How to Increase Average Order Value in a Restaurant

What Is Average Order Value in a Restaurant?

Average Order Value is simply the average amount of revenue generated from each order.
For example, if your restaurant generates ₹1,00,000 from 200 orders, your average order value is ₹500. That number gives you a useful way to understand how customer spending is changing. If your restaurant receives the same number of orders but your AOV rises, total sales increase without requiring more customers. Imagine your restaurant serves 200 orders every day. At an AOV of ₹500, daily revenue is ₹1,00,000.
If you increase AOV to ₹550, those same 200 orders generate ₹1,10,000.
That is an additional ₹10,000 per day without acquiring a single extra customer.
This is why Amello doesn't only help restaurants look at total sales. Amello helps you understand what is happening inside those sales.

1. Understand What Customers Are Already Ordering

Before trying to increase AOV, understand current ordering behaviour.
Look at:

• Your most frequently ordered dishes

• Average bill size

• Frequently purchased combinations

• High-value orders

• Low-value orders

• Popular add-ons

• Items commonly ordered together

• Differences between dine-in and delivery

• Differences between weekdays and weekends

Suppose customers regularly order pizza but rarely add beverages.
That is an opportunity. Or perhaps customers ordering biryani frequently add raita but rarely discover your dessert menu. That is another opportunity.
Amello can help restaurants identify these patterns by connecting order and item-level performance instead of forcing owners to manually inspect hundreds of bills.
The first step toward increasing AOV is understanding what customers already do.

2. Find Items That Are Frequently Ordered Together

Customers naturally create combinations.
One customer might regularly order: Burger + Fries
Another: Pizza + Garlic Bread
Another: Biryani + Raita
Another: Coffee + Dessert
These patterns are extremely useful.
If customers already tend to order two products together, you can make that combination easier to discover.

This might mean:

• Creating a combo

• Showing the add-on during ordering

• Giving the pair stronger menu placement

• Training staff to suggest the combination

• Featuring the combination in marketing
  The important distinction is relevance. Random upselling feels annoying.
  A recommendation based on natural customer behaviour feels helpful.
  With Amello, restaurants can look beyond individual dishes and understand how menu items perform together.

3. Create Smarter Combos Instead of Random Discounts

Combos can increase AOV when they are designed properly. But simply putting three items together and reducing the price is not automatically a good strategy.
A strong combo should make sense to the customer and the restaurant.
For example:
Main + Side + Beverage
or: Two Mains + Starter + Dessert for Two
For family orders: Family Meal + Drinks + Dessert
The combination increases the overall bill while giving customers a convenient decision.
Before creating a combo, ask:

• Do customers already buy these items together?

• Does the combination protect margins?

• Is the bundle easier to understand than ordering separately?

• Does it genuinely improve the dining experience?

Amello can help identify which items are already performing strongly and which combinations have the potential to increase order value.

4. Use Menu Engineering to Push the Right Items

For dine-in restaurants, your team has a major influence on average order value.
But there's a big difference between selling and recommending.
Consider: “Would you like anything else?”
versus: “Our truffle fries go really well with that burger. Would you like to add one?”
The second recommendation provides context.
Similarly: “Would you like dessert?”
is weaker than: “Our baked cheesecake is one of our most popular desserts. Would you like to share one?” Give staff simple information about:

• Popular combinations

• Signature dishes

• High-performing add-ons

• Premium alternatives

• Desserts

• Beverage pairings

• New items

When staff understand what customers enjoy, recommendations become more natural.
Amello can support this process by showing restaurant owners which dishes and combinations are actually performing rather than relying entirely on assumptions.

7. Introduce Premium Choices

Not every customer wants the cheapest option.
Some customers are willing to spend more when there is a clear reason.
Restaurants can increase AOV by offering meaningful premium choices such as:

• Premium ingredients

• Larger portions

• Chef-special preparations

• Signature dishes

• Premium beverage options

• Sharing platters

• Upgraded sides

For example:
Instead of offering only one burger, you might offer:
Classic Burger — ₹399 Signature Truffle Burger — ₹549
The goal isn't to make the basic option worse.
It is to create a stronger option for customers willing to spend more.
Use Amello to see whether premium dishes are actually being selected and how their performance changes over time.

8. Increase Dessert and Beverage Attach Rates

Desserts and beverages are often overlooked opportunities.
A customer may finish ordering their main dishes and feel that the order is complete.
If beverages and desserts aren't surfaced at the right moment, they may never consider them. Track how often a main order includes:

• A beverage

• A dessert

• A starter

• A side

This is sometimes called an attach rate.
For example, if 500 customers order a main course but only 50 order dessert, your dessert attach rate is relatively low.
Before immediately discounting desserts, investigate why.
Maybe:

• They're difficult to discover

• The photographs aren't appealing

• Staff don't recommend them

• The selection is too large

• Customers don't understand the portions

• The strongest dessert isn't getting visibility
  With Amello, restaurants can spot item trends and identify where additional order value may be getting lost.

