As good as one’s judgment and intuition, a good entrepreneur should be also a good data analyst in order to make decisions based on facts, not feelings. In order to be able to see all the facts at any time, entrepreneurs can now rely on software. In gastronomy, operational management and data analysis are possible with a modern POS system.
Restaurants, cafes, or even bars can all improve their processes and increase customer satisfaction by taking a closer look at certain data from their online POS system. Find out now how you can make better use of the data at your disposal and which data reports you should pay attention to.
Data Analysis for Customer Satisfaction
Data makes transparency possible
The fact that the customer is king is nothing new, but the latest gastronomy trends show us that the customer is now becoming even more critical than ever. The fact that the average customer today has the opportunity to obtain information on any topic has increased the expectations placed on all companies. This also seems to be the case in the catering sector. Companies are taking a step towards transparency as more and more customers want to be involved in the manufacturing process. This means that restaurants, cafés, and bars must communicate more clearly how they produce their food and drinks and which ingredients are in all offerings. By using a mobile POS system companies can clearly present this information to the guest.
A large number of today’s customers expect a service that is not only excellent but also tailored to them. Collecting customer data is very important because, with the help of data, customers can be offered a shopping experience that takes their preferences and personal wishes into account. What does that mean specifically? If regular customers in your restaurant have certain preferences or allergies, you can easily save them in the customer profile. When a new reservation is made by this guest, the staff immediately knows what to look out for.
People love to be the center of attention! Using data to achieve this is therefore a great way to boost loyalty in your customers. For example, a bar can use a customer’s past orders to identify their favorite drink and then automatically order it the next time the customer visits. Similar details like this result in a personalized experience for the customer and increase the likelihood that the customer will return.
Customer data determine the strengths and weaknesses of a company
Customer data also makes it possible to determine more precisely the strengths and weaknesses of a company. Which dishes or drinks are bought frequently, which rather less? What are popular combinations and which products are bought by regular customers? What are the peak times in your company and how many staff do you need at these times? These questions and many more can be answered by analyzing the data collected to ultimately determine what factors could be changed to improve the business.