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As technology evolves and is a big part of how the restaurant industry works. Major restaurants are looking into data for answers of their guests behaviors with hopes to find opportunities to increase sales and further their success.

Our modern Point of sale POS system show restaurant owners metrics like the number of times an extra ingredient was requested. After checking at this data is decrease or increase the stock you have for that ingredient, you could be missing out on a big chunk of revenue.

That’s where data analytics can be a blessing in disguise.

With the competition for restaurant clients getting fiercer, analyzing the reports and metrics associated with your operations becomes integral to your role as owner or manager.

With our technologies POS integration, restaurant data is becoming useful for business owners and managers. What If you could know why a certain day of the week attracts fewer customers, or if you could use the frequency of special requests to engineer your menu?

With the right use of restaurant data analytics, you can.

Let’s take a closer look at how you can use them to increase your revenue, and what data analytics are, how they affect the various aspects of a restaurant.

What are Restaurant Data Analytics?

Restaurant data analytics is the process of analyzing every datapoint related to your business and converting them into meaningful insights, which is important in helping staff training, improve menus, marketing campaigns and restaurant policies.

Different from simple restaurant reporting, which involves looking at a compiled list of core metrics to compare profits and sales between specific periods, restaurant analytics allow you to do a deep dive into the numbers to better understand why your business is performing in a certain way.

So, if you want to know why you get more orders for seafood entrees on Tuesdays or why a certain member of the staff is performing better than others, let your restaurant analytics take the lead.

Shortcut to Success: How Data Analytics Improve Revenue

While restaurant data analytics aren’t some form of a silver bullet that’s going to significant improve your revenue, they can present you with actionable and robust insights that can help you make important business decisions.

Let’s see an example, evaluating sales metrics like sales per server can help you identify staffing issues that may be affecting your restaurant revenue. If a server generates the same amount of revenue throughout the week, and only certain hours bring a revenue dip, data analytics will be able to tell you where losses happen, and where you might be able to benefit from additional manpower. Awesome, right?

Likewise, analysis of the data from your system can be used to identify why certain items sell good, who ordered what and how much of it, and other front-of-house insights. This can be used to improve your menu, as, if you evaluate what entries are being ordered in what amounts, you can introduce more of such items on the menu.

Also, you can gain an understanding of what menu categories – from entrees and appetizers to beverages and side items are most popular, which can help you decide which items you should highlight in your sales and marketing campaign.

Truly competitive restaurants are utilizing analytics solutions for a variety use cases, including:

Table turnover optimization

Sales forecasting

Customer profiling

Lifetime value and repeat customer trends

Operations improvement

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Before you go...

Get a leg up on the competition.

*conditions apply, this offer can’t be combine with other promotions,
ask to your Rep for more details.

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