Same tables. Same covers. More from every table.
Raising average order value is not one feature. It happens in three stages: what the guest discovers, what converts them to order more, and whether they come back at all. A fourth step, Prove, shows what changed in your own numbers.
Guests decide what to spend in the first 90 seconds of reading your menu. This is the stage that decides everything downstream.
A well-trained server upsells on a minority of covers. A menu that recommends does it on all of them.
A guest who returns a second time is worth far more than a guest you had to acquire twice.
Know what WowMenu adds to your average bill, measured against your own baseline.
The stages compound. A menu that recommends well but never brings guests back leaves most of the gain uncollected, and a loyalty programme attached to a menu nobody reads has nothing to work with.
Restaurant AOV, average spend per head, spend per cover — the label varies by operator, the number does not. Whether the goal is to increase restaurant AOV, increase restaurant average spend, or simply increase restaurant customer spend without touching prices, the levers are the same three: what guests discover, what converts them, and whether they return.
MenuGPT: A Server at Every Table, Every Shift
A well-trained server suggests extras on a minority of tables. On a busy Friday night, with every table needing attention, that number drops further. Pairings get forgotten and opportunities pass.
MenuGPT, WowMenu's AI chatbot, is a conversational assistant inside the guest menu. Guests tap a quick pick (vegetarian, seafood, under a budget, birthday, wine pairing) or type a question in their own words. It answers from your real menu and your live offers, builds two or three complete meal options sized to the party, and suggests add-ons and a trending row. If a suggested dish sells out, it swaps in the closest available dish from the same category.
Every table gets the same quality of suggestion on every shift, in every language, and each suggestion is tracked as shown, added or dismissed so you can see what it added. How much it adds depends on your restaurant, and Revenue Impact measures it against your own baseline.
Multilingual Menus and Staff-Language Orders for an International Dining Room
On a typical Saturday evening, your restaurant may host Arabic-speaking families, Hindi-speaking expats, Filipino workers, Chinese tourists and Russian visitors. A single-language menu leaves many of them ordering the familiar rather than exploring the menu, and your servers spend the evening translating.
Owners enable the menu languages they need, and the portal offers 27. Guests switch with one tap, and the menu, MenuGPT's answers and the order flow stay in their language, remembered for next time. Arabic is a true right-to-left experience with Arabic fonts and a mirrored layout. Your team picks a staff language, sees each dish name in it, and can open Show to staff, a full-screen order with quantities, options, rounds and allergies.
Guests who understand every dish and allergen order with more confidence, and servers stop translating and explaining. Auto-translate fills dish names in every language you switch on, and a coverage check shows which dishes still need a name in your staff language.
Direct Kitchen Orders: Closing the Gap Between Table and Pass
In a verbal order chain, information degrades at every handover: the guest tells the waiter, the waiter notes it, the kitchen reads a ticket. "No onions" becomes "extra onions", and allergies can go untracked.
Guests order from the menu and the ticket lands on a live kitchen board, with rounds from the same table grouped together and notes and allergies attached. Delay detection flags tickets running past your prep-time target, 15 minutes by default, with a plain-language reason, and a hint shows when several tickets share a dish so it can be cooked together.
Less shouting across the pass and fewer late tables. Allergy flags are prompts for your team, not a safety guarantee, so staff should still confirm with the guest.
Offers and Slide-Up Deals at the Moment of Ordering
A traditional special means reprinting menus, briefing staff and hoping they remember to mention it. It is slow, inconsistent and often forgotten before the evening ends.
Campaigns is the one place offers are created, so discounts do not leak into the menu where nobody measures them. When an order is close to a deal, a slide-up offer appears: a set menu that fits, a combo with one dish missing, or a small extra spend to unlock a free dessert. Guardrails stop it nagging: slide-ups are spaced out, no repeats, and none on checkout, payment or sign-in pages.
Guests see the offers that apply to them, and owners see which promotions earned their keep. Every suggestion is recorded as shown, added or dismissed.
Reservations That Fill the Room Without Overbooking It
Phone-in reservations and paper diaries do not scale, and most booking widgets have no idea what your floor plan looks like. Walk-ins and bookings end up managed from two different places.
Reservations run in the same system as your menu, guests and kitchen. Guided online booking sends requests to a queue, you assign a table to confirm, and conflict checking covers party size, maintenance and overlaps. A waitlist handles walk-ins with a quoted wait and a table-ready notification. Deposit rules, pacing rules and a rule-based no-show risk score help protect the room.
Fewer empty tables, fewer no-shows, and a floor team that knows what each booking includes.
One Guest, One Profile, Across Every Branch You Operate
A guest who dines at one branch on Tuesdays and another at weekends is treated as two strangers by most systems. Allergies get re-explained every visit and preferences are forgotten at the sister location.
WowMenu keeps one profile per guest, with visit and spend history, allergies and preferences, behaviour signals, consent status, and duplicate detection and merge. Loyalty has configurable earn rules and tiers, and lapse detection compares each guest with their own rhythm. Automated thank-you messages and win-back messages at 60, 90 and 180 days bring guests back.
Your team can recognise returning guests, and your messages are aimed at what each guest actually ordered rather than at a flat list.
Campaigns You Can Simulate Before You Launch
Restaurant promotions are usually a guess: which discount will move volume without giving away margin, which combo guests want, and whether a happy hour fills tables or just discounts business that was coming anyway.
Eight campaign types, eight ready-made templates and a simulator that models a campaign before you launch it. WowMenu also suggests next steps from your orders and guests, with the data points, sample size and a confidence level shown, and nothing goes live until you approve it. A 0 to 100 efficiency score then shows which promotions earned their keep.
You decide with evidence rather than instinct. Suggestions and simulations are estimates to support your decision, not guarantees.