Direct ordering & revenue

AI-driven revenue optimization

Stop spraying discounts at random. Use Menuella’s Autonomous Promotion Logic (APL) to trigger conversion-focused incentives exactly when guests are ready to buy.

Menuella

AI-driven revenue optimization

Stop spraying discounts at random. Use Menuella’s Autonomous Promotion Logic (APL) to trigger conversion-focused incentives exactly when guests are ready to buy.

Intelligent BOGO (buy one, get one)Algorithmic 3-for-2 rulesDynamic cart thresholds

ML-powered discount algorithms

Rules like BOGO, buy-3-pay-2, and dynamic cart thresholds—deployed automatically from real behavior.

Cart threshold

€12.50 of €15 · basket progress

Free garlic bread unlocks at threshold

Nudge text updates from cart contents—illustrative preview, not live venue data.

Dynamic cart thresholds

Let the model lift AOV with personalized nudges—e.g. “Only €4.50 to unlock your free side”—computed from what’s already in the cart.

  • Measured incentives—not spray-and-pray discounts

    Models compare which offer types move margin and repeat visits—instead of a static coupon guess.

  • Aligned with prep and capacity signals

    When demand signals stress the line, your stack can tighten windows or lead times alongside promos—service quality stays protected.

  • Same playbook as smart upsells

    Upsells and promos share the same relevance discipline—helpful prompts inside one checkout, not spammy blasts.

Why algorithmic promos beat static coupons

Promotions that apply when the basket qualifies

See how BOGO-style rules surface in flow—wired to checkout, not a one-off coupon field.

BOGO

Live promotion

Margherita pizza

Second qualifying item free · category rules you set

Applies at checkout

Intelligent BOGO (buy one, get one)

Use machine learning to spotlight SKUs for buy-one-get-one moves that clear strategic inventory and win first-time guests—without torching margin on your hero dishes.

Algorithmic mix

Trios and bundles that feel like a step up—not a hurdle

3-for-2 mix

3 for 2
Seasonal soup €6.50
Side salad €5.90
Garlic bread €4.50

Algorithmic 3-for-2 rules

Increase basket density by letting the engine propose the optimal trio of items so add-ons feel like a natural step up, not a hurdle.

Checkout nudge

Threshold nudges on the device guests already hold

Almost there · Royal Oak

Add €3.20 to unlock free delivery tonight. Tap to see suggested items.

Autonomous Promotion Logic FAQ

How is Autonomous Promotion Logic different from coupon codes?

APL evaluates basket state, menu economics, and rules you configure—so BOGO, 3-for-2, and threshold nudges can fire in checkout without staff pasting codes.

Can we control margin and which dishes are promoted?

You keep strategic bundles, floors, and exclusions in operator control while models handle which eligible offer surfaces for each cart—so margin stays governable.

What does “dynamic cart threshold” mean for guests?

Threshold copy like “€4.50 to unlock a free side” adapts to what is already in the cart—illustrative examples; your live venue sets the actual rules.

How does BOGO work with inventory goals?

BOGO and trio logic can favor SKUs you want to move while the same checkout stays fast—no extra steps for guests when rules apply automatically.

Why run APL inside Menuella instead of a separate promo tool?

Promotions run on your Menuella ordering rails with the same guest profile as prep, upsells, and loyalty—fewer disconnected tools and clearer attribution.

From the blog

Nuh Kayran

Dynamic Thresholds: Using Cart Logic to Increase Basket Size

Tiered unlocks and spend thresholds nudge basket size only when the kitchen can honor them. How live cart logic and APL recompute milestones on every tap— without broken carts, 86 surprises, or dispatch promises you cannot keep.

Nuh Kayran

Autonomous Growth: Why Algorithmic Promos Beat Flat Discounts

Flat promos subsidize the rush and train guests to wait for coupons. Autonomous promotion logic (APL) replaces spray-and-pray with rules that respect margin, kitchen capacity, and cohort—deployed on the first-party ordering rails you actually control.

Nuh Kayran

Peak-Hour Pricing: Strategically Managing Demand via APL

Flat discounts cannot tell Friday 7 p.m. from Tuesday lunch. How autonomous promotion logic (APL) shapes demand with time-bounded rules, caps, and kitchen-aware pricing—so surge windows protect margin without training guests to expect random sticker shock on first-party ordering.