Berry AI Drive-Thru Timer vs Fingermark Eyecue
Berry AI Drive-Thru Timer
berry-ai.com
Fingermark Eyecue
fingermark.aiSide by side
| Figure | Berry AI Drive-Thru Timer | Fingermark Eyecue |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Restaurant Drive-Thru Software | 7.3 (#9) | 7.4 (#8) |
| Purpose | The camera-based system measures speed of service across the drive-thru customer journey. | Eyecue uses AI and computer vision to monitor QSR operations and reveal performance issues across restaurants. |
| Security | Berry AI lists ISO 27001 under its enterprise-grade security information. | The product page states Eyecue is SOC 2 Type II compliant and describes end-to-end encryption, role-based access, continuous network monitoring, and independent penetration testing. |
Plans
Berry AI Drive-Thru Timer
- Berry AI Drive-Thru TimerPriced on request
In their own words
Berry AI Drive-Thru Timer
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.
Fingermark Eyecue
Fingermark Eyecue uses AI and computer vision to help quick-service restaurants monitor operations and spot performance issues across locations. Its central hub provides multi-location dashboards, configurable camera views, and access on desktop and mobile. Teams can set alerts for conditions such as queue depth or wait times, then route them by text, email, or dashboard. Analytics include operating-stage breakdowns, shift trends, location benchmarks, KPIs, and leaderboards. Context Capture shows front- and back-of-house activity around performance drops, and teams can tag footage for staff training. Heatmaps and trajectory views show movement through restaurants and drive-thrus to help identify bottlenecks. Eyecue works with most existing IP cameras or purpose-built packages; an edge server handles continuous recording and AI tasks. Listed integrations include Adyen, Cog, Hiauto, Ingenico, NCR, Oracle, and PAR, as well as a Qu POS connection. The cloud platform has customer-specific retention settings. Installation, training, onboarding, a dedicated customer success manager, and 24/7 technical support are included. Pricing is available on request.