Can AI recommend the right add-on service for each spa guest?

Yes. Collaborative-filtering on service history surfaces add-ons (paraffin, hot stone, eye mask) the guest is most likely to accept — typically lifting add-on attach from 18% to 32–38% when the recommendation is surfaced to the technician at check-in, not via push notification.

The honest framing: AI is mostly a targeting and timing improvement over rules-based automation, not a replacement for the relationship work. The best operators combine AI for the long tail (lapsed-by-1-week regulars) with human calls for the top decile (lapsed VIPs).

In Vietnam specifically, Zalo OA is the dominant retention channel — read rates of 60–80% beat SMS (15–25%) and email (8–15%) by a wide margin. Any retention playbook that does not put Zalo OA as the default channel underperforms by 2–4×.

PEKO operationalises this as a loyalty layer that sits on top of an existing booking platform — Booksy, Fresha, Mindbody, KiotViet, or paper diaries — rather than replacing it. Onboarding for a small venue typically takes 3–5 days from contract to first automated message.