More restaurants are adding mobile, digital experiences into their daily workflows. This shift is often the result of guest expectations, driving more restaurateurs to adopt guest-friendly, automated table services. While quick-service establishments use automated order and payment technologies, including self-service kiosks for guests looking to get in and get out quickly, traditional table service restaurants want progressive solutions that will not only enhance the guest experience, but also automate workflows. Pay-at-Table is at the top of list, and today we outline the top four reasons it’s so desirable among restaurant operators.
- Streamlined Service
For those of us who have been outside the U.S., we’ve see first-hand how restaurants operate a little differently. We understand and appreciate the streamlined service that takes place when a server brings a payment device to the table. We see the comfort that guests have when they’re able to process their payment in their own time, without waiting for the server to bring a check, take it away, process the card payment, and return with a receipt. The guest perception, and the reality, is improved service flow.
- Improved Security
While item images on the POS tablet make order placement fast and easy, Pay-at-Table helps to safeguard payment data and to reduce the risk of fraud. With a P2PE (point-to-point encrypted) and EMV-ready payment solution, the added security that comes with the Pay-at-Table actually enhances the guest experience by providing one of the most secure, efficient payment transactions available today.
- Boosted Revenue
Pay-at-Table helps automate staff workflows with quicker order and payment transactions that allow more time for guest interaction and personalized service. Often, the guest is satisfied and inclined to spend a little more than they may have otherwise, boosting overall revenue.
- Integrated Analytics
A complete order placement and pay-at-table solution also helps restaurateurs track important business metrics, such as guests per table, orders per table, revenue per table, and identify areas for staff training or other improvements. These key data contribute to optimized operations and help strengthen revenue potential.