Feature · AI

Landing personalization

The first thing a returning customer sees should be the thing they’re most likely to order. Landing personalization rebuilds your storefront hero + featured-items strip per customer based on their order history.

How it works

When a logged-in customer hits your storefront, the platform looks at:

  • Their last 5 orders (recency-weighted)
  • Time of day + day of week
  • Whether they tend to order delivery, pickup, or dine-in
  • Their average ticket size

And renders a hero call-out + featured items strip ranked specifically for them. Guest visitors still get a sensible default (your best- selling items in their picked branch).

Why it lifts conversion

Reduces “scroll fatigue” — a customer with a clear pattern (always orders biryani Friday lunch) sees biryani first, not the whole menu. Pilot tenants saw a 6–11% lift in re-order rate within 4 weeks.

A/B treatment

We always serve a small percentage of returning customers the default (non-personalized) experience as a control arm, so the SuperAdmin performance dashboard can show you the lift you’re actually getting on AOV + conversion. If a tenant’s lift is negative, the feature auto-pauses with a flag.

Cost

~PKR 0.10 per personalized render. Cached per customer for 30 minutes to avoid hitting the LLM on every page load.

Get it

Available in Growth (with a 20% rollout cap) and Scale (full rollout). See all features.