Patchworks integration for ecommerce middleware and automation

Use Patchworks when you have multiple workflows (e.g., order routing, pricing feeds, returns, customer sync) and want a single platform to manage them. Use a direct integration when a single high-volume or low-latency flow (e.g., real-time stock sync) needs a dedicated, purpose-built connector. iWeb can advise on the right mix for your estate.

iWeb designs workflows with built-in retry logic, exponential backoff and dead-letter handling. If the failure is transient (network timeout, rate limit), the workflow retries automatically. If the failure is permanent (bad API key, data validation error), the record is routed to a dead-letter queue and an alert is sent to the team responsible for that data flow. iWeb defines the SLA for resolution.

iWeb integrates Patchworks with your secrets-management system (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) so API keys are stored outside Patchworks and rotated on a schedule. iWeb configures audit logging so you can see who accessed a credential and when. Credentials are never hardcoded or stored in version control.

No. Patchworks is a conduit layer. Operational data ownership (orders, stock, customer accounts, invoices, pricing) remains with your ERP, OMS, PIM and CRM. iWeb ensures Patchworks is used for transformation, routing and monitoring only, not as a replacement for governed source systems.

iWeb sets up dashboards showing workflow run frequency, success rate, error rate, latency and data volume. Alerts are configured for failures, delays and anomalies. Logs are aggregated so you can trace a specific order, pricing record or customer sync from ingestion through Patchworks to the target system. Your team defines alert thresholds and escalation paths.

iWeb designs fallback logic so that critical workflows (e.g., order capture) have a synchronous path that does not depend solely on Patchworks. For non-critical workflows (e.g., batch pricing feeds), iWeb configures retry logic and queuing so that when Patchworks recovers, it catches up on missed data. SLAs for each workflow are defined during design.

Yes, with planning. iWeb documents each transformation rule and its downstream dependencies. Before you change a rule, iWeb runs tests to ensure the new output format is accepted by the target system and does not break other workflows that consume the same data. Changes are versioned so rollback is possible.

iWeb builds circuit breakers, exponential backoff and token-bucket throttling into Patchworks connectors so they respect API rate limits. If an endpoint is slow or rate-limited, the workflow backs off gracefully and queues requests rather than hammering the API. iWeb documents the rate limits and backoff strategy for each endpoint.

Patchworks supports both. Event-driven workflows (e.g., order capture, despatch updates) are near-real-time, triggered by webhooks or polling short intervals. Scheduled batch workflows (e.g., daily pricing feeds, weekly customer reconciliation) run on a schedule. iWeb designs the right frequency for each data flow based on business requirements and system capacity.

iWeb designs conflict-resolution rules into each workflow. For example, if both the ERP and the storefront update customer credit limits, the workflow applies a rule (e.g., 'use the lower limit', 'ERP is source of truth') and logs the conflict. The rule is documented and can be changed, but never applied silently.

iWeb enforces clear ownership boundaries: Patchworks transforms and routes data, but never creates, modifies or owns the authoritative record. Before the integration is built, iWeb maps which system owns each data field (ERP owns invoice amounts, commerce owns cart contents, etc.). Patchworks is documented and auditable so this ownership is always clear.

Yes. iWeb designs workflows to ingest orders from multiple marketplaces (Shopify, Amazon, eBay, Faire, etc.), deduplicate them, enrich them with inventory and customer context, and route them to your ERP or OMS. Patchworks applies transformations so each marketplace's order format is standardised before it reaches your internal systems. Status and tracking are sent back to each marketplace.

iWeb maintains a data dictionary documenting why each transformation exists and which systems depend on it. When a rule changes, iWeb assesses the impact on all downstream workflows, runs tests, and schedules a rollout (or rollback). The old version is retained so you can compare before-and-after data if needed.

iWeb configures freshness monitoring so you see when the last successful update was for each data flow. If pricing has not updated in 2 hours or stock in 30 minutes (thresholds you define), an alert fires. Dashboards show lag between the source system, Patchworks and the target, so you know where delays occur.