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Automated notification of anomalies in data

Purpose

1.1. Detect, alert, and escalate irregularities in arcade machine data for operational, financial, and security insights.
1.2. Provide real-time notifications to stakeholders when sales, play counts, maintenance logs, or system metrics deviate from expected patterns.
1.3. Enable fast issue resolution, reduce machine downtime, minimize revenue loss, and support compliance with business analytics requirements.
1.4. Automate multi-channel alerts (SMS, email, chat, voice) to service teams, management, or IT as soon as anomalies occur.

Trigger Conditions

2.1. Sudden spikes/drops in daily or hourly revenue compared to historical averages.
2.2. Unexpected inactivity or zero play events for active hours.
2.3. Error codes, tampering alerts, or maintenance sensor events outside normal tolerances.
2.4. Network latency or disconnection from central dashboard.
2.5. Inventory or part-reorder thresholds exceeded by sensor readings.
2.6. Suspicious payment or transaction anomalies (e.g., repeated failed transactions, unusual payment methods).

Platform Variants

3.1. Twilio
• Feature/Setting: Programmable Messaging API (send SMS) – configured with anomaly webhook and recipient phone numbers.
3.2. SendGrid
• Feature/Setting: Mail Send API – setup with anomaly event as email trigger, custom subject/body.
3.3. Slack
• Feature/Setting: Incoming Webhooks – use alert payload templates for posting anomaly details to a channel.
3.4. Microsoft Teams
• Feature/Setting: Connector/Webhook – configure incoming webhook with machine anomaly message card.
3.5. PagerDuty
• Feature/Setting: Events API v2 – trigger incident on anomaly; route to technical on-call schedule.
3.6. Discord
• Feature/Setting: Webhook URL – deliver anomaly notification embeds to server channel.
3.7. Opsgenie
• Feature/Setting: Alert API – send critical alert; auto-escalate if not acknowledged in given time.
3.8. ServiceNow
• Feature/Setting: Table API (Incident) – create new incident record when anomaly detected.
3.9. Zendesk
• Feature/Setting: Tickets API – generate support ticket on each machine anomaly, with machine and timestamp metadata.
3.10. Google Chat
• Feature/Setting: Webhooks – push card notification with clickable machine detail links.
3.11. Microsoft Outlook (Office 365)
• Feature/Setting: Mail Send REST API – forward anomaly report to predefined distribution lists.
3.12. Amazon SNS
• Feature/Setting: Publish API – send multi-protocol (SMS, email, app) notifications when event data matches anomaly thresholds.
3.13. Firebase Cloud Messaging
• Feature/Setting: send API – push critical notifications to registered field engineer mobile apps.
3.14. Jira
• Feature/Setting: Issue Create API – auto-create task ticket for maintenance review on anomalies.
3.15. WhatsApp Business
• Feature/Setting: Cloud API – send machine alerts to operational WhatsApp contact lists.
3.16. Telegram
• Feature/Setting: Bot API – deliver chat alert with anomaly snapshot image or data attachment.
3.17. HubSpot
• Feature/Setting: Engagements API – log anomaly notification as activity on customer account for large site operators.
3.18. Pusher
• Feature/Setting: Channels API – broadcast anomaly alert to in-app operator dashboard.
3.19. Zapier
• Feature/Setting: Webhooks & Email – auto-reply or relay to other connected tools per custom rules.
3.20. Google Sheets
• Feature/Setting: Sheets API – append anomaly row; trigger Google Apps Script to email admin.
3.21. Webex Teams
• Feature/Setting: Messages API – post machine and anomaly context to dedicated team spaces.
3.22. Splunk
• Feature/Setting: HTTP Event Collector – index anomaly events for audit and visualization.
3.23. Freshdesk
• Feature/Setting: Ticket API – open/assign support case on anomaly occurrence, auto-close on resolution trigger.

Benefits

4.1. Rapid stakeholder awareness improves incident response and service levels.
4.2. Consistent and reliable alerts reduce manual oversight effort.
4.3. Multi-system integrations support flexible workflow adaptation and data traceability.
4.4. Automated compliance and audit records for data-driven accountability.
4.5. Enhanced machine uptime and revenue protection via proactive anomaly management.

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