Speech Recognition for Retail Checkout PLU Code Identification
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Solution Overview
Problem
Retail store cashiers face challenges in efficiently and accurately identifying and inputting price look-up (PLU) codes for items, especially unpackaged goods, leading to inefficiencies and high training costs due to the need for memorization and manual lookup.
Innovation Solution
Implementing speech recognition technology in electronic devices to allow cashiers to dictate item names, which are then identified and processed by the system for checkout, reducing the need for manual code entry and improving training efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cashiers manually input PLU codes for items, then checkout can be performed, but errors and inefficiencies result due to difficulty in memorizing numerous PLUs
Solution Approach 1:
The patent replaces the manual mechanical process of typing PLU codes with an optical scanning system. The scanner automatically captures PLU codes from item packaging or displays, eliminating the need for cashiers to manually type codes and reducing errors associated with manual input and memorization.
Solution Approach 2:
The patent introduces a display device as an intermediary between the scanner and the cashier. The display shows visual representations of items and their corresponding PLU codes, serving as a mediator that guides the cashier in selecting the correct PLU without requiring memorization, thus improving accuracy while maintaining ease of operation.
2Productivity
If cashiers are trained on PLU codes, then checkout efficiency improves, but training costs and time increase due to high turnover rates
Solution Approach 1:
The patent implements a self-service system where the display device automatically presents PLU code options to the cashier based on scanned items. The system guides the cashier through the checkout process without requiring extensive training on PLU memorization, thereby maintaining productivity while minimizing training time and costs for new employees.
Solution Approach 2:
The patent performs preliminary action by pre-displaying relevant PLU codes and item information on the display device before the cashier needs to select them. This advance presentation of information reduces the cognitive load on cashiers and eliminates the need for extensive training, allowing new employees to become productive quickly.
3Ease of operation
If speech recognition technology is implemented, then manual code entry is reduced, but system complexity increases
Solution Approach 1:
The patent merges the speech recognition functionality with the existing point-of-sale system and display device. By integrating the speech-to-text conversion and PLU identification algorithms into the current infrastructure, the system enhances ease of operation through voice input while managing device complexity through unified system architecture rather than adding separate complex subsystems.
Data Source
AI summary
Systems and methods for using speech recognition technologies to facilitate retail store checkout are disclosed. According to certain aspects, an electronic device may detect a user's speech and analyze the speech to identify a set of matching items that may correspond to items being purchased by a customer. The electronic device may display, via a user interface, the set of matching items as well as a code or identification associated with the set of matching items. The user may interface with a point of sale system to input a code for a desired item, and the point of sale system may add the desired item to an order and may facilitate a checkout for the order.