Client Case Studies
Real scenarios. Real outcomes. Real reliability.
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Israel
RESULTS
- Elimination of order loss scenarios
- Stable POS operation during network outages
- Reliable payment processing under degraded conditions
- Increased customer satisfaction
CONTEXT
About Tap2Dine
Tap2Dine is a self-service ordering and POS system used in restaurants and fast-food chains.
Customers place orders via kiosks or tablets, complete payments, and expect fast, uninterrupted service.
The system integrates with kitchen systems, printers, payment gateways, and delivery platforms.
Primary mission-critical requirement: orders and payments must be processed reliably without delay, duplication, or loss.
Challenge
Real-world POS conditions were full of failure points
Tap2Dine operated in a real-world environment with constant disruptions: unstable internet connectivity, third-party API failures, kiosk crashes, and payment disruptions.
As a result, orders could be lost, payments could fail or require retry, and failures were hard to trace. The core issue was that the system was not predictable under failure conditions.
Initial Risk Assessment
As part of EDC technology, the client completed a Crash & Risk Assessment Form describing critical operations.
Key findings included payment processing being mission-critical, order transmission not being allowed to fail, and the system needing to operate even during connectivity issues.
HOW WE HELPED SOLVE THE PROBLEM
EDC Reliability technology - redesigning the system to remain operational even when parts fail
We applied EDC Reliability technology to turn the POS from a cloud-dependent flow into a resilient distributed system with local continuity and controlled recovery.
Offline-first architecture: orders can be created without internet.
Local order persistence: no data loss during crashes.
Real-time synchronization: automatic recovery after reconnect.
Payment resilience: local terminal communication.
Device redundancy: continue orders on another kiosk.
Reliability Engineering Process
We conducted multiple iterations of risk analysis and architecture design to arrive at a final reliability architecture.
The final solution focused on offline operation and delayed sync, removal of single points of failure, data duplication and recovery, and predictable behavior under failure.
Key reliability improvements
No order loss: orders stored locally and synced continuously.
Offline operation: system works even during long outages.
Resilient payments: reduced dependency on cloud availability.
Full traceability: logging and audit trail.
The system was transformed from a cloud-dependent POS into a resilient, distributed system that continues to operate reliably during network failures, device crashes, and third-party outages.