ERP Implementations & Connectors

The Back-Office Integration Problem

Growing e-commerce brands eventually hit the same wall: orders come in through Shopify, but fulfillment, inventory, and accounting live in a separate ERP. Without integration, someone is manually rekeying data between systems — introducing errors, adding latency, and consuming hours that could be spent on higher-value work.

We build the connectors that eliminate this wall. Bi-directional, reliable, observable integrations that keep your commerce and back-office systems in sync without manual intervention.

What We Connect

Shopify ↔ NetSuite

The most common integration we implement. Key data flows:

Shopify → NetSuite:

• New orders create NetSuite sales orders
• Customer records synchronized or created
• Fulfillment events update order status
• Returns and refunds create credit memos

NetSuite → Shopify:

• Inventory levels updated from NetSuite warehouse data
• Product information synchronized from NetSuite item records
• Price list changes propagated to Shopify

Financial reconciliation:

• Shopify payouts reconciled against NetSuite deposits
• Transaction-level mapping for auditing
• Automatic journal entries for payment processing fees

Shopify ↔ QuickBooks

For brands on QuickBooks (Online or Desktop):

• Order → invoice automation
• Customer record synchronization
• Payment and refund reconciliation
• Inventory level updates (QuickBooks Desktop)
• Tax calculation and reporting exports

3PL and WMS Integrations

Many brands use third-party logistics providers with their own warehouse management systems. We integrate with:

• ShipBob, Shipwire, Whiplash, and custom 3PLs
• EDI-based trading partner integrations
• Custom WMS systems via REST or SFTP

Architecture Principles

Event-Driven, Not Polling

We build integrations that react to events (webhooks, message queues) rather than polling on fixed intervals. Event-driven integrations are more responsive, more reliable, and put less load on all connected systems.

Queue-Based Reliability

All data flows through durable message queues. This means:

• No data is lost if either system is temporarily unavailable
• Processing is retried automatically on failure
• High-volume periods don't overwhelm the receiving system

Idempotent Processing

Every integration is designed so that processing the same event twice produces the same result. This eliminates duplicate records when retries are necessary.