Direct ordering & revenue

Predictive neural upsells

Lift average check size using a neural recommendation engine. Surface high-probability add-ons and co-purchase pairings learned from your real-time order history.

Menuella

Predictive neural upsells

Lift average check size using a neural recommendation engine. Surface high-probability add-ons and co-purchase pairings learned from your real-time order history.

High-probability add-onsBehavioral trigger logic

Upsells that feel inevitable—not intrusive

Relevance drawn from live baskets in your venue—not generic, site-wide promo banners.

Dry-Aged Beef & Ale Pie

Dry-Aged Beef & Ale Pie

£17.60

Added
  • Grounded in your venue’s demand

    Rankings reflect combinations guests already buy together—not a one-size-fits-all cross-sell script.

  • Higher average check, same pace

    Lift ticket size without extra taps; the best upsell feels like a shortcut.

  • Operators set the guardrails

    Bundles, LTOs, and margin floors stay under your control while models handle ranking.

Why collaborative filtering wins on the direct channel

A generic 'add fries?' ignores what this guest actually orders. Menuella's smart upsells learn from real order patterns—what pairs with what, for whom—so the suggestion at checkout is one the guest is genuinely likely to add, not noise they scroll past. Higher average tickets, on your own channel, with no extra work for the kitchen or the counter.

Pairings from orders you already completed

The same co-purchase panel guests see on each product—ranked from real baskets, not generic promos.

Margherita pizza

Margherita pizza

Tomato, mozzarella, and fresh basil—an example dish guests might open before seeing pairings.

£12.90

Often bought together

3
  • Caesar salad
    Caesar salad
    £8.50
  • Garlic mushrooms
    Garlic mushrooms
    £4.50
  • Cheesy garlic bread
    Cheesy garlic bread
    £5.20

Scores update as orders come in; if there isn’t enough data yet, this block stays hidden for that product—just like in your venue.

Trigger logic

Cart mode and time windows decide when a nudge appears

Dry-Aged Beef & Ale Pie

Dry-Aged Beef & Ale Pie

£17.60

Added

Guest phone

A tap-friendly add-on beats another step at checkout

Suggested add-on

Complete your meal: garlic bread pairs with 62% of orders like yours. Add for €4.50.

Smart upsells FAQ

Where do “often bought together” suggestions come from?

Pairings come from co-purchase patterns in your completed orders—similar to collaborative filtering—so suggestions reflect what guests already combine in your venue.

Can operators control what gets recommended?

You can set guardrails for bundles, LTOs, and margin floors while the model handles ranking—so strategy stays human and execution stays fast.

How do behavioral triggers work?

Triggers can respect cart value, service mode, and time windows so prompts appear when they help—not when they would slow checkout.

What happens with new menu items or low data?

If there isn’t enough order data for a dish yet, the block can stay hidden for that product—avoiding noisy or random suggestions.

Why run upsells inside Menuella?

Upsells run on your direct ordering channel with the same guest profile and menu—no marketplace middleman taking a cut of the lift.

From the blog

Stepped ruby glass blocks crossed by a glowing sparkline — representing using sales history to shape menu pairings.
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Use Sales History to Build a Better Menu

Let real guest ordering patterns show which pairings deserve prominence and which underperformers should go — filtered by margin, kitchen load, and allergens.