Skip to main content

Adobe Commerce · Beauty

Beauty on Adobe Commerce, compliant and fast.

Ingredient and claims data, multi-region compliance, and subscriptions at catalog scale are where beauty needs more than a plugin. We engineer Adobe Commerce for that depth.

The problem

Where beauty brands get stuck

The patterns recur. Adobe Commerce solves some by default; the rest is engineering.

Challenge

Ingredient & claims data

Regulated claims and ingredient lists are catalog data that must stay correct across markets, not free text.

Challenge

Regional compliance

Selling across regions means regional rules baked into the catalog and checkout.

Challenge

Subscriptions at scale

Replenishment on Adobe Commerce needs engineering, not an off-the-shelf plugin.

How it fits

The Adobe Commerce stack, tuned for beauty

Commerce stack · cross-section
REQUESTExperience tierPWA / Hyvä · Shade quiz · Sampling · MobileCommerce APIsCatalog · Subscriptions · Cart · CheckoutContent & searchCMS · Ingredient data · SearchData foundationCDP · OMS · ComplianceAI & opsReplenishment AI · Claims check · Recommendations

What we build

Adobe Commerce for beauty, engineered to fit

Build

Structured product data

Ingredients, claims, and compliance modeled as attributes — queryable, not buried in descriptions.

Build

Multi-region architecture

Store views, pricing, and rules per region without duplicating the catalog.

Build

Subscription engineering

Replenishment, dunning, and retention wired to the catalog and OMS.

The AI layer

AI that moves the numbers for beauty

Not AI bolted on the side — agents and models wired into the beauty workflows that shape revenue, with human approval and an audit trail.

The AI layer

Replenishment prediction

Per-customer re-order timing from real consumption cadence, so the nudge lands when the product is actually running out.

Claims & compliance check

AI flags ingredient/claims copy that conflicts with regional rules before it publishes.

Recommendations

Routine- and shade-aware recommendations that lift AOV and cut wrong-product returns.

Where we built

Engagement record

Built for regulated, repeat-purchase beauty — correct claims, clean data, retention by design.

40%Faster Page Loads

Read the case study

Questions

Beauty on Adobe Commerce, answered

Why Adobe Commerce for a beauty brand?
When ingredient/claims data, multi-region compliance, and B2B/salon channels get complex, Adobe Commerce's data model and store views earn their keep over simpler platforms.
How do you keep claims and ingredient data correct?
Modeled as structured attributes with validation, so regional rules and PDP content stay accurate as you expand markets.
Do you support subscriptions and replenishment?
Yes — engineered (not a thin plugin) with skip, swap, dunning, and win-back, and re-order timing from real consumption cadence.
Can you sell across regions cleanly?
Store views, localized pricing/tax, and per-region compliance rules — one catalog, many markets, no duplication.

How an engagement starts

Three steps to a partnership

01

Intake call

30 minutes. We listen, you talk. No deck.

02

Diagnostic

We audit the surface, name the bottleneck, propose a path.

03

Kickoff

Senior engineer in your standup by week two.