Meet Folio3 AgTech at Western Seed Association’s 2024 Convention in Kansas City, MO. Let us help you unlock higher yields and efficiency. Book a Meeting

High Volume UK Restaurant

AI-Powered Checkout Built to Reduce Customer Waiting.

High Volume UK Restaurant

Problem

The restaurant’s manual POS entry was leading to long queues, frequent input errors, and frustrated customers.

Need

They needed a frictionless self-checkout solution that could minimize delays and remove manual dependencies for sustainable business growth.

Solutions

Folio3 deployed an AI object detection system integrated with POS and AWS for instant food recognition and automated billing.

About

The Restaurant

This UK-based restaurant is recognized for serving authentic, high-quality food with home-style service at accessible prices. A neighborhood favorite since the early 2000s, it’s known for fast service, warm ambiance, and consistently high footfall, making checkout efficiency crucial to its customer experience.

The Restaurant
Long Waits & Errors Were Slowing a High-Speed Service Model

Understanding the Challenge

Long Waits & Errors Were Slowing a High-Speed Service Model

Despite strong customer loyalty, the manual self-checkout POS was causing friction, long queues, frequent entry mistakes, and time-consuming processes affected the restaurant’s promise of quick service.

Key Challenges include:

A Self-Checkout System Built for Speed and Accuracy

Folio3 developed and deployed a machine learning–powered food detection system integrated into the client’s POS and AWS environment, completely changing checkouts from a manual process into an effective, automated experience.

Building the Solution

Key features and offerings included:

Trained a computer vision model to instantly detect and identify food items placed on a tray under the POS camera, reducing user effort and recognition time to seconds.

Hosted the AI model on AWS to ensure high availability, real-time performance, and secure data handling, enabling fast detection and billing even during peak hours.

Built a logic layer that maps detected items to their prices in real-time, generating accurate bills instantly without requiring manual input or user confirmation.

Integrated the AI-based detection and billing workflow into the restaurant’s existing POS system. No need for infrastructure overhaul or added complexity.

A Self-Checkout System Built for Speed and Accuracy
Turned Vision AI Into Tangible Business Wins.

Turned Vision AI Into Tangible Business Wins.

Within six weeks, the restaurant moved from an error-prone manual flow to an automated, intelligent checkout experience, drastically improving throughput and setting the foundation for scalable digital transformation.

30% Drop in Queue Time

Significantly reduced queue time during peak hours, allowing more footfall, and a consistently better experience.

Cut down average transaction time per customer, enabling faster table turnover and improving overall service efficiency.

Eliminated human input in order entry, reducing billing mistakes and improving order accuracy, customer trust, and operational confidence.

AWS-based deployment enabled real-time processing, scalability, and cloud reliability, paving the way for multi-branch rollout and long-term innovation.

The Resulting Transformation

In the Words of Our Clients

Read what our clients say about their experiences and the difference our solutions have made for them.

Serving the FoodTech Industry Globally Since 2004