Mirus Reporter

Menu pricing experts are seeing the old approaches for determining the best price for each item no longer work. The simple explanation for this shift lies in the changes in customer behavior and the financial reality of those customers with the devastation of inflation, and the effects of the pandemic. Learn why menu pricing now requires Market Basket Analysis. 

When a restaurant company originally adopts a restaurant analytics platform like Mirus, the decision usually hinges on one key issue within the company, whether that be:

• Consolidated reporting above store (Operations)
• General Ledger feed (Finance)
• Analysis of promotions or LTOs (Marketing)
• Payroll feed (HR)
• Visibility into franchise stores (C-Level)

Each of these key issues usually impacts a specific department, which can lead to the impression that the platform is only a _{FILL IN THE BLANK} tool; only a Finance tool if you are using it to export to your GL system, or only an Operations tool if you are using it for consolidated above store reporting. However, you are losing out on the inherent value and flexibility of your restaurant analytics platform if you’ve got it siloed away into one area of your company. 

Let’s review each of the key restaurant departments and see how a restaurant analytics platform can be tailored to meet each department's needs.

In a prior blog post, How to use PMIX Analysis, I wrote about Restaurant Product Mix in various stages of reporting complexity from Basic to Advanced Reporting and how each view can provide different insights. Today’s blog is going to capitalize on that prior issue but also take a different view in an effort to expand on the uses for PMIX.

As the restaurant industry undergoes constant changes, the importance of operational execution becomes even more crucial. Clear visibility into the execution of operations is vital for long-term success. This visibility is derived from your capacity to convert data into actionable information, providing clarity for both you and your team.

The Roaring Twenties has a lot of similarities to what has been going on in recent times. In the early 1920's, it was a time of hope and prosperity. With WWI over, the economy was booming, jazz was all the rage, women's rights was a critical topic, and people were out spending lots of money.

A restaurant’s marketing department might use a slew of strategies to determine where their brand strategy is going in the next few months. Whether that means adding new items to the menu, incorporating new combos, and/or other customer-related experiences, data integration can help restaurants make fact-based decisions using real-time information. Continue reading to find out more about the benefits of utilizing restaurant data to help with marketing tactics.

Analyzing Customer Grain Details?

For the most part, restaurants in the past have operated knowing very little about their loyal customers. There are some exceptions, such as pizza delivery concepts, where they have been collecting detailed grains like customer's full name and home addresses.

However, today with the increased competitiveness and shifting preferences of a new generation, it's imperative the restaurants understand all they can about their customers. If the goal is to keep current customers while also trying to attract new customers, you have to leverage the data your restaurants are producing. That way you can understand what's working and what's not.

Customer grain details in restaurant reporting can help you do just that. Watch the presentation below to learn more about customer grain and how your restaurant leadership can use the information to make better business decisions.

Since the inception of your restaurant business you’ve probably tried a variety of methods to engage, grow and retain your customer base because you understand that getting to know your customers and their behavior patterns is crucial for your business. And we know that it is more cost-effective to retain an existing customer than to acquire a new one. However, from the perspective of data, the check number is the only identifier for a customer’s activity. So unless you are using a guest loyalty program that identifies the customer’s name, email, phone, etc., you have no idea who the person is on any given check.

Gone are the days of consumers ordering meals from menus delivered in the mail or left at their doorsteps. The frustration of dictating the order and repeating credit card information to a restaurant employee, struggling to hear over the background noise of a bustling restaurant is coming to an end. Once again, technological strides have brought us one step closer to making our lives easier. All we have to do is download the app, put in our location, and we're shown dozens (if not hundreds) of restaurants in our area that we can choose from. Whether placing an advanced order through an app and having the food waiting for you upon arrival or getting meal ideas for delivery by having access to a plethora of choices, the food ordering apps were intended to take us to the next level of convenience.

Measuring success or failure of a system that improves decision making is challenging in many respects. But, the Same Store Sales (SSS) metric can be useful, especially when applied to a long period of time, and across thousands of restaurants. SSS is caluclated as a percentage change from last year to this year, and only uses locations that are open for both years.