totes are coupled together. This intermediary detection system triggers the automated association of totes with profiles and the consolidation of item lists, eliminating the need for manual tracking while maintaining system simplicity.
2Productivity
If automated detection systems are implemented, then tracking efficiency improves, but system complexity and cost increase
Solution Approach 1:
The system enables self-service automated tracking by having totes automatically report their own item contents through integrated RFID readers or sensors. When items are placed in or removed from totes, the system automatically updates the profile's item identifier list without requiring external intervention, thereby improving tracking efficiency while keeping the system relatively simple.
Solution Approach 2:
The patent replaces manual mechanical tracking processes with automated electronic detection systems. RFID readers or cameras automatically detect items as they are placed in or removed from totes, substituting manual scanning and data entry with automated electronic identification, which improves efficiency while the modular architecture keeps complexity manageable.
3Ease of operation
If multiple users pick items independently, then user autonomy is maintained, but error rates increase due to duplicate picking
Solution Approach 1:
The system implements feedback by providing each user with real-time access to the consolidated item identifier list associated with their profile. Users can see which items have already been picked from the unified list, allowing them to maintain autonomy in their picking decisions while avoiding duplicates. The system updates the list in real-time as items are removed, creating immediate feedback that prevents errors.
4Measurement precision
If totes are physically coupled together, then consolidation accuracy improves, but handling difficulty increases
Solution Approach 1:
The system segments the physical totes but maintains logical unity through software association. Each tote can be handled independently, but the system detects when they are coupled and automatically consolidates their item lists under one profile. This segmentation allows easy physical handling while achieving accurate consolidation through automated detection and data merging.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables accurate and efficient tracking of items across multiple totes, reducing errors and improving inventory management by providing a comprehensive view of all items associated with a user's profile, facilitating seamless consolidation and reducing the likelihood of duplicate picking.
Implementation Method 1
The system uses RFID readers, cameras, and image processing algorithms to detect items placed into or removed from totes
Implementation Method 2
The system uses RFID readers, cameras, and image processing algorithms to detect items placed into or removed from totes
Data Source
AI summary
This disclosure describes a system for associating multiple totes with a single profile so that items placed into any of the multiple totes are identified on a profile item identifier list. For example, if two users located in a materials handling facility are picking items that are to be consolidated or otherwise treated together, each user may select a different tote and move separately through the materials handling facility. As either user picks items and places those items into a corresponding tote, a profile item identifier list is updated to include an item identifier for each picked item.