Technologies Winnia operates a ticketing and event management platform serving multiple teams and leagues across North America. OneNine Innovations designed and deployed a multi-agent AI system that transforms scattered data from Ticketmaster, CRM, POS, weather, and sports calendars into proactive, revenue-driving recommendations, in seconds instead of hours.
6
AI Agents
24/7
Real-Time Recommendations
85-90%
Targeting Accuracy
Sec
Analysis Time vs Hours
Winnia's operations team was making dozens of daily decisions about sales, promotions, and season ticket holder retention across multiple teams and leagues. Three problems were limiting their growth.
The sales team discovered opportunities too late. A half-empty section on game day meant lost revenue that could never be recovered.
Ticketmaster, CRM, POS, weather feeds, and sports calendars each lived in separate systems. Nobody had the complete picture needed to make informed decisions.
Every promotion, every seat upgrade offer, every retention campaign required human intervention. Multiply that by dozens of events per week, and it became a permanent bottleneck.
OneNine Innovations designed and deployed a multi-agent AI system built on LangGraph, an agent orchestration framework designed for complex workflows. The system comprises six interconnected intelligent agents, each specialized in a business domain.
A central agent coordinates the entire platform. It receives requests, analyzes intent, injects context from CRM, POS, weather, and event data, then routes each request to the right specialist agent. Every morning it generates a Daily Briefing with 2-4 prioritized recommendations.
Detects flash sale opportunities by analyzing fill rates, weather, team performance, and purchase history. Recommends targeted promotions in real time before revenue windows close.
Identifies upgrade and cross-sell opportunities before, during, and after games, parking, food, merchandise, and seat upgrades, maximizing per-fan revenue.
Analyzes churn signals and launches personalized retention campaigns for at-risk season ticket holders, turning potential losses into renewals.
Consolidates recommendations from all specialist agents, ranks them with ML scoring, and presents a unified view for human validation before any action is taken.
The system was demoed live in Las Vegas to decision-makers in the sports and entertainment industry. The concrete results speak for themselves.
Every morning, the operations team receives prioritized, actionable recommendations instead of scrambling to react after the fact.
By cross-referencing CRM, POS, ticketing, and sports context data, the system creates a complete picture of every fan, enabling truly personalized engagement.
Promotions are triggered automatically based on real-time signals: weather, team performance, and fill rates. No manual intervention required.
The sales team shifted from manual execution to strategic validation, dramatically increasing their impact across dozens of weekly events.
"It's like having a team of strategists that never sleeps, analyzing every signal and telling us exactly what to do, when to do it, and for whom."