Enterprise · Django
USDT — enterprise data integration platform
A data integration platform that syncs Magento, Salesforce, and Akeneo PIM in both directions — with schema migration, CSV bulk import, and a rules-first AI field mapper that handles messy enterprise data.
The challenge
Bidirectional workflow orchestration across the enterprise stack
Enterprise data integration is 80% mapping and 20% sync. USDT solves both: connectors that speak Magento, Salesforce, and Akeneo natively, plus an AI-assisted mapper that handles inconsistent field names — rules-first so the team can trust and audit every decision. Celery workers run bidirectional workflows on schedule or webhook trigger.
What we delivered
- Bidirectional sync across 3 enterprise systems
- AI field mapping with auditable rules and human override
- Bulk import with validation and de-duplication
- Versioned schema migrations with rollback
- Webhook and scheduled trigger support
- Full audit log for every sync event
Features
What we built
Six core capabilities that make the product what it is.
Bidirectional Sync Engine
Celery-based workers orchestrating data flow in both directions, with retry logic, conflict resolution, and a full audit log per event.
AI-assisted Field Mapping
Rules-first, LLM-second: deterministic rules handle 80% of fields, LangGraph resolves ambiguous cases with human-in-the-loop override.
Magento Connector
Full product catalog, orders, customers, and inventory sync with Magento REST and GraphQL APIs — bidirectional and schema-aware.
Salesforce Connector
Bidirectional CRM sync: contacts, accounts, opportunities, and custom objects with field-level mapping and conflict resolution.
Akeneo PIM Connector
Product attributes, families, channels, and locales mapped into a normalized internal schema — ready for downstream systems.
Schema Migration & Bulk Import
Versioned schema migrations and CSV bulk import with validation, de-duplication, and rollback — enterprise-grade data hygiene.
Stack
Built with the right tools
No dogma about tools. We assessed what the product needed, then chose the stack that delivers fastest and stays maintainable long-term.
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