Your restaurant’s POS probably knows a lot more about your business than you ask it.
Most operators use POS reporting for the essentials: yesterday’s sales, labor costs, maybe a product mix report to see what’s selling.
But every transaction adds another piece to a much larger dataset. Your POS knows when an order happened, what was ordered, what was changed, who sold it, how much the guest spent and whether something went wrong.
Depending on your system, it may even know whether that customer has eaten with you before.
The trick isn’t learning how to run more reports.
It’s learning which questions to ask.
Here are seven questions worth asking – and how to get your POS most of the way toward answering them.
1. When Are You Actually Busy?
You probably know your busiest night.
But do you know whether Tuesday is actually slow, or whether Tuesday lunch is slow while dinner performs perfectly well?
Is August really your slow month? Or do two terrible weeks at the end of summer drag down an otherwise normal month?
How to Find It
Start with the simplest report your POS has: sales by date and time.
Don’t compare this Tuesday with last Tuesday. Pull several months of data and compare like periods: Tuesdays against Tuesdays, lunch against lunch, January against January.
Toast, Square, Lightspeed and Clover all provide historical sales reporting that can reveal these patterns. Lightspeed even has dedicated Time of Day and Day of Week reporting.
What You’re Looking For
The numbers that look out of place.
Maybe most Tuesdays are predictably slow – but the first Tuesday of every month is strangely busy.
Don’t average that away. Ask why.
Maybe a nearby bowling league meets that night. Maybe there’s a recurring event down the street. Maybe payday, a convention schedule or something else in your neighborhood regularly changes customer behavior.
The same thing works in reverse. If Saturday nights are consistently strong but one Saturday was terrible, don’t let that single night convince you Saturdays are weakening. There may have been a snowstorm, street closure or competing event that explains it.
The odd numbers help you understand the normal ones.
Once you know what usually happens – and why certain days deviate from it – you have a much better baseline for recognizing when something in your business has actually changed.
2. What Do Your Regulars Order?
Now let’s ask your POS something you may not realize it knows.
What do the people who repeatedly choose your restaurant order differently from everyone else?
Imagine your burger is your bestseller. But when you isolate repeat customers, another dish dramatically overperforms.
The burger might get people through the door.
The other dish might be helping bring them back.
How to Find It
This depends more on your POS.
Lightspeed users have the easiest path: Advanced Insights includes a Repeat Customer Favorites report specifically designed to identify items disproportionately popular with returning guests.
Square automatically maintains a Regulars customer group – by default, customers who visited three times in the previous six months – and keeps transaction histories for recognized customers.
Toast users: Your core POS already collects guest and order-history data, so start there. Toast Loyalty can make repeat guests easier to identify and analyze by linking purchases to known customer profiles, but Loyalty is a paid add-on. Toast currently doesn’t publish a standalone price for it, so you’ll need to check your existing package or ask Toast for a quote.
What You’re Looking For
Don’t simply find what regulars buy most.
Find what they buy disproportionately more often than everybody else.
That’s the difference between discovering another bestseller and discovering something that might be unusually important to customer retention.
Customer identification isn’t perfect. Cash purchases can disappear from the picture, and changing payment methods can complicate things. But some POS systems are getting surprisingly good at connecting the dots. Lightspeed, for example, can associate purchases made with different credit cards bearing the same name with an existing guest profile. You don’t need a perfect record of every customer to spot meaningful differences between occasional guests and the people who keep coming back.
3. When Do Your Customers’ Tastes Change?
Every restaurant has some sense of seasonality.
Soup sells when it’s cold. Patios sell rosé when it’s warm.
But when does that change actually happen in your restaurant?
Maybe rosé doesn’t gradually fade away with summer. Sales hold steady until one particular point in September, when red wine suddenly starts gaining ground.
Maybe burgers and fries dominate all summer, but the first stretch of genuinely cold weather is when customers start ordering chicken soup and pie.
Or maybe an item you think of as seasonal isn’t particularly seasonal at all.
Knowing when those shifts happen can help you change purchasing, prep, specials and promotions before customer behavior changes instead of noticing afterward.
How to Find It
Start with two menu items that you suspect move in opposite directions.
Rosé and red wine. Soup and salad. Cold brew and hot coffee.
Then use your POS’s item-sales or Product Mix report to compare their quantities sold across several months. If possible, look at the same period in previous years as well.
You don’t need to build a graph or export anything to Excel. You’re simply looking for the point where one item’s sales begin falling while the other starts climbing.
Toast, Square, Lightspeed and Clover all provide item-level sales reporting across custom date ranges, so this is one of the easier questions to investigate with almost any modern POS.
What You’re Looking For
The crossover.
If rosé falls and red wine climbs at roughly the same time every year, you’ve found something more useful than knowing that “red wine sells better in winter.”
You’ve found when your customers start behaving like it’s winter.
And don’t assume you already know why.
