Voice Menu Personalization for Pre-Staged Drive-Thru Orders
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Solution Overview
Problem
The increasing time-consuming nature of restaurant drive-thru and pickup orders due to menu complexity, longer wait times, and staffing challenges, exacerbated by the COVID-19 pandemic, leads to inefficiencies and customer dissatisfaction, resulting in lost revenue and abandoned orders.
Innovation Solution
A voice-based menu personalization system that uses natural language processing and machine learning to translate user speech into text, customize orders, and pre-stage them for pickup, integrating with navigation and order fulfillment systems to optimize order timing and reduce wait times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If menu options are increased to provide more variety, then customer choice is improved, but drive-thru time increases and efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-staging orders before customers arrive at the pickup window. Voice-based ordering allows customers to place orders in advance, and the system prepares these orders ahead of time, so that when customers arrive, their orders are already ready for pickup, eliminating wait time regardless of menu complexity
Solution Approach 2:
The voice-based ordering system enables customers to serve themselves by placing orders independently through natural voice commands. This self-service approach eliminates the need for staff to take orders manually, reducing human error and accelerating the ordering process even with extensive menu options
2Reliability
If staff training is intensified to improve order accuracy, then ordering accuracy is improved, but training time and costs increase
Solution Approach 1:
The system replaces the mechanical system of human staff taking and processing orders with an automated voice recognition and natural language processing system. This substitution eliminates the need for staff training related to order-taking procedures, as the automated system consistently processes orders with high accuracy without requiring human intervention or training
Solution Approach 2:
The voice-based ordering system acts as an intermediary between the customer and the order fulfillment system. This intermediary automatically captures, processes, and transmits order information accurately, eliminating the need for staff to manually handle order information and reducing errors associated with human processing
3Productivity
If drive-thru lanes are increased to handle more customers, then customer throughput is improved, but facility complexity and costs increase
Solution Approach 1:
The pre-staging system enables continuous order preparation in the kitchen independent of customer arrival patterns. Orders are staged and prepared continuously based on voice orders received, allowing the fulfillment process to operate continuously without interruption, thereby increasing throughput without requiring additional physical lanes or infrastructure
Data Source
AI summary
A natural-language voice chatbot engages a consumer in a voice dialogue. The chatbot is customized for engaging the specific consumer based on features and characteristics of that specific consumer's speech and a lexicon associated with terms, words, and commands for item ordering. The consumer can perform voice queries for specific items and/or specific establishments for placing a pre-staged order with the chatbot. Once the consumer selects options with a specific establishment, a pre-staged order is provided to the corresponding establishment on behalf of the user. Location data for a consumer-operated device is monitored and when it is determined that the consumer will arrive at the establishment within a time period required by the establishment to prepare the pre-staged order, a message is sent to the establishment to begin preparing the pre-staged order.