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Clever Ops - AI Business Automation Australia
DEAR Inventory + Jobber

Real-Time DEAR Inventory to Jobber Sync - Purpose-Built for Your Business

Your team uses DEAR Inventory and Jobber every day. Our custom integration ensures data flows between them automatically - no more tab-switching, copy-pasting, or worrying about missed updates.

8+ hours/week
Saved weekly
3 months
Post-launch support
2 weeks
Setup time
One-way
Sync direction

Why Connect DEAR Inventory to Jobber?

No single source of truth when products live in two disconnected tools, so staff second-guess which system has the correct information

Online orders in DEAR Inventory and in-store inventory in Jobber are never in sync, frustrating customers

DEAR Inventory uses a REST API while Jobber uses REST + Webhook, requiring careful middleware to translate data formats between the two platforms

Reporting across DEAR Inventory and Jobber requires painful manual exports and spreadsheet merges

Manually copying data between DEAR Inventory and Jobber wastes hours every week that could be spent on revenue-generating work

Production order data in DEAR Inventory and inventory levels in Jobber are reconciled manually, risking stock-outs

New team members take longer to onboard because they must learn manual workarounds to keep DEAR Inventory and Jobber aligned

DEAR Inventory limitations compound the integration challenge: reporting customisation is limited compared to dedicated BI tools, and some businesses need to export data for deeper analysis

How We Help

Connecting DEAR Inventory (e-commerce) with Jobber (industry tools) is one of the most requested integrations among Australian Manufacturing and Retail & E-commerce businesses. This integration eliminates the manual transfer of products and purchase-orders data, reducing errors and freeing up your team to focus on growth. On the technical side, DEAR Inventory uses a REST API with API key authentication, and Jobber authenticates via OAuth, which our team handles as part of the build.

Real-Time Visibility Across Teams

When a record updates in DEAR Inventory, every team member working in Jobber sees the change instantly. No lag, no stale dashboards, no conflicting reports.

Scalable Without Extra Headcount

As your data volume grows, the integration scales with you. No need to hire additional admin staff to keep DEAR Inventory and Jobber in sync, even as your business doubles.

Amplify DEAR Inventory Strengths

DEAR Inventory excels because comprehensive inventory management with multi-location warehousing, batch/serial tracking, and Bill of Materials for manufacturing. Connecting it to Jobber ensures that advantage flows through your entire workflow rather than staying siloed in one tool.

Built-In Error Handling and Alerts

Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between DEAR Inventory and Jobber, your team knows immediately and the system self-recovers where possible.

DEAR Inventory to Jobber Use Cases

1

Automated error handling and retry for DEAR Inventory/Jobber sync

When a sync between DEAR Inventory and Jobber fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between DEAR Inventory and Jobber

DEAR InventoryJobberNotes
DEAR Inventory TimestampsJobber Audit LogCreated and modified timestamps preserved for sync conflict resolution and compliance
DEAR Inventory Owner/AssigneeJobber Owner/AssigneeRecord ownership mapped between platforms using email address as the matching key
DEAR Inventory Record IDsJobber External ReferencesCross-reference identifiers stored on both records for bidirectional lookups and deduplication
DEAR Inventory ProductsJobber Custom FieldsProducts data from DEAR Inventory stored in Jobber custom fields for reference
DEAR Inventory Purchase-ordersJobber Custom FieldsPurchase-orders data from DEAR Inventory stored in Jobber custom fields for reference
DEAR Inventory BomJobber Custom FieldsBom data from DEAR Inventory stored in Jobber custom fields for reference
DEAR Inventory Stock-transfersJobber Custom FieldsStock-transfers data from DEAR Inventory stored in Jobber custom fields for reference
DEAR Inventory Sales-ordersJobber Custom FieldsSales-orders data from DEAR Inventory stored in Jobber custom fields for reference

DEAR Inventory + Jobber Integration FAQ

The most common data objects synced between DEAR Inventory and Jobber include products, purchase-orders, sales-orders. We map each data type to its counterpart in the target system, including custom fields, metadata, and relationship data. The exact scope is tailored to your workflow during the discovery session.

By default, we configure DEAR Inventory to Jobber as a one-way sync, but bi-directional sync is possible if your workflow requires it. We will assess the best approach during the discovery session.

Most DEAR Inventory to Jobber integrations are completed within 2 weeks. We start with a discovery session to understand your specific workflow, then build and test the integration. Complex setups with custom business logic may take up to 4-8 weeks.

Yes. All data is transferred over encrypted connections (TLS/SSL). We follow least-privilege API access, never store credentials in plain text, and log all sync activity for audit purposes. For Australian businesses with compliance requirements, we can implement additional safeguards.

Integration pricing depends on complexity, including the number of data objects synced (products, purchase-orders, sales-orders), sync direction, custom business rules, and volume. Most DEAR Inventory to Jobber integrations fall within our standard integration tier. Book a free assessment to get a specific quote for your requirements.

Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in DEAR Inventory or user-defined fields in Jobber, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.

Yes, we handle one-time historical data migrations alongside ongoing sync. We map your existing products, validate data quality, and run test migrations before the final cutover. Most migrations complete within 4-8 weeks depending on volume.

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