Provides a conversational AI platform for quick-service restaurant (QSR) drive-thrus, enabling automated order taking with 94% accuracy in noisy environments. Reduces labor costs, minimizes order errors, and increases average check size through built-in upselling, handling complex menus and mid-sentence changes seamlessly.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IIPAZZFounders
Product
Problem
Quick-service restaurants (QSRs) face challenges in maintaining order accuracy and consistent customer service at the drive-thru, especially during peak hours and with high employee turnover. Labor costs and staffing shortages further exacerbate these issues, impacting efficiency and profitability.
Solution
Hi Auto offers a conversational AI platform designed to automate order-taking at QSR drive-thrus, improving accuracy and streamlining operations. The platform leverages a proprietary AI and human-in-the-loop hybrid approach to achieve high accuracy rates, even in noisy environments. By automating the ordering process, Hi Auto reduces labor costs, minimizes order errors, and enhances the customer experience through faster service and consistent upselling. The AI can process complex menus, understand accents, and handle mid-sentence changes, ensuring a seamless and efficient ordering process.
Target Audience
The primary target audience includes quick-service restaurants (QSRs) looking to automate their drive-thru operations, reduce labor costs, and improve order accuracy and customer service.
Features
- Conversational AI that automates drive-thru order taking
- 94% accuracy rate in noisy drive-thru environments
- Built-in upsell tool to increase average order value
- Ability to process mid-sentence changes and multiple requests
- Support for complex menus and various accents
- Real-time understanding of out-of-stock items
- Multilingual capabilities, including Spanish
- Hybrid AI and human supervision approach