Drive-Thru Performance User Guide

Welcome to your guide for Drive-Thru Performance, an AI-powered solution that transforms your existing cameras into a real-time tool for operational excellence. This system provides the actionable insights you need to reduce bottlenecks, improve throughput, and enhance customer satisfaction right from your store.

This guide will walk you through the key components at your disposal: the in-store Heads-Up Display, the online Dashboard and Reports, and your configuration settings.

The Heads-Up Display: Your Real-Time Operations Monitor

The on-premise monitor, or Heads-Up Display, is your team’s live view into the performance of your drive-thru. It is designed to provide real-time, scannable information that empowers your staff to make meaningful decisions in the moment.

Key Components of the Heads-Up Display:

• The Racetrack: This visual element at the top shows the current status and location of each vehicle in the drive-thru, providing an at-a-glance view of the flow.
• Zones: These are the distinct stages of your drive-thru. The system tracks how many cars are in each zone (Vehicle Count/Queue) and how long they have been there (Dwell Time). Common zones include:
  • Pre-Menu Queue: The line of cars before the menu board—a critical blind spot for traditional systems and a leading indicator of potential abandonments.
  • Order: The area at the menu board.
  • Payment: The window where customers pay.
  • Pick-Up: The final window where customers receive their order.
• Calculations: These widgets provide key performance indicators (KPIs) based on zone data.
  • Order to Delivery Time: The industry-standard metric measuring the time from a guest placing their order to receiving it.
  • Total Journey Time: A complete measure of the guest experience, tracking from when a car enters the line to when it exits.
  • Throughput (Cars Served): The number of vehicles that have completed the entire journey, typically measured per hour.
  • Abandonments: A live count of cars that entered the pre-menu queue but left before ordering, representing lost revenue.

Understanding Alerts: Turning Data into Action

Each widget compares real-time performance against your set goals. When performance deviates, the widget changes color to alert your team.

• Yellow Alert (Warning): A widget turns yellow when a metric exceeds its first threshold. This is a warning that a zone needs attention before it becomes a critical issue.
  • Example Action: If the Pick-up Dwell Time turns yellow, your drive-thru lead might assign an expediter or use pull-forward spaces to keep the window clear.

• Red Alert (Urgent): A widget turns red when a metric surpasses its second, more critical threshold. This requires immediate action to resolve a bottleneck.
  • Example Action: If the Pre-Menu Queue Length turns red, the lead might deploy a team member with a handheld tablet to take orders directly from the line.

Best Practice: Use brand-specific goals and suggested real-time actions as a playbook to train your team on how to respond to alerts effectively.

Dashboard & Reports: Analyzing Historical Performance

While the on-premise monitor is for in-the-moment action, the Envysion application provides powerful tools for managers and owners to analyze historical trends.

The Operations Dashboard

The dashboard provides a visual snapshot of your drive-thru’s performance over previous days. You can:

• Track speed of service trends by daypart, day, or week.
• Compare store performance side-by-side to identify best practices.
• Use historical data to make smarter staffing decisions for peak hours.

The Drive-Thru Performance Report

This report allows you to dive deep into the data for investigation and training. You can:

• Review every metric for any individual vehicle journey that occurred.
• Find coachable moments with synchronized video from multiple cameras, creating powerful “game tapes” for training.
• Set up automated daily or weekly email notifications to stay on top of performance.

Configuration: Tailoring Drive-Thru Performance to Your Store

Your Drive-Thru Performance system has two layers of customization: a backend setup managed by an administrator and a visual layout that you can control.

Backend Configuration (Admin Setup)

The core logic of the system is configured by a trained administrator to match your site’s specific operational needs. This includes:

• Defining Custom Zones: Digitally mapping your physical drive-thru, including specific areas for queues, payment, and pick-up.
• Creating Widgets: Setting up the specific KPIs you want to track, like Total Journey Time or Abandonments.
• Setting Dynamic Goals: Programming performance targets for different times of day and days of the week (e.g., “Weekday Lunch” vs. “Weekend Lunch”).

Monitor Layout Customization (Your Control)

Once the backend is configured, you have control over the visual presentation on your in-store monitor. Using the Site Settings page, you can:

• Arrange the Layout: As shown in your screenshot, you can drag and drop the available camera feeds and data widgets into different layouts.
• Choose Your View: This allows you to organize the monitor in a way that makes the most sense for your team, prioritizing the information they need to see at a glance.
• Remote Preview: You can see exactly how the monitor will look before applying the changes, without having to be on-site.

Self-Service Troubleshooting

The system includes built-in features to help you maintain trust in your data.

AI Anomaly Identification

When the system detects a technical issue, it will inform you directly on the monitor.

• Error Icons on Widgets: Affected metrics will be highlighted with an error icon.
• A Banner Message: A scrolling banner at the top of the screen will provide a clear explanation (e.g., “menu cannot be located on the network”).
• Reliable Data Indication: This ensures you know which data is currently inaccurate while also showing which metrics can still be trusted.

Understanding System Corrections (The Yellow Warning Icon)

A yellow warning icon on a vehicle on the racetrack indicates that the AI is making a correction, such as removing a “Ghost Car” caused by a sensor glitch. If you see these icons constantly, it may indicate a persistent issue, like an obstructed camera view.

Common Accuracy Issues to Check

AI accuracy depends on clear camera views. Common issues include:

• Large Vehicles: The system can struggle if a truck is too large or too close to the camera.
• Obstructed Views: Physical obstructions like garbage bin doors, overgrown trees, or umbrellas can cause missed detections.

Remember: Great views drive accuracy!