Tech stack fragmentation is the primary cause of data inconsistency.
Enterprises operate with isolated systems (CRM, ERP, CMS) that do not share native data schemas. Manual information transfer between these nodes introduces operational latency and data corruption (Human Error Probability > 0).
The technical solution is not to seek an "All-in-One Suite," but to establish a microservices architecture or integration via REST/GraphQL APIs.
Middleware Architecture At Codence Lab, we do not use limited "out-of-the-box" integrations. We develop custom Middleware layers that act as universal translators between your systems.
Webhook Event Listeners: We configure listeners that react to state events (e.g.,
order.created,payment.failed) in real-time.Data Normalization: The script receives the raw JSON payload, cleans it, validates data types, and formats it according to the receiving system's requirements.
Error Handling & Retries: We implement exponential backoff logic. If the destination API fails (500 Error), the system queues the request and retries automatically, guaranteeing transactional integrity.
Technical Result: Bidirectional state synchronization with near-zero latency. Total elimination of manual data entry and guaranteed referential integrity across platforms
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