How Predictive Ordering Works: 3-Phase Roadmap to ROI
Anuba combines Edge servers, cameras and AI drive-thru technology to predict orders before they’re placed. Built for QSRs, it helps teams serve more cars per hour, reduce wait times, and increase ticket size – while easing staff pressure with AI kitchen optimisation. Most locations see ROI in about 90 days
Phase 1: Vehicle Recognition & Analytics
Edge-powered cameras perform real-time vehicle recognition immediately detects cars in the lane and track wait times. This data powers queue analytics and predictive ordering, giving QSR faster throughput
• Real-time vehicle recognition & queue monitoring
• AI traffic flow and pattern analysis
• Integration with existing POS systems
Timeline: Week 1-2
Vehicle Intelligence Dashboard
Analytics & Insights Platform
Phase 2: Drive-Thru Analytics
Timeline: Week 3-8
Ai-powered drive-thru analytics track vehicles, wait times, and lane flow in real time. QSR operators gain predictive insights to cut queues
• Customer behavior & demand forecasting
• Staff optimization with AI recommendations
• Real-time operational alerts for QSRs
Phase 3: Predictive Ordering
AI-powered predictive ordering software uses vehicle recognition and customer patterns to suggest menu items early and optimize kitchen prep for faster drive-thru service
• AI predictive ordering & customer profiles
• Automated upsells in QSR drive-thrus
• AI kitchen prep time optimization
Timeline: Week 9-12
Predictive Ordering Engine
See Results with Predictive ordering through Smart Drive-thru Infrastructure
Franchise owners use Anuba’s AI drive-thru infrastructure to cut wait times, increase ticket size – ease staff pressure through smarter kitchen optimization
Start a pilot with one pilot site and scale across every QSR location