9. Personalize Recommendations for Different Customers

Not every customer should receive the same recommendation.
A family ordering ₹2,500 worth of food has different needs from someone ordering lunch for one. Similarly, a customer who repeatedly orders vegetarian dishes shouldn't constantly receive irrelevant recommendations. Useful customer contexts might include:

• Family orders

• Couples

• Individual orders

• Frequent customers

• High-value customers

• Vegetarian customers

• Customers who repeatedly buy certain dishes

This is where customer and order data become especially useful.
Amello can help restaurants understand customer cohorts and ordering behaviour so campaigns and recommendations are based on actual behaviour rather than generic assumptions.

10. Don't Increase AOV at the Cost of Customer Experience

This is the most important rule. Higher AOV is useful only when customers still feel that they received good value. If every interaction becomes: Add this. Upgrade this. Buy this. customers will notice. Restaurants should optimize for: Better customer experience + higher order value not: Maximum possible bill value at every visit.
Sometimes the right decision is not to upsell. Sometimes the customer already has enough food. Sometimes recommending a smaller portion builds more trust.
A restaurant that consistently provides good recommendations can create higher customer lifetime value even if it doesn't maximize every individual bill.
Amello should help restaurants make better decisions, not simply push every metric upward at any cost.

Use Amello to Understand Why Your AOV Is Changing

One of the biggest problems with looking only at average order value is that the number doesn't explain itself. Suppose your AOV increases from ₹650 to ₹720.
Great. But why? Did customers:

• Order more items?

• Choose more expensive dishes?

• Add more beverages?

• Purchase larger combos?

• Shift from lunch to dinner?

Order through a different channel?
Now imagine AOV falls.
Again, you need to know why. That is the difference between simply tracking a metric and actually understanding your restaurant. Amello is designed to connect restaurant signals so owners can move from “AOV changed” to “this is what caused it.”

Amello Can Help You Spot Item Trends

Amello can help identify dishes whose demand is growing or declining.

Amello Can Help You Understand Customer Groups

Different customer cohorts may have very different spending patterns.

Amello Helps Turn Insights Into Actions

The goal isn't another chart. The goal is knowing what to change next.

Build a Weekly AOV Routine With Amello

Instead of checking AOV occasionally, make it part of your weekly restaurant growth routine. Ask four questions.

What Happened to AOV?

Did average order value increase, decrease, or stay stable?

Why Did It Change?

Look at items, channels, customer groups, discounts, combinations, and order patterns.

Where Is the Opportunity?

Maybe beverage attachment is weak. Maybe a premium dish is gaining demand.
Maybe family orders are increasing. Maybe your highest-value customers prefer particular menu combinations.

What Should We Do Next?

Turn the insight into a specific action. Instead of: “Increase AOV.”
Try: “Add our two most frequently paired sides as recommendations alongside our three best-selling mains.” Or: “Promote the premium family bundle to customers who typically place orders above ₹1,500.” This is the kind of workflow Amello is built around:
Understand → Decide → Act.

Increasing Restaurant AOV Comes Down to Four Things

Help Customers Discover More

Make relevant dishes, add-ons, beverages, and desserts easier to find.

Create Better Combinations

Use actual ordering behaviour to create bundles that make sense.

Offer Meaningful Premium Choices

Give customers an option to spend more when they genuinely want a better experience.

Understand What Is Working

Use Amello to understand item performance, customer behaviour, and changes in AOV instead of relying entirely on intuition.

From Average Order Value to Smarter Restaurant Growth

AOV shouldn't exist as an isolated number on your restaurant dashboard.
It connects to:
1) Menu performance.
2) Customer behaviour.
3) Pricing.
4) Discounts.
5) Ordering channels.
6) Campaigns.
7) Staff recommendations.
8) Product combinations.
That's why increasing average order value starts with understanding the restaurant as a whole. Amello brings those restaurant growth signals together. With Amello, the question becomes less: “How do I force customers to spend more?”
and more: “What do our customers already want, and how can we make the right choices easier to discover?”
That difference matters. Because the best way to increase AOV isn't to make every order feel more expensive. It's to make every order feel more complete.

Frequently Asked Questions

What Is a Good Average Order Value for a Restaurant?

There is no single ideal AOV for every restaurant. It depends on cuisine, restaurant format, location, pricing, dine-in versus delivery mix, and customer type. It is usually more useful to compare your AOV against your own historical performance and similar order segments.

How Can a Restaurant Increase Average Order Value?

Restaurants can increase AOV through relevant add-ons, menu engineering, bundles, premium options, beverages, desserts, staff recommendations, and better personalization.

Can Amello Help Increase Restaurant AOV?

Amello can help restaurants understand sales, item trends, customer behaviour, and ordering patterns so owners can identify opportunities that may improve average order value and overall restaurant growth.

Should I Use Discounts to Increase AOV?

Not automatically. A minimum-spend promotion or bundle can sometimes increase order value, but poorly designed discounts may simply reduce margins. Use discounts when they solve a specific business problem.

What Should Restaurants Track Alongside AOV?

Track order volume, item performance, customer segments, repeat behaviour, contribution margin, discounts, channel performance, and the frequency with which customers add sides, beverages, or desserts. Amello becomes particularly useful when these signals are viewed together rather than independently.