Overview

The In-Store Speed of Service solution from DTiQ offers retailers, convenience stores, and quick-service restaurants a SaaS platform powered by computer vision and AI. It enables continuous monitoring of in-store guest flow, wait times, and service bottlenecks, providing both real-time and historical analytics. With metrics such as entry counts, queue lengths, orders pending, and peak-time performance, operators can make data-driven decisions to optimize labor, layout, and workflows for faster service and improved customer experience.

Features and Capabilities

• Real-time Service Monitoring: Track how many customers enter, wait to order, wait to receive service, and identify delays as they happen.
• Video Analytics & Computer Vision: Use video feeds combined with AI to generate unbiased metrics that cannot be manually altered by staff.
• Customizable Dashboards & Reports: Hourly, daily, and weekly slices, exportable to Excel or BI systems, enabling flexible reporting and drill-down.
• Peak Time & Location Ranking: Focus dashboards on critical business hours, compare locations, highlight best/worst performing stores, and use traffic-light style filtering.
• Staffing & Operational Optimization: Align staffing levels and promotional activity with real traffic and wait-time data, improving throughput and efficiency.
• Big Data & POS Integration: Combine in-store service speed data with POS and other enterprise data for deeper trend analysis and ROI insights.
• 24/7 Continuous Coverage: The solution supports ongoing monitoring every day, enabling proactive management of guest experience across hours of operation.