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. Пара с umbrella eval scoreboard, Beauty glossary и Beauty FAQ.

Score breakdown по category

CategoryBeauty-tunedGenericLift
Salon-booking conflict resolution

Multi-stylist availability + service-duration awareness — бот блокирует двойное бронирование попытки. Generic chatbots happily over-book.

 91 62 +29
No-show prevention scripts

Pre-appointment reminder cadence (24h / 2h / 30min) + deposit-collection trigger когда no-show risk score > 0.6. Generic chatbots ship ноль 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 на appointment confirmations, Russian-locale phone formatting, hair-treatment terminology mapped к salon SOPs.

 85 78 +7
Stylist matching по preference

Returning-client preference recall (preferred stylist, allergies, prior services). Generic chatbots не имеют persistence model — каждый visit — 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, нет service-menu pricing model, нет salon SOP awareness

Fresha built-in chat

74/100

Salon-native но reservations-only — нет concierge depth, нет eval methodology published

Tidio Lyro (generic SMB)

63/100

Нет Hebrew RTL polish, conversation cap на lower tiers, нет no-show prevention layer

Продолжите оценку покупателя

Per-vertical eval score — один input. Три других инструмента самообслуживания закрывают картину без звонка с продавцами:

Umbrella Scoreboard Eval →Все 9 вертикалей side-by-side Калькулятор TCO →Годовая экономия + payback математика Сравнение вендоров →Фильтр 16 вендоров по 6 осям Чек-лист вендора →30 вопросов для проверки вендоров

Reproduce eval против вашего tenant

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

Full eval methodology → SLAtech Beauty pricing