LioraEngine

AI as an API — powering real-time recommendations for iGaming and FinTech.

Predict. Explain. Recommend. — Intelligence that drives customer action.

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INSIGHTS DETECTED • 2h ago

🎮 iGaming Recommendation Engine

LioraEngine → “I’ve detected several high-value players showing inactivity this week. One player with a €1,000 deposit last month hasn’t logged in for 10 days.”
Cross-checking engagement, balances, and support activity...
“The player shows 89% churn probability.
Key drivers:
  • 3 unresolved Zendesk tickets about delayed withdrawals
  • Drop in Postgres game logs over 10 days
  • No campaign engagement in Snowflake data
🧠 Recommendation:

Escalate unresolved tickets and issue a personalized €50 goodwill bonus to re-engage the player.

Do you want me to notify the CRM to move them into the “Retention Priority” segment?

INSIGHTS DETECTED • 1h ago

💳 FinTech Recommendation Engine

LioraEngine → “I’ve analyzed this week’s payment and conversion performance across markets and detected performance drops in multiple regions.”
Correlating acceptance, conversion, and uptime metrics...
“Summary of detected trends:
  • Conversion rate: 8.4% vs 12.9% last month (−4.5 pts)
  • Acceptance rate: −7% MoM decline in the UK market
  • Downtime: 3-hour payment API outage on June 10 causing 25% transaction loss
  • Zendesk: Spike in support tickets about failed verifications
  • PostgreSQL logs: Surge in payment retries and failed card attempts
🧠 Recommendation:

Notify Ops about downtime correlation, optimize retry logic in payment APIs, and launch a re-engagement campaign for affected markets.

Do you want me to alert RiskOps and CRM to start the recovery flow automatically?

🟢 Live Insight Detection

LioraEngine continuously monitors your iGaming or FinTech data — detecting anomalies, churn risk, conversion drops, or downtime before your team does. It doesn’t wait for queries. It acts when your business needs attention.

Why It Matters

LioraEngine doesn’t just analyze — it notices. Turn silent churn, downtime, or performance issues into proactive, data-driven action.

Always-on Insight Layer Detects Issues Before You Do AI That Watches Over Your Business

📈 Measurable Business Outcomes

KPI Before After Result
Time to detect churn patterns Manual discovery (days/weeks) Automated detection (hours) 70–90% faster
Conversion loss due to downtime Often discovered post-incident Alerted in real time 30–50% mitigation
Retention intervention delay After financial impact Before player churn +10–15% retention lift
Support workload Reactive tickets Predictive action −20–25% load

These results show how operators and financial teams use LioraEngine to turn monitoring into measurable growth.

🔗 Data Sources & Integrations

Connect LioraEngine to your existing stack to unify insights from CRMs, ticketing, and databases.

Zendesk
Snowflake
Redshift
PostgreSQL
MySQL