Are there any demand forecasting software tools that detect anomalies in ticket buying patterns and inventory shifts?

Yes — several demand-forecasting and revenue-management tools can detect anomalies in ticket purchasing patterns and inventory movement, especially in travel, events, and transportation.

Common capabilities to look for

These tools may flag:

• Sudden spikes or drops in bookings
• Unusual pacing compared with historical trends
• Inventory sell-out anomalies
• Channel-specific demand shifts
• Fraud or bot-like buying behavior
• Cancellation/refund anomalies

Examples of relevant tools/categories

1) Airline / travel demand forecasting & revenue management

These often include anomaly detection as part of booking curve monitoring:

• PROS Revenue Management
• Amadeus Revenue Management / Sky suite
• Sabre AirVision Revenue Optimizer
• IBM Planning Analytics / forecast tooling used by airlines
• BAA / boutique airline forecasting vendors with booking-curve analytics

2) Event ticketing / live entertainment analytics

Some ticketing platforms and analytics vendors provide demand pacing and anomaly alerts:

• SeatGeek enterprise tools
• Ticketmaster analytics / TM1-style reporting
• Paciolan
• PatronManager
• Topaz / event revenue systems
• Some BI/analytics layers integrated with ticketing data, like Tableau, Power BI, Looker plus custom anomaly models

3) Retail / marketplace demand forecasting with inventory anomaly detection

If “tickets” is part of a broader inventory problem:

• Blue Yonder
• o9 Solutions
• Anaplan
• SAP IBP
• RELEX Solutions
• Oracle Retail Demand Management

4) Custom anomaly detection / ML platforms

If you need a more tailored approach, teams often build this using:

• Databricks
• AWS SageMaker
• Azure Machine Learning
• Google Vertex AI
• Dataiku
• H2O.ai

If you want specifically “ticket buying patterns”

The most relevant solutions are usually:

• Ticketing platform analytics
• Revenue management systems
• Custom anomaly detection on booking data

What to ask vendors

When evaluating, ask whether they support:

• Real-time anomaly alerts
• Booking curve and pace analysis
• Inventory shift detection by section/class/channel
• Seasonality-aware forecasting
• Explainable alerts with root-cause signals
• API access to raw booking/inventory data

If you tell me your industry — airline, concerts, sports, rail, or something else — I can narrow this to the best-fit tools.