AI Voice Ordering System Asynchronous Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current voice ordering systems in the restaurant industry face challenges in accurately predicting order information using AI technology, leading to inefficiencies and inaccuracies in non-face-to-face ordering processes, which increases customer contact time, employee movements, and noise levels, and results in potential omissions and reduced provider efficiency.
Innovation Solution
An AI-based voice ordering system that employs an ordering smart terminal to receive and analyze voice data, convert it into text format, and transmit it to a voice ordering server for processing, allowing for asynchronous order placement and recognition, reducing unnecessary customer contact and employee movements, and improving order accuracy and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice ordering systems are used to enable non-face-to-face ordering, then customer convenience and provider efficiency are improved, but order information prediction accuracy deteriorates due to limitations in AI technology
Solution Approach 1:
The patent introduces an ordering smart terminal as an intermediary device between the customer and provider. This terminal captures voice data, converts it to text through voice recognition, and transmits structured order information to the provider server. The intermediary resolves the contradiction by enabling convenient voice-based ordering while ensuring accurate order information transmission through multiple processing stages including voice recognition, text conversion, and data validation.
Solution Approach 2:
The patent replaces traditional mechanical interaction systems (face-to-face communication, manual order taking) with an automated voice-based system. Voice data captured by the smart terminal is converted into structured text and transmitted electronically, substituting the mechanical process of direct human interaction with an automated information processing system that maintains both convenience and accuracy.
2Reliability
If traditional voice ordering methods are used, then face-to-face communication occurs, but noise levels increase and customer contact time increases
Solution Approach 1:
The patent extracts the communication process from the physical restaurant environment into a separate digital channel. The smart terminal captures voice data locally and transmits it electronically to the provider server, removing the need for face-to-face verbal communication in the noisy restaurant environment. This extraction eliminates noise interference while maintaining reliable order recognition through digital transmission.
Solution Approach 2:
The ordering smart terminal serves as an intermediary that captures voice data in a controlled manner and converts it to text for electronic transmission. This intermediary process filters out environmental noise by capturing voice through the terminal's microphone system and processing it through voice recognition algorithms, ensuring accurate order recognition without the harmful noise factors present in traditional face-to-face ordering.
3Speed
If providers continuously standby for orders, then order reception is timely, but provider efficiency decreases due to unnecessary standby time
Solution Approach 1:
The system enables preliminary action by allowing customers to place orders asynchronously without requiring provider presence. The smart terminal captures and processes voice data, converts it to structured text, and transmits it to the provider server in advance. Providers receive pre-processed order information and can respond at their convenience, eliminating the need for continuous standby while maintaining rapid order reception through automated preprocessing.
4Extent of automation
If AI technology is used for voice ordering, then automation increases, but order information prediction accuracy deteriorates
Solution Approach 1:
The patent segments the voice ordering process into distinct automated stages: voice data capture by the smart terminal, voice recognition and text conversion, order information extraction and validation, and transmission to the provider server. Each stage is automated but carefully controlled with validation checks, ensuring that high-level automation does not compromise order information accuracy through systematic processing at each segment.
Solution Approach 2:
The system incorporates feedback mechanisms where the ordering smart terminal receives and processes voice data, converts it to text, and validates the extracted order information before transmission. The provider server receives structured data that has been pre-validated, and the system can request clarifications or corrections if needed. This feedback loop ensures automated processing maintains high accuracy by verifying information at each stage.
Data Source
AI summary
The present invention relates to an AI-based voice ordering system and a method therefor and provides a voice ordering method and system, the voice ordering method comprising: a first step of an ordering smart terminal standing by for voice data reception; a second step of the ordering smart terminal analyzing whether an input signal has been received by an input unit corresponding to a microphone activation button; and a third step of, if the analysis result indicates that an input signal has not been received, returning to the first step and, conversely, if an input signal has been received, the ordering smart terminal receiving a voice signal from a microphone, converting the voice signal into voice data of a preset format, and then transmitting the converted voice data to a voice ordering server via a host terminal connected to a network, so that analysis of text data is performed.