Commerce + analytics + CRM + decision intelligenceAustralia · Enterprise implementation
Comlytix
SecurityDiscuss requirements
Integrations and architecture

Connect specialist systems without pretending to replace them.

Comlytix reads data from authoritative platforms, normalises shared business entities and writes back only approved actions. The integration design documents ownership, frequency, failure handling and security boundaries before implementation.

AcquisitionGoogle AdsMetaTikTokLinkedInMicrosoftGA4
Comlytix intelligence layerEntity modelMetric governanceIdentity and journeysCost and marginDecision intelligence
OperationsShopifyBigCommerceShippitCIN7 / ERPCRMFinance
Integration register

Every connection has an explicit contract.

SystemPrimary entitiesTypical methodDirection
Advertising platformsAccounts, campaigns, ads, spend, conversionsScheduled API ingestionRead
Social networksProfiles, posts, audience, engagement, videoScheduled API ingestionRead
Shopify / BigCommerceOrders, customers, products, refunds, inventoryAPI + webhooksRead; controlled write-back where required
ShippitOrders, quotes, shipments, tracking, costAPI + shipment eventsRead; booking only when approved
Inventory / ERPStock, purchasing, suppliers, cost, fulfilmentAPI, database, SFTP or managed exportRead; governed operational actions
FinanceInvoices, payments, accounts, cost and marginAPI or controlled data feedRead
Architecture controls

Production integration is more than connecting an API.

01Authoritative source

Define which platform owns each entity and which system is allowed to update it.

02Identity and mapping

Resolve accounts, customers, products, campaigns, orders and shipments across systems.

03Freshness and latency

Set ingestion frequency based on the decision or workflow that consumes the data.

04Failure handling

Retry, quarantine, alert and reconcile incomplete or duplicate events.

05Security boundary

Use least privilege, server-side secrets, scoped access and environment separation.

06Observability

Track source health, volume, latency, failures, schema changes and data quality.

Next step

Create the source-of-truth and integration register.

A short architecture review can identify authoritative systems, high-value entities, integration risk and the correct bounded first release.

Discuss your requirements Review implementation