Auvisus offers an AI-powered self-checkout system for food service operations that automates item identification and payment. This visioncheckout technology uses computer vision to scan food items, reducing customer wait times and improving staff efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Food service operations face challenges with manual checkout processes, leading to extended customer wait times and reduced staff efficiency. This manual approach can also result in errors and a lack of detailed sales data for operational analysis.
Solution
Auvisus provides an AI-powered self-checkout system, visioncheckout, designed to automate item identification and payment in food service environments. The system utilizes cameras and advanced artificial intelligence to accurately scan food items, eliminating the need for manual input. This technology streamlines the transaction process, significantly reducing customer queues and freeing up staff to focus on other critical operational tasks. The visioncheckout system integrates seamlessly with existing POS systems, offering a plug-and-play solution for enhanced throughput and customer experience.
Target Audience
The primary customers are food service operators, including canteens, cafeterias, and other high-volume food establishments seeking to optimize their checkout operations and improve customer throughput.
Features
- AI-based food item recognition using computer vision for automated scanning.
- Real-time integration with existing Point of Sale (POS) systems as a plug-in solution.
- Compact hardware footprint (6x16cm) designed for easy installation along tablet slides.
- Automated menu import and one-click item learning for simplified setup and updates.
- visionanalytics platform for data-driven insights into sales, quality assurance, and food waste reduction.
- Touchless transaction process to enhance hygiene and customer convenience.
- High transaction speed and accuracy to minimize customer wait times.