Artificial intelligence will analyze waiter-customer interaction in restaurants.

In the food and beverage industry, waiter-customer interaction, which has been managed intuitively until now, is becoming analyzable with NarPOS's new artificial intelligence module. The system, which will be launched soon, will shed light on how table-side communication reflects on sales and service performance, and will provide businesses with operational insights.

In restaurant management, sales data, inventory movements, and table occupancy rates have been tracked through digital systems for years. However, the interaction between the customer and the waiter has remained an unmeasurable area until now. Yet, for many businesses, the fate of sales is often shaped by this few-minute interaction. NarPOS, which offers end-to-end solutions in restaurant automation and financial technologies, has announced an artificial intelligence module that analyzes this process, one of the industry's "black boxes."

The system, which will soon be piloted in select restaurants, aims to provide businesses with operational insights by analyzing anonymized data obtained from customer-waiter interactions during service.

For many businesses in the sector, understanding customer behavior still relies on staff observations or daily reports. Questions like "Do customers ask about this product?" or "Which recommendations lead to sales?" are often answered with personal opinions rather than concrete data. This can cause businesses to miss important insights, especially during peak service hours.

NarPOS Artificial intelligence algorithms developed by engineers can analyze conversations during service at a semantic level and identify specific communication patterns. This allows restaurants to measure the impact of table-side communication on sales performance. The system can report, based on anonymous data, which recommendations resulted in sales, which requests could not be fulfilled, and which off-menu items customers inquired about.

Data Privacy and Anonymous Analysis

The system developed by NarPOS analyzes conversations anonymously, generating data only at the semantic level. In accordance with the Personal Data Protection Law, the collected and processed audio data is not permanently stored, and the analysis process only provides businesses with operational statistical insights.

NarPOS Co-Founder and CEO İlyas Akça stated that the new module aims to transform a crucial invisible area in restaurant management into data, saying: “Many decisions in restaurants are still based on observation and intuition. However, communication at the table can directly affect sales performance and customer experience. The AI ​​module we have developed will help improve service quality and sales by generating data-driven insights that will enable business owners to better understand this process.”

NarPOS aims to transform previously unmeasurable table-side communication in restaurant management into a new data layer with this technology.