Source-backed signals for the Dermalogica value case.

This page separates public facts from modeled assumptions so Dermalogica can evaluate where Alhena may reduce support friction, improve customer satisfaction, and lift average order value.

Dermalogica public source

Professional skin care brand with global expert network

Dermalogica states that it is used by more than 100,000 skin therapists in more than 100 countries.

Dermalogica Our Story

Dermalogica public source

AI-enabled Face Mapping exists today

Dermalogica describes Face Mapping as using advanced AI and machine learning to analyze skin from a selfie or quiz and provide targeted product recommendations.

Dermalogica Face Mapping

Dermalogica public source

Sensitive-data and escalation context matters

Dermalogica's privacy notice references health and medical information customers may voluntarily share through quizzes, treatments, assessment tools, experts, customer service representatives, or support.

Dermalogica Privacy Notice

Dermalogica public source

Support surfaces are visible on the customer journey

Dermalogica's public pages show subscription management, rewards questions, free 30-day returns, specialist chat, Face Mapping, and video consultations.

Subscription Rewards Returns Video consultations

Alhena proof points

Support Concierge

Alhena positions Support Concierge around returns, order tracking, complex support questions, smooth human handoff, CRM/order access, and support cost reduction.

Alhena Support Concierge

Crocus support case study

Alhena reports 86% deflection, CSAT at 84% from under 80%, and a 3.7% ticket reopen rate for Crocus.

Crocus case study

Shopping Assistant expansion

Alhena reports Victoria Beckham saw a 20% increase in average order value and 10% lift in online sales revenue. This supports the expansion path from support relief into commerce impact.

Victoria Beckham case study

TATCHA skincare case study

Alhena reports TATCHA reached 3x site-average conversion, +38% AOV, 11.4% of total site revenue influenced by the assistant, 82% chat deflection, and 81% CSAT.

TATCHA proof page

Modeled assumptions

The calculator uses placeholders until Dermalogica replaces them.

Monthly support conversations, repeatable inquiry share, eligible-for-AI share, economic value per automated contact, assistant visibility, engagement rate, conversion lift, AOV lift, implementation cost, and platform cost are model inputs.

Alhena enterprise pricing is customized based on product scope, integrations, usage, markets, governance, and implementation requirements. Commercial assumptions shown here are illustrative until confirmed through formal scoping.