Who owns each piece of data?
Products, stock, prices, orders, customers and financial data should each have a clearly defined authoritative source.
Reliable integrations for systems that change and sometimes fail
Production integrations become difficult when data ownership is unclear, events arrive twice or late, providers become unavailable, schemas change or systems disagree. AspectSoft designs for those conditions.
An integration is a contract between systems
A reliable integration needs more than an endpoint and a scheduled job. It needs a clear source of truth, mapping rules, error handling, retry behaviour, observability and a defined way to reconcile data after partial failures.
AspectSoft develops APIs and integration layers for web platforms, e-commerce, operational systems and SaaS products using APIs, webhooks, asynchronous processing or scheduled synchronization as appropriate.
Questions we resolve before implementation
What consistency is actually required?
Some flows need near-real-time updates; others are safer and cheaper as controlled batches.
What happens after a partial failure?
Retries must not create duplicate orders, double-charge customers or silently overwrite newer information.
How is disagreement detected?
Critical integrations need reconciliation or audit mechanisms so mismatches can be found and corrected.
Integration capabilities
REST/API integration
Design and implementation of API clients, endpoints, authentication flows, mappings and clear interfaces between applications.
Webhooks & event flows
Event-driven integration with validation, idempotent handling, safe replay and retries, and traceable processing.
Synchronization
One-way or bidirectional synchronization with clear ownership rules, checkpoints and controlled update paths.
Integration layers
Middleware or application services that isolate business logic from provider-specific details and changing external interfaces.
Failure & recovery design
Timeouts, retries, dead-letter handling, manual recovery paths and safeguards against duplicated side effects.
Observability & reconciliation
Logs, status tracking and reconciliation for flows where missing or inconsistent data must be detected.
Integration design
-
Map systems and data ownership
Identify the authoritative source for each dataset, the direction of each flow, constraints, rate limits and authentication requirements.
-
Define interfaces and failure behaviour
Document mappings, idempotency rules, retry policies and what counts as success or failure across system boundaries.
-
Implement and test failure scenarios
Test duplicate events, delayed responses, unavailable providers, malformed data and recovery after interruption.
-
Operate and reconcile
Expose enough status, logs and identifiers to diagnose failures and verify that the two sides eventually agree.
Related systems & documentation
MiniStock documentation
Inventory and warehouse workflows with integration points for ERP, e-commerce and accounting systems.
Read technical documentationERP-Stock documentation
A separate stock-management system that documents operational inventory concepts and ERP-oriented workflows.
Read ERP-Stock documentationERP ↔ e-commerce technical study
A technical study of source-of-truth, synchronization and recovery decisions.
Read the technical studyNeruba
An event-driven billing product where webhook reliability, idempotency and reconciliation are core design concerns.
Visit Neruba ↗Practical questions before a project starts
Do you integrate ERP systems with e-commerce platforms?
Yes. Typical flows include products, stock, prices, orders and related operational data. The exact design depends on which system owns each dataset and how quickly updates must propagate.
Do all integrations need real-time synchronization?
No. Real-time is appropriate when the business impact or risk requires it. For other data, controlled batch synchronization can be simpler, easier to monitor and easier to recover.
How do you prevent duplicate processing?
Where the external system and workflow allow it, we design idempotency keys, event identifiers, state checks or other safeguards so retries do not repeat irreversible side effects.
Can you work with an undocumented or legacy API?
Sometimes, but the first step is technical discovery. We need to establish the actual interface behaviour, data quality and operational constraints before committing to an integration approach.
Contact AspectSoft
Get in touch to discuss software development, integrations, platforms or specialized systems.