How loovo integrates

Your tools stay. loovo makes them smarter.

Nothing to rip out. loovo connects the customer data and messaging tools you already trust, and runs the decisions in between.

Data layer

Store · POS · Customer data

Customer and commerce signals

loovo intelligence layer

Personas · Intent · Agents

Decides the next best action

Action layer

Klaviyo · WhatsApp · Email

Executes through existing channels

Nothing to migrate Connect in under 60 seconds Human approval optional

Under the hood

Artificial intelligence for modern retail - bringing true 1 to 1 hyper personalisation and automation

Traditional customer systems store static historical data. loovo operates on live, dynamic behavioral streams. Here is how our multi-agent framework turns raw signals into autonomous revenue execution.

1. RAW SIGNAL STREAMING

Ingests real-time signals including dwell time, cart edits and price elasticity

2. DYNAMIC PERSONA ALGORITHMS

Continuous behavioral clustering & live intent scoring

3. AUTONOMOUS AGENT EXECUTION

Triggers micro-moments natively via existing platform integrations

Pillar 01

Real-Time Intent & Behavioral Stream Ingestion

The tech
Event-stream processing at millisecond latency.
How it works
While standard customer systems update every few hours or days in batches, loovo streams high-frequency behavioral micro-signals, including browse velocity, category affinity, hesitation on pricing and cart adjustments, alongside many other variables we use today and keep adding.
The difference
Captures intent in the exact moment a shopper is deciding to buy or churn - not hours after they have left.
Pillar 02

Algorithmic Dynamic Persona Building

The tech
Multi-dimensional clustering models & price elasticity algorithms.
How it works
Static segments (e.g., "Bought once 30 days ago") are obsolete. loovo's algorithms continually calculate signals including a shopper's real-time intent score, price sensitivity threshold and preferred communication channel.
The difference
Personas are fluid graphs that re-cluster continuously as shopper behavior changes.
Pillar 03

Autonomous Multi-Agent Orchestration

The tech
Autonomous LLM-driven decision agents with guardrails.
How it works
Rather than requiring marketers to build manual A/B tests and branching decision trees, loovo deploys specialized agents that autonomously decide when to act, what incentive to offer, and which channel to use.
The difference
Protects gross margins by eliminating site-wide discounts and blanketing shoppers with unneeded promo codes.

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