Edge Appliance for Conversational AI Order Taking
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Solution Overview
Problem
Restaurants face challenges in efficiently taking orders during peak times, particularly due to inclement weather and safety concerns for employees when collecting orders from customers in vehicles, leading to inefficiencies and potential injuries.
Innovation Solution
Deployment of edge appliances with order posts equipped with machine learning algorithms that enable software agents to engage in conversations with customers to take orders, reducing the need for human employees in hazardous conditions and allowing for simultaneous order processing across multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If employees are deployed to take orders from customers in vehicles during peak times, then order throughput is improved, but employee safety is compromised due to inclement weather and moving vehicles
Solution Approach 1:
The system enables automated order taking through software agents that interact with customers via audio interfaces in their vehicles. The edge appliance autonomously captures audio, processes orders, and communicates with the kitchen system without requiring employee presence in hazardous outdoor areas during peak times.
Solution Approach 2:
The patent replaces the mechanical system of human employees physically going outdoors to take orders with an automated audio-based system. The edge appliance uses microphones, speech recognition, and software agents to substitute the human employee's role in customer interaction and order processing.
2Productivity
If multiple employees are deployed to take orders simultaneously during peak times, then order processing capacity is improved, but labor costs and coordination complexity increase
Solution Approach 1:
The edge appliance serves multiple functions: it acts as an audio interface for customers, a speech recognition system, an order processing terminal, and a communication bridge to the kitchen display system. This multi-functional device replaces multiple specialized employee roles, simplifying the overall system while maintaining high order processing capacity.
Solution Approach 2:
The system creates virtual copies of the order-taking function through software agents running on the edge appliance. Instead of deploying multiple physical employees, the system uses software-based order agents that can handle multiple customer interactions simultaneously without the coordination overhead of human staff.
3Object-affected harmful factors
If automated software agents are used to take orders, then employee safety is improved by removing them from hazardous areas, but system complexity and initial setup requirements increase
Solution Approach 1:
The edge appliance serves as an intermediary device between the customer's vehicle audio system and the restaurant's existing kitchen display system. It captures audio through its microphone, processes orders via software agents, and communicates with the kitchen system through standard interfaces, bridging the gap without requiring complex integration with existing infrastructure.
Solution Approach 2:
The system changes the operational parameters of order taking from human-based physical presence to automated audio processing. By transforming the order-taking process into an audio-based automated system, employee safety is dramatically improved while the complexity is managed through standardized communication protocols with existing restaurant systems.
4Ease of operation
If employees take orders in the drive-through area, then customer service is maintained, but exposure to inclement weather and moving vehicles increases safety risks
Solution Approach 1:
The patent replaces the human employee's physical presence in the drive-through area with an automated audio interface system. The edge appliance's microphone and software agents handle customer interactions entirely through audio, eliminating the need for employees to be exposed to weather and moving vehicles while maintaining full customer service capability.
Solution Approach 2:
The automated system enables customers to place orders through audio interaction with software agents in their vehicles. This self-service approach allows customers to complete their ordering process without requiring employee assistance, thereby eliminating employee exposure to hazardous conditions while preserving service quality.
Data Source
AI summary
In some aspects, an edge appliance is placed in an active mode and causes a software agent that is based on a machine learning algorithm to engage in a conversation to take an order from a customer that is located at an order post. The edge appliance provides, using a communication interface, audio data that includes the conversation, to a communications system of a restaurant. The edge appliance provides, using the communication interface, a content of a cart associated with the order to a point-of-sale terminal of the restaurant. If the edge appliance determines, using the communication interface, that a microphone of the communication system is receiving audio input from an employee, the edge appliance automatically transitions the edge appliance from the active mode to an override mode, enabling the employee to receive a remainder of the order from the customer.