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AI Upsell

Personalized upsells. Every touchpoint. No scripts.

AI calibrated to each guest's last 50 visits โ€” injected into POS, kiosk, mobile and drive-thru. Lifts average ticket without staff training, scripted prompts, or hard-coded combos.

What is Nova AI-driven upsell?

AI-driven upsell is Nova's recommendation engine that injects personalized suggestions at every guest touchpoint โ€” POS, kiosk, mobile, drive-thru and tableside handheld. Recommendations are calibrated to the guest's order history, the daypart, the current menu, and the location โ€” not a static rule table.

Customer ordering at a cafe counter
BENEFIT 01

Calibrated to the guest.
Not a scripted prompt.

AI upsell pulls from the guest's last 50 visits across every channel โ€” what they order, what they pass on, what daypart they show up in. The recommendation that surfaces is one this specific guest is likely to accept, not the same one everyone gets.

  • Recommendation engine trained on guest behavior
  • Refreshes every visit, every channel
  • No rule tables to maintain
  • Works equally at kiosk, drive-thru, POS, mobile
Customer ordering at a counter
+7.4%
Average ticket lift from AI upsell at kiosk
BENEFIT 02

Every channel,
every touchpoint.

The same recommendation engine runs across POS (server prompt), kiosk (item suggestion at cart), mobile (in-app modifier nudge), drive-thru (Voice AI add-on), and tableside handheld (server's recommendation card). One engine. One profile. Five surfaces.

  • POS โ€” server prompt with one tap to add
  • Kiosk โ€” item suggestion at cart review
  • Mobile โ€” in-app modifier nudge
  • Drive-thru โ€” Voice AI add-on suggestion
  • Handheld โ€” recommendation card the server can read
Server with handheld POS
BENEFIT 03

Measurable lift.
Without staff training.

Operators historically lifted ticket through scripted prompts ("would you like to make that a combo?") that required staff training and constant management. AI upsell lifts ticket without either. Server doesn't need to remember a script; AI surfaces the right prompt.

  • Lift measurable per channel and per location
  • No scripted prompts to train or enforce
  • Tunable per brand for tone and aggressiveness
  • A/B testing built in
Cafe staff at work
Real example โ€” kiosk upsell

AI-driven upsell at the kiosk lifted average ticket by 7.4% across one chain โ€” without staff training, without scripted prompts, without changing menu structure. Recommendations were generated per guest, per visit, in real time.

More from Nova

Other AI capabilities

Book a demo

Lift average ticket without lifting a finger of staff training.

20-minute walkthrough across the five channels where AI upsell runs. Bring your current upsell program; we'll show you the lift on top of what's already working.

Customer ordering at a cafe