ATM Uptime & Cash Logistics Optimization

Problem

An ATM operator was experiencing unpredictable outages and overfilling under variable traffic conditions. Downtime averaged 8-12% monthly, and cash logistics were reactive rather than predictive.

Approach

We implemented:

• Route Scoring: Prioritized service by transaction volume and downtime risk
• Alerting System: Real-time notifications for low cash, hardware errors
• Refill Thresholds: Dynamic targets based on historical transaction patterns
• SLA Framework: Clear service windows and escalation paths

Deliverables

• Airtable ops dashboard with automated alerts
• Route optimization schedule
• Cash forecasting model
• Maintenance SOP documentation

Impact

• Downtime: Reduced from 8-12% to 5-6% (34% improvement)
• Cash Cycles: Tightened float utilization; fewer emergency runs
• Cost Savings: Reduced service truck rolls by 20%
• Uptime Visibility: Real-time monitoring vs. reactive discovery

Stack & Tools

• Airtable for operations tracking
• Zapier for alert automation
• Google Sheets for cash forecasting
• SMS notifications via Twilio