Fluence
Fluence is a decision intelligence platform for e-commerce that analyzes live session behavior—clicks, pauses, scrolls, and tab switches—to diagnose why each visitor hesitates and determine the optimal intervention, including choosing not to intervene. The system works from the first visit without historical data, generates an actionable profile in seconds, and integrates in about 10 hours via a lightweight snippet. In a reference pilot, Fluence processed 3.4 million profiles, reduced churn by 40%, and increased conversion 2.3x.
- Retail Technology
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most e-commerce visitors leave without buying, yet traditional tools only understand customers after accumulating historical data, leaving new and undecided visitors invisible. Standard segmentation and rule-based triggers fail to address the specific reason each individual is hesitating, leading to missed conversions and wasted discount offers.
Solution
Fluence is a decision intelligence platform that reads live session behavior—clicks, pauses, scrolls, returns, and tab switches—from the first second of a visit to infer each visitor's behavioral state and the likely cause of uncertainty. The platform scores possible interventions and selects the best one, which sometimes means not intervening at all to protect margins and user experience. Every decision is logged with its rationale, action, and impact so teams can audit and prove results. The system works without login or historical data, generating an actionable profile in seconds, and is delivered through a lightweight snippet with implementation in approximately 10 hours.
Target Audience
Primary customers are e-commerce companies seeking to improve conversion, retention, and margin through real-time behavioral personalization. The platform serves growth-stage online retailers through enterprise operations, including teams managing WhatsApp commerce and customer success workflows.
Features
- Real-time behavioral state modeling that infers visitor intent and hesitation from session signals including pauses, scroll depth, tab switching, and price comparisons
- Decision engine that scores and selects the optimal intervention per visitor, including the option to not intervene for price-insensitive buyers
- Architecture of five layers—ingestion, modeling, memory, API, and orchestration—that transforms digital behavior into actionable context in real time
- Single API endpoint (GET /context/{user_id}) that returns traits, state, intent, and recommendation ready for product or agent use
- Privacy-by-design approach that reads behavioral patterns, never content, with LGPD and GDPR compliance built into the product
- Use cases covering cart abandonment, first visits, churn prevention, discount optimization, personalization without history, and WhatsApp commerce