Beauty eval scoreboard

SLAtech Beauty: 86/100

Reproducible 200-question Beauty-specific eval harness. +17-point lift vs generic SLAtech-Business (69/100). Driven by salon-booking conflict resolution, no-show prevention scripts, и dynamic service-menu pricing. Pairs with umbrella eval scoreboard, Beauty glossary and Beauty FAQ.

Score breakdown by category

CategoryBeauty-tunedGenericLift
Salon booking conflict resolution

Multi-stylist availability + service-duration awareness — the bot blocks double-booking attempts. Generic chatbots happily over-book.

 91 62 +29
No-show prevention scripts

Pre-appointment reminder cadence (24h / 2h / 30min) + deposit-collection trigger when no-show risk score > 0.6. Generic chatbots ship зеро reminder logic.

 88 58 +30
Dynamic service-menu pricing

Tier-aware (junior vs senior stylist), add-on bundles, package discounts. Generic chatbots quote flat price-list rows only.

 87 71 +16
Multilingual salon chat (HE / RU)

Hebrew RTL polish on appointment confirmations, Russian-locale phone formatting, hair-treatment terminology mapped to salon SOPs.

 85 78 +7
Stylist matching by preference

Returning-client preference recall (preferred stylist, allergies, prior services). Generic chatbots have no persistence model — every visit is а cold start.

 82 76 +6

Competitor comparison

SLAtech Beauty

86/100

Salon-tuned, RTL Hebrew polish, no-show prevention default-on

Intercom Fin (generic)

71/100

English-first, no service-menu pricing model, no salon SOP awareness

Fresha built-in chat

74/100

Salon-native но reservations-only — no concierge depth, no eval methodology published

Tidio Lyro (generic SMB)

63/100

No Hebrew RTL polish, conversation cap on lower tiers, no no-show prevention layer

Continue the buyer evaluation

The per-vertical eval score is one input. Three more self-serve tools complete the picture without a sales call:

Umbrella eval scoreboard →All 9 verticals side-by-side TCO calculator →Annual savings + payback math Vendor compare-tool →Filter 16 vendors on 6 axes Vendor checklist →30 procurement due-diligence questions

Reproduce the eval against your own tenant

Eval methodology is open-source. 200 sealed Beauty-specific questions с LLM-as-Judge scoring on factuality, hallucination и confidence axes.

Full eval methodology → SLAtech Beauty pricing