System Integration

System Integration

We connect disparate business systems — ERP, CRM, POS, inventory management, payment processors, and third-party SaaS tools — into unified data workflows that eliminate manual data entry and reduce synchronization errors. Our integration projects for pharmacy clients like Harbor Rx and Crossroads Chemists involved connecting prescription management systems with inventory databases, patient notification services, and insurance verification APIs to create seamless pharmacy operations. We build integrations using event-driven architecture with message queues (RabbitMQ, AWS SQS, Kafka) for reliable asynchronous processing, and RESTful or SOAP connectors for real-time synchronization. Data mapping and transformation layers handle schema differences between systems, with validation rules ensuring data integrity at every handoff point. Typical integration projects run 4-10 weeks depending on the number of systems and API documentation quality, with a thorough discovery phase to map all data flows before writing code.

Connect ERP, CRM, POS, inventory, and accounting systems through custom API integrations with data mapping layers that handle schema differences between platforms.

Build event-driven integration pipelines using message queues (RabbitMQ, AWS SQS, Apache Kafka) for reliable asynchronous processing with dead-letter queues for failed messages.

Implement real-time data synchronization between systems using webhooks and change data capture (CDC), reducing data staleness from hours to under 30 seconds.

Design ETL (Extract, Transform, Load) workflows for batch data migrations and nightly synchronization jobs with validation rules ensuring data integrity at every stage.

Integrate payment processors (Stripe, Square, PayPal), shipping providers (USPS, FedEx, UPS), and communication services (Twilio, SendGrid) with unified error handling.

Connect healthcare and pharmacy systems with insurance verification APIs, prescription management databases, and patient notification services while maintaining HIPAA-compliant data handling.

Build custom middleware layers that normalize data formats (date formats, currency, address schemas) across systems that use different conventions and standards.

Implement integration monitoring dashboards tracking message throughput, processing latency, error rates, and data reconciliation reports to identify sync failures within minutes.

Conduct a 1-2 week discovery phase to map all existing data flows, identify integration points, document API capabilities, and flag potential bottlenecks before development begins.

Provide integration runbooks and alerting configurations so client operations teams can monitor system health and respond to synchronization issues independently.