Preboot for beauty & aesthetics
The DMs arrive at midnight; the AI answers and books them in the moment. Journeys keep the calendar full — confirmations, rebooking rhythms, waitlist refills. And behind them, Loop watches the drift, the slow Tuesdays, and the stylist numbers, arriving with decisions instead of dashboards. Approval-gated, reversible, on the record.
Sound familiar?
No-shows kill my mornings.
A missed slot is a stylist paid to wait — and a client you turned away for nothing.
My DMs fill at midnight. My chairs sit empty on Tuesdays.
The demand is there. It just arrives when nobody can answer it.
Clients drift, and I find out months later.
By the time you notice, they have a new usual place.
Every one of these is a timing problem. An AI that never sleeps has perfect timing.
The book
Three journeys that keep every chair earning — confirmations, a rebooking rhythm per service, and refills the minute a slot frees.
Confirm-or-release reminders run 24/7 — designed to cut no-shows 30–45%, and every cancellation frees a slot that can still be sold.
One sentence — 'confirm at 48 hours and at 3' — becomes a running journey Loop rewrites when confirmations dip.
Loop traces which clients, services, and hours drive no-shows — fixes target causes, not everyone.
Tell Loop each service's rhythm — gel every three weeks, color every six — and the nudges run forever, designed to lift rebooking 20–35%.
Nudges fire on each client's own cadence with her usual stylist attached — never a monthly blast.
Usual service, stylist, and gap build themselves from every visit and chat — zero data entry to keep it true.
Loop watches the booking calendar and offers freed slots to the waitlist within minutes — so the chair keeps earning.
Cancellation → waitlist offer → confirmation runs end-to-end, 24/7 — no receptionist sprint.
Approve the flow once; every refill is logged and reversible — automation you can audit.
Loop, watching
Loop watches the book and the DMs, and arrives with the call already made — reasoning, expected outcome, and risk attached.
Drifting regulars are flagged at the first missed cycle — months of silent churn become a same-week save.
Loop mines visits into a live at-risk list: who's overdue, her value, her usual service.
Why she drifts — a stylist change, a price rise, a bad visit — separated from coincidence before you act.
Loop arrives with the offer, the audience, and the expected fill — you approve, and the slow days climb.
The offer targets flexible regulars mined from behavior — weekend payers never see the discount.
Why Tuesdays run empty — staffing, offers, or demand — proven causally before money moves.
Loop traces where quote conversations stall — price shock, slow replies, missing photos. A cause, not a guess.
The objection pattern comes from every stalled DM about that service — the whole inbox, not a sample.
The fix arrives drafted — a reframed price, a new anchor, a bundle — with the expected lift shown.
While you work
The AI answers when the demand actually arrives — and keeps selling after the visit.
The AI answers with the client's whole history — hair length, usual stylist, allergies — and books her on the spot.
DMs, story replies, comments, ads, WhatsApp — one inbox, so a midnight lead is never lost or answered twice.
Prices by service and length, aftercare at 2 AM — validated before publish, handed off with the reason.
Aftercare journeys send the exact product used in the treatment, timed days after the visit — retail keeps earning after the chair.
Asked 'what do I use after keratin?', the AI answers from her own treatment — and sells the right product.
Retail revenue per aftercare message is a fact, not a hunch — double down on the pairs that sell.
Run the salon on facts
The part no chatbot ever touched: stylist scoreboards, chair numbers, and an operating cadence that never lapses.
Rebooking, retention, and chat quality per stylist from real conversation data — a scoreboard nobody argues with.
Incentives designed from actual behavior — reward the stylist whose clients come back, not just volume.
'Utilization by chair, stylist, and hour' — asked in chat, answered as a chart. A data team, without one.
Every booking, DM, and campaign already warehoused and indexed — zero setup, no analyst, no exports.
When utilization dips, Loop separates the real driver from coincidence before you change staffing.
No-shows, utilization, rebooking, drift — reviewed every Monday, forever. Scheduled work that cannot lapse.
It includes what you've been ignoring for weeks — the brief calls out the unread problems too.
Every number is drillable — ask a follow-up in plain language, get the chart.
Before & after
The remaining seven moments from our salon map — run by hand, and run on Preboot.
Deposits
Every booking taxed — or every long slot gambled
Requested only on long, costly slots — designed to cut their no-shows 40–60%
Treatment courses
Sold as six sessions, abandoned at three
Each course runs its own session cadence — designed to lift completion 20–35%
Peak season
The scramble starts when the rush does
Peak and wedding-season prep starts on schedule, unprompted — designed to cut walk-away demand 20–30%
Campaign ROI
Send, hope, check the book next week
The message→conversation→booking chain captured natively — designed to cut ad waste 20–35%
Reviews
The bad visit surfaces as a public review
Unhappy visits caught in the inbox first; requests timed to happy ones — designed for 2–3× review volume at steady state
First visit to regular
First-timers vanish; nobody knows why
The real drivers isolated from noise — designed to lift first-to-second visits 10–20 pts
The services clients ask for that you don't offer
A memory at the front desk, at best
Every 'do you do X?' counted across the whole inbox — menu and prices aligned with measured demand
"Published averages" are industry benchmarks from public studies, not Preboot results. Your own numbers will live on your dashboard — that's rather the point.
Done right by default
Client history, in one place.
Preferences, visits, and conversations live in one system with roles and permissions — not in whichever phone answered.
Your accounts, kept safe.
Policy-compliant messaging and segment-first sending protect the Instagram account and WhatsApp number your bookings arrive on.
Every AI conversation, auditable.
Session summaries, handoff reasons, reasoning traces — you can read exactly what any client was told.
Your brand voice, and nothing live without you.
You control how the AI speaks — tone, phrases, what it never says. Reminder timing, journeys, prices, the bot itself: every change is validated, previewed, and reversible in one click.
Yes — DMs, comments, story replies, and WhatsApp all land in one inbox, and the AI books from any of them. TikTok, Messenger, and Telegram are there too.
The AI books from availability you control, and your team can adjust anything from the same inbox. Salon systems connect through custom integrations to keep calendars in lockstep.
You set how it speaks — tone, phrases, what it never says. Changes are validated and previewed before publish, so the voice never drifts.
It measures what's already on the record: rebooking, retention, and handling quality from real conversations. Managers see it under roles and permissions — and targets built from it tend to be accepted precisely because they're factual.
No. Loop proposes — a slow-day offer, a deposit policy, a reworked price presentation — with reasoning and expected outcome attached. Nothing goes live without your approval, every change is previewed, and one click rolls it back.
No. Plans scale from a single-chair studio to a multi-branch chain — and every plan includes Loop, the journeys, and the full inbox.
Message us on WhatsApp and see the booking experience your clients would get — our own number runs on Preboot.