Rather than starting development immediately, our team started by understanding the client's business processes and identifying the root causes behind the earlier failures.
Discovery and technical assessment
We conducted a detailed review of the client's existing ERP workflows, product data structures, custom operational processes, integration pain points, and the specific technical walls the previous implementations had hit. That assessment let us design a solution built for this environment, rather than adapting a generic ERP connector and hoping it held.
Designing a scalable integration architecture
Our engineers built an integration architecture capable of processing large volumes of Epicor ERP data while maintaining performance and reliability. The key design principles:
- Efficient batch processing rather than monolithic imports
- Incremental synchronization so only changed records move
- Optimized database operations
- Automated validation of incoming ERP data
- Comprehensive error handling and logging
- Retry mechanisms for failed transactions
Performance optimization at 50,000+ products
Volume was the single biggest reason earlier attempts stalled, so optimization was treated as a first-class requirement rather than a cleanup phase. Our team focused on minimizing API requests, streamlining ERP communication, reducing total synchronization time, preventing server timeouts, improving database efficiency, and ensuring the integration could recover gracefully when something unexpected happened upstream.
Engineering around existing business processes
Instead of asking the client to modify how they operate, we engineered the integration around their established workflows. Staff kept using the processes they already knew, which removed the retraining burden and the internal resistance that so often stalls ERP projects.