DTiQ Wewnętrzna szybkość obsługi
Zapewnij gościom lepsze wrażenia bez uszczerbku dla szybkości obsługi.
Wewnętrzna szybkość obsługi
Uzyskaj wgląd w wrażenia gości dzięki Inside Speed of Service DTiQ. Rozwiązanie analityki wideo DTiQ wykorzystuje zaawansowaną sztuczną inteligencję i uczenie maszynowe, a także dostosowane inteligentne algorytmy, aby z łatwością zwiększyć szybkość obsługi. Zapoznaj się z praktycznymi spostrzeżeniami dzięki historycznym raportom trendów, aby poinformować użytkowników, kiedy ich kluczowe wskaźniki wydajności są spełnione - a kiedy nie - aby można było podjąć właściwe decyzje w celu zwiększenia wydajności operacyjnej.
DTiQ In-store Speed of Service Dashboard
A new generation of our In-Store Speed of Service dashboard that helps you improve your store operations, customer experience, and sales results. Already used by over 1,000 stores.
• 24/7/365 speed of service analytics
• Real-time customer flow metrics – Track in-store movements, wait times, and service efficiency with data that can't be altered by employees.
• Key performance indicators – Number of customers entering, waiting to order, waiting to receive orders, and peak times by daypart.
• Operational excellence – Adjust staffing, review promotions, and optimize operations based on live data to improve customer experience and boost sales.
• Customizable reporting – Access data and video reports on demand in hourly, daily, and weekly time slices, exportable to Excel for in-depth analysis.
• Big Data integration – Dive deeper into trends using your BI tools
Get started• 24/7/365 speed of service analytics
• Real-time customer flow metrics – Track in-store movements, wait times, and service efficiency with data that can't be altered by employees.
• Key performance indicators – Number of customers entering, waiting to order, waiting to receive orders, and peak times by daypart.
• Operational excellence – Adjust staffing, review promotions, and optimize operations based on live data to improve customer experience and boost sales.
• Customizable reporting – Access data and video reports on demand in hourly, daily, and weekly time slices, exportable to Excel for in-depth analysis.
• Big Data integration – Dive deeper into trends using your BI tools
Monitor the customer experience across various real-time dimensions, including entry/exit count, customer count, average wait time, and customers in line.
Empowering operators and owners with AI-driven insights to make informed decisions that enhance store performance and improve speed of service, customer experience, operational efficiency, and loss prevention.
Make informed decisions to improve your speed of service with actionable insights.
Once you measure it, you can improve it.
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Compare number of customers in store at any given time with staff on hand, helping to manage labor costs.
Optimized speed of service: leaving your guests wanting to come back for more.
ACTIONABLE INSIGHTS
Providing real data and metrics for fast action
In-store customer flow
Real-time data and metrics, generated by computer vision, that cannot be altered or manipulated by employees, ensuring accuracy in monitoring in-store customer flow.
- Number of people entering a store
- Amount of time customers wait to place and receive their order
- Average queue length
- Sales per customer entry
Complimenting product:
DTiQ Peak Times Speed of Service Dashboard
A redefined version of Inside Speed of Service with a customizable selection of time-of-day for quickly finding bottlenecks and opportunities during peak hours. A plug-and-play solution for business operators.
• Monitor up to 3 business hours – Focus on 3 key hours per day like your peak hours when you need to maximize your revenue
• Location rankings – Instantly identify best or worst performing stores
• Pre-filtered data – Data is pre-filtered and sorted by a traffic light system so you can action upon the data, instantly
• Comparative analysis – Compare by day or week and identify opportunities for improvement
Learn about Peak Times Speed of Service• Monitor up to 3 business hours – Focus on 3 key hours per day like your peak hours when you need to maximize your revenue
• Location rankings – Instantly identify best or worst performing stores
• Pre-filtered data – Data is pre-filtered and sorted by a traffic light system so you can action upon the data, instantly
• Comparative analysis – Compare by day or week and identify opportunities for improvement
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