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 01Real-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 02Algorithmic 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 03Autonomous 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.