A wedding business whose dress, date, makeup-trial and package questions all piled into LINE. After rolling out AI intake with dress try-on and makeup previews, AI catches the routine questions first — pricing and dates stay with the team.
A business in weddings (presented anonymously; the client name and company size will be published once the client approves). This is a system PeakQi actually delivered and put live — screenshots are from the real product.
Dress styles, dates, makeup trials and package questions all piled into LINE. Support answered on repeat, then re-typed everything into forms and group chats.
Dress try-on, hair and makeup previews, scene generation — plus AI intake.
Additional integrations are scoped per project.
The exact rollout duration for this case is being compiled and not yet published. For reference: Phase 1 on PeakQi standard modules goes live in as little as 10 working days (sign Day 0 → build Days 1–4 → test Days 5–7 → calibrate and launch Days 7–10); a full vertical platform like this one starts around six weeks.
AI handles FAQs and try-on previews first; pricing, dates and special requests go to a person.
| Area | Before | After |
|---|---|---|
| Inquiry replies | Support answered the same questions on repeat in LINE | AI catches FAQs first; hands off when unsure |
| Try-ons | Described in words and sample photos only | AI previews — see the result before deciding |
| Data handling | Info re-typed into forms and group chats by hand | Needs auto-organized into customer cards and follow-up rhythm |
※ Outcomes reported for this specific case. The measurement period, pre-rollout baseline and calculation method are still being compiled for publication; until then these figures are excluded from structured data and are not a general performance promise. Actual results vary with your process, data quality and rollout scope.
