One AI brain runs this store.

The old model

Like most growing brands, Freya ran a platform per function — storefront, email and SMS, subscriptions, reviews, loyalty, analytics, CRO, marketplaces, fulfillment, SEO, affiliates and support. None of them shared context, so people became the integration layer: pulling reports, joining spreadsheets and re-explaining the business in Slack.

Eight trained agents

Growth, Lifecycle, Customer Intelligence, Merchandising, Retention, Marketplace, Operations and Analytics agents — each with a role, business context, tools, operating rules and one shared memory.

What the brain runs

• Customer data / CDP — one unified customer view and identity
• Paid acquisition — CAC, MER, LTV, creatives, audiences
• Content, SEO and AEO — findability across search and AI assistants
• Merchandising and CRO — collections, PDPs, A/B tests
• Email / SMS and CRM — flows, segments, win-backs, triggers
• Reviews and UGC — in-house reviews and sentiment
• Subscriptions and retention — churn cause, cohorts, LTV
• Marketplaces — Amazon, Walmart and more
• Fulfillment, ops and inventory — orders, shipping, 3PLs
• Loyalty and rewards — points, tiers, redemptions, VIP
• Analytics and unit economics — what happened, why, what to do
• CX and support — customer history, answers, resolutions

How it runs

Observe, reason, decide, execute, learn — continuously. Every customer-facing action is human-approved.

The build: three days

• Day 1 — connect the business: store, subscriptions, email, reviews, analytics, inventory, orders and acquisition data
• Day 2 — build the intelligence layer: customer identity, cohorts, lifecycle logic, unit economics, attribution
• Day 3 — give the brain tools: email/SMS, audiences, segments, rewards, reviews, reports and actions