Weather may explain it. But the shift could also follow daylight, holidays, tourism, school schedules, sports seasons, patio season or something peculiar to your neighborhood.
Once you find the date where customer behavior changes, look at what was happening around it.
Your menu may be telling you that the seasons change a little earlier – or later – than the calendar says they do.
4. What Are Your Customers Constantly Changing?
No onions. Extra cheese. Sauce on the side. Sub fries for salad.
Individually, they’re modifiers.
Collectively, they’re customer research.
If guests have removed the same ingredient from an entrée 600 times, that’s no longer a collection of random preferences.
They’re telling you something.
How to Find It
Instead of item sales, look for modifier sales or modifier usage.
Toast can include Modifiers and Special Requests in its Product Mix reporting, including the parent item and frequency. Square has a dedicated Modifier Sales report.
Modifier reporting varies more between POS systems, so some operators will have considerably easier access than others.
Don’t analyze everything.
Pull your most frequently used modifiers and start with the top 10.
What You’re Looking For
Repetition that suggests something bigger than an individual preference.
Maybe an add-on deserves more prominent placement because customers happily pay for it.
Maybe an ingredient is constantly removed.
Maybe hundreds of guests have independently modified an existing dish into essentially the same new dish.
Your customers may already be designing your next menu revision for you.
5. Are You Staffing for the Restaurant You Actually Have?
Most operators already know their labor percentage.
Try asking something more useful:
When is your labor percentage wrong?
A restaurant could finish Tuesday at a perfectly reasonable labor percentage while being overstaffed from 2–4 PM and understaffed during the first hour of dinner.
The daily average hides both problems.
How to Find It
Compare sales and labor by hour.
Toast can break labor costs down by hour and calculate labor as a percentage of net sales. Other major systems can make similar comparisons when employee timekeeping or scheduling data is connected to the POS.
If your staff clocks in somewhere completely separate from your POS, this one may require an integration.
But if the data already lives together, you shouldn’t need a spreadsheet to find the obvious mismatches.
What You’re Looking For
Hours that repeatedly have too much or too little labor relative to business.
Don’t rebuild next week’s schedule because one Tuesday looked weird.
Find a pattern across several weeks.
Then schedule for the restaurant your data says you have – not the restaurant you remember having.
6. What Keeps Going Wrong?
Voids, comps and refunds usually get examined one at a time because something went wrong.
Try looking at them together.
What keeps going wrong?
Does one entrée get comped unusually often?
Do refunds spike during one service period?
Does the same reason keep appearing?
That’s not just loss-prevention data.
It’s a record of your restaurant’s recurring mistakes.
How to Find It
Pull your void, comp, discount and refund reports over a meaningful period – at least several weeks rather than a single shift.
Toast has dedicated reporting for voided orders, removed items, discounts and refunds. Square provides Discount, Comp and Void reporting, and Clover also exposes refund and discount activity.
What You’re Looking For
Not necessarily the employee with the biggest number.
Look for the same item, shift, reason or situation appearing again and again.
One comp is an unhappy customer.
Thirty comps connected to the same entrée may be a recipe, training, menu-description or execution problem.
Your POS may already have a list of the problems your restaurant keeps trying to apologize for.
7. Who on Your Team Is Doing Something Worth Learning From?
Employee sales reports are tempting to turn into leaderboards.
Don’t.
Your Friday-night bartender should outsell someone working Tuesday lunch.
Instead ask:
Who’s doing something unusually well under similar circumstances?
Does one server have consistently higher check averages?
Does somebody sell dramatically more desserts?
Is one bartender particularly good at moving premium spirits?
Does one employee sell a dish everyone else struggles to recommend?
How to Find It
Look at employee or team-member sales reporting, but compare people working similar shifts and roles.
Toast’s Product Mix report can be filtered by employee, and its Employee Productivity reporting goes deeper. Lightspeed has server reporting and can even identify the top-selling servers for individual menu items. Square and Clover also provide employee-level sales reporting.
Pick one conspicuous difference.
Then talk to the person producing it.
What You’re Looking For
A behavior you can teach.
Maybe they describe the special differently.
Maybe they know when to suggest another round.
Maybe they’re simply asking a question nobody else asks.
The point isn’t to identify your “best” employee.
It’s to find something your strongest employees already know that the rest of your team could learn.
Look Past the Dashboard
Your POS dashboard is designed to be useful to thousands of restaurants. Real analysis is about figuring out what matters to yours.
That doesn’t mean you need to dig through reports every week. For an established restaurant, a deeper look once or twice a year may be enough. If you’re trying to solve a problem, quarterly – or more often – might make sense.
More importantly, give your conclusions time. If a year’s worth of data convinced you to make a change, two weeks of results probably aren’t enough to judge whether it worked. You may need another season, quarter or even year for a fair comparison.
Look deeper than the dashboard, make changes when the evidence is strong, and give them enough time to prove you right – or wrong.