Berry AI Drive-Thru Timer vs Omilia Drive-Thru Voice AI

Berry AI Drive-Thru Timer uses cameras to measure service speed across a drive-thru customer journey. It tracks pre-menu queues, ordering, window time, pull-ahead waits, and curbside arrivals, and can identify vehicles that leave before ordering. For line-busting operations, it measures pull-ahead wait times, throughput, and speed across lanes. Live metrics appear on kitchen monitors and cloud dashboards. Daily reports help store managers identify trends for staffing and operating decisions, while brand leadership can compare performance across locations. Above-ground cameras can be installed without shutting down drive-thrus for loop repair. Berry AI says the platform connects with existing workflows and POS ecosystems. Its enterprise security information lists ISO 27001. Support documentation says cameras do not record or store video footage by default. The product is intended for QSR operators, owners, and brands. It is a paid, hybrid-deployment service for web use.

Omilia Drive-Thru Voice AI automates ordering conversations for quick-service restaurant drive-thrus. Omilia says it can handle more than 95% of orders while recognizing accents, background noise, complex phrasing, and natural language. Its menu coverage includes regional items, limited-time offers, and modifiers. Completed orders go to the Kitchen Display System and appear on-screen for confirmation before the vehicle moves forward. Upsell prompts adapt to the order, time of day, and promotions; Omilia says they produce a 3–8% lift in average check size. If a guest needs a person, the conversation transfers to a crew member with order context retained. Integrations include POS, KDS, HME Nexeo headsets, DMB systems, loyalty programs, and REST API connections to QSR systems, with custom links for proprietary or legacy POS systems. Activation is described as requiring no in-store technical resource. Pricing is on request, with a demo available.