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Meet Aria — and the six agents that run your beauty commerce.

One orchestrator. Six specialists. Working in concert across diagnostics, try-on, personalisation, basket, loyalty and retail media.

Book a strategy call
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Aria thinks like a commercial lead.

Aria is the only AI assistant designed for beauty & fashion commerce teams. She reads your inventory, listens to your goals, and coordinates the agents to ship work — not just answer questions.

Orchestrates every agent
Aria routes intent across all six specialists — no juggling tools, no broken context.
Sees your full inventory
Live stock, expiry windows and campaign blocks are always part of her recommendations.
Launches in one prompt
Describe the outcome. Aria proposes the agents, audience, creative and channel.
Aria
Orchestrating 4 agents
Launch a 5-day routine campaign for the new SPF50 line targeting Gen Z high-intent profiles.
You
On it. I'm routing this through:
  • Skin Diagnostic Agent — profile match
  • Personalisation Agent — Gen Z lookalikes (~12k)
  • Routine Agent — AM/PM sequence
  • Inventory check — 2,400 units, no expiry risk
Aria

Every agent is opinionated about one part of the journey.

Activate the agents you need. Aria fills in the rest. No prompts to engineer, no glue code to maintain.

Try-On Agent

Photorealistic AR try-on for makeup, skincare textures & accessories.

  • Real-time face tracking
  • Shade & finish matching
  • Cross-device persistence
Typical outcome

+38% add-to-cart on tried products

Skin Diagnostic Agent

Biological-grade skin analysis from a single selfie.

  • 12-marker skin profile
  • Concern detection & severity
  • Routine mapping per profile
Typical outcome

847 unique profiles matched daily

Routine Agent

Builds AM/PM routines tailored to skin profile and goals.

  • Sequence & layering logic
  • Goal-based progression
  • Refill reminders
Typical outcome

2.4× repeat purchase rate

Personalisation Agent

Audience segmentation, lookalikes and 1:1 product surfacing.

  • Behavioural cohorting
  • Lookalike modelling
  • Live segment updates
Typical outcome

+12% uplift in add-to-cart

Basket Builder Agent

Routine-aware bundles and intelligent cross-sell.

  • Bundle composition
  • Margin-aware upsell
  • Cart abandonment recovery
Typical outcome

+22% avg. basket value

Loyalty Agent

Re-engagement journeys, refills and tiered rewards.

  • Lifecycle triggers
  • Refill cadence prediction
  • Tiered reward orchestration
Typical outcome

3.1× 90-day retention

From intent to launch in minutes.

You ask Aria

Plain language. Outcome-first. No prompts to engineer.

Aria picks agents

She selects the right specialists and the order to run them.

Agents execute

Diagnostic, routine, audience, basket — done in parallel.

You confirm & ship

Review the plan, launch with one click.