AI Agent · Analytics
Owns intelligence. Surfaces insights, explains performance, connects cause to effect.
What this agent owns
Each skill below is a discrete capability the agent is shaped around. It runs the work end-to-end, diagnose, decide, deploy, and report, instead of waiting for an operator to stitch tools together.
Unifies commerce, marketing, and behavioural data
Diagnoses why metrics moved with root-cause analysis
Alerts on anomalies, missed targets, emerging patterns
Benchmarks against category and historical trends
What this agent improves
You ship one agent. These are the surfaces it tightens, the metrics it lifts, and the work it takes off the operator's plate. The next agent in the team compounds on top of these.
The Analytics Agentinherits four principles from the platform. They're what makes the agent run safely on a real store and stay sharper than a point-tool with AI bolted on.
End-to-end workflows, not isolated features. Multiple agents collaborate within each playbook so you stop being the integration middleware between point tools.
Human and AI teaming in one workspace. Tasks are assignable to specific agents or humans fluidly. Your team and your agency stay in the same loop.
Persistent memory that compounds. Each agent learns brand-specific context: voice, audience, rules, history: so it gets sharper the longer it runs.
Works everywhere the brand works, 24x7. Integrated with existing communication channels. Proactively shares updates, reports, and decisions.
Meet the team
CRO Agent
Owns conversion. Diagnoses friction, deploys fixes, measures lift.
Creative Agent
Owns creative production. Generates assets, detects fatigue, iterates on winners.
Merchandising Agent
Owns product presentation. Curates collections, optimises discovery, moves inventory.
Operations Agent
Owns daily ops. Manages reviews, organises assets, keeps the store running clean.
A 20-minute walk-through. Real catalog, real data, real agent work, on a duplicate of your live store.
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