Fingermark Eyecue

What Fingermark Eyecue is

Fingermark Eyecue uses AI and computer vision to surface operational performance issues across quick-service restaurants. A central hub provides multi-location dashboards, customizable camera views, and access from mobile devices or desktop browsers. Teams can set alerts for conditions such as queue depth and wait times, then route them by text, email, or dashboard. Analytics include stage-by-stage breakdowns, shift trends, cross-location benchmarks, KPIs, and leaderboards. Context Capture shows front- and back-of-house activity around performance drops, and footage can be tagged for staff training. Heatmaps and trajectory views illustrate movement patterns in stores and drive-thrus to help identify bottlenecks. Eyecue works with most existing IP cameras or purpose-built camera packages; an edge server supports continuous recording and AI work. Listed integrations include Adyen, Cog, Hiauto, Ingenico, NCR, Oracle, and PAR. The cloud platform supports customer-specific retention settings. Fingermark states that Eyecue is SOC 2 Type II compliant and describes encryption, role-based access, network monitoring, and independent penetration testing. Installation, training, onboarding, a customer success manager, and 24/7 technical support are included. Pricing is available on request.