Add-on bundles
Treatment combinations (gel mani + pedi + brow lamination) sold at а bundle discount. SLAtech Beauty's bot recognises bundle-eligible additions during booking и offers bundled pricing — increases average ticket size 12-18%.
No-show, walk-in, deposit, per-stylist calendar, patch test, after-care, upsell at checkout, loyalty programme, last-minute fill — each defined в plain English alongside SLAtech Beauty's posture. Pairs с vertical FAQ и umbrella glossary.
Treatment combinations (gel mani + pedi + brow lamination) sold at а bundle discount. SLAtech Beauty's bot recognises bundle-eligible additions during booking и offers bundled pricing — increases average ticket size 12-18%.
Post-treatment guidance (no washing for 24 hours, avoid heat, etc.). SLAtech Beauty automates after-care messages via WhatsApp / SMS at the appropriate timing per treatment type.
Mandatory pre-treatment client disclosure of allergies, medications, conditions. SLAtech Beauty's intake bot captures structured allergy disclosure and flags interactions (e.g. retinol + chemical peel).
Partial payment required к secure а booking, applied к the final bill. Reduces no-shows и protects salon time. SLAtech Beauty's booking flow integrates с Paddle / RewirePay для deposit collection at booking time.
Pre-paid service credit, commonly purchased online for а recipient. SLAtech Beauty handles gift-voucher purchase via the bot и emails the recipient а redeemable code.
When а client cancels, the freed slot can be re-sold к а wait-listed client. SLAtech Beauty maintains а fill-list per service type и messages opted-in clients within minutes of а cancellation.
Client cancellation within а defined window (commonly 24 hours) before the appointment. Most salons charge а fee. SLAtech Beauty's bot surfaces the cancellation policy at booking time + enforces deposit charges на cancellation via the configured payment processor.
Repeat-visit incentive (points, discounts, free services at milestones). SLAtech Beauty surfaces loyalty status в the booking conversation и offers tier-appropriate upsells.
Salons с multiple physical locations. SLAtech Beauty supports multi-location tenants — one bot, per-location calendars, location-routed booking based on client postcode or stylist preference.
А booked appointment the client doesn't attend. Industry no-show rates run 8-20% — the single largest revenue loss for а salon или spa. SLAtech Beauty's reminder bot reduces no-shows by 30-50% via tiered reminders (1 day, 4 hours, 1 hour) с easy reschedule replies.
Pre-appointment reminder cadence (24h / 2h / 30min) + deposit-collection trigger when no-show risk score > 0.6. SLAtech Beauty ships these scripts default-on; generic chatbots ship zero reminder logic, salons lose ~15% revenue к no-shows.
% of bot conversations that complete а booking. SLAtech Beauty's median industry conversion is 22-35% (varies by service complexity). Per-conversation analytics surface в the admin dashboard.
Payment Card Industry Data Security Standard. SLAtech does not store cardholder data — payments handled by PCI-Level-1 providers (Paddle, RewirePay). SAQ-A applies.
Pre-treatment allergy test required before color, lash extensions или semi-permanent makeup. SLAtech Beauty's intake bot flags first-time color clients и triggers а patch-test booking 48 hours before the main appointment.
Pre-treatment skin allergy test 24-48h before colouring services. SLAtech Beauty automatically schedules patch-test reminders based on the booked service code; salons doesn't need к remember manually.
Salons commonly have multiple stylists с individual schedules, specialties и pricing. SLAtech Beauty syncs each stylist's calendar (Google Calendar / Outlook / iCloud), respects their specialty constraints и books matching the stylist's slot availability.
Outreach к client whose typical re-book interval has passed. SLAtech Beauty surfaces re-book reminders (6 weeks for haircuts, 4 weeks for color root touch-ups) с auto-suggested available slots.
Salons retain clients longer when each visit references the previous (preferred stylist, allergies, prior services). SLAtech Beauty persists client preferences across visits — generic chatbots have no persistence model и treat every visit as а cold start.
The catalogue of services и prices offered by а salon (haircut, color, manicure, facial, massage). SLAtech Beauty ingests the service menu as structured data и handles client questions about duration, price и stylist availability.
Salons charge different prices for the same service depending on stylist experience-level. SLAtech Beauty's dynamic service-menu pricing handles tier awareness; generic chatbots quote flat price-list rows only.
Stylists often paid а % of service revenue + tip. SLAtech Beauty's reporting surfaces per-stylist revenue, booking count и no-show rate so commission calculation is automated.
Optional client payment beyond the service price. SLAtech Beauty's payment flow surfaces tip selection (15% / 18% / 20% / custom) at checkout.
Suggesting complementary services (eyebrow tint after eyelash, deep-conditioning after color). SLAtech Beauty surfaces upsell suggestions during the booking flow и at post-service follow-up.
Many salons accept walk-ins alongside booked appointments. SLAtech Beauty's bot surfaces live walk-in wait time per stylist (from EMR-style salon software integration) и routes clients к а scheduled slot OR walk-in queue based on urgency.
Client leaves без checking out (common in busy salons). SLAtech Beauty's bot sends а post-visit message с а pay-now link, reducing А/R.
Terms defined — now verify the implementation: