Order release
Send approved orders, line details, service level and shipping instructions to the correct fulfillment location.
Fishbowl + 3PL integration
DataShip connects orders, inventory, shipments, tracking and adjustments between Fishbowl and external warehouses—then builds the controls needed to trust the result.
The operational problem
When the 3PL and Fishbowl disagree, operations, sales and finance lose confidence. The solution requires clear ownership for every quantity and transaction—not another unmonitored file transfer.
Connected workflow
Send approved orders, line details, service level and shipping instructions to the correct fulfillment location.
Receive warehouse quantities and translate them into the agreed Fishbowl location and ownership model.
Return shipped quantity, carton, carrier and tracking detail to Fishbowl and customer-facing systems.
Represent receipts, damages, returns and warehouse adjustments through controlled reason codes.
Compare expected and reported states, isolate variances and maintain a resolution history.
What changes
DataShip designs around the complete business process, then adds monitoring, documentation and support so the integration remains understandable after launch.
Give teams a consistent Fishbowl view across internal and outsourced locations.
Return shipment and tracking events without waiting for manual warehouse reports.
Use documented reason codes and ownership for inventory-changing events.
Focus the team on genuine discrepancies instead of comparing every record by hand.
Common questions
Yes, provided the warehouse offers a viable API, EDI, SFTP or structured data exchange. Discovery confirms the available transactions, timing and error-handling options.
The 3PL owns physical execution data while Fishbowl commonly remains the business inventory source of truth. The integration must define timing, available quantity and adjustment rules precisely.
The correct cadence depends on order volume, channel commitments, system limitations and operational risk. Some events should be near real time; full reconciliation may run on a scheduled cadence.
Yes, after the deterministic matching rules are sound. An agent can prioritize unexplained variances, summarize evidence and recommend investigation paths without making uncontrolled quantity changes.
Start with the problem
You do not need to know which platform, connector or project you need. Tell Benjamin what is breaking down, what your team is working around and what needs to improve. You will leave the first conversation with an honest view of the next step—even if DataShip is not the right fit.
Talk with Benjamin ↗