850 purchase order
Receive, translate and validate retailer demand before creating the appropriate Fishbowl sales order.
Fishbowl + retailer EDI
DataShip designs Fishbowl-centered EDI operations with partner-specific validation, transaction monitoring, exception queues, retries and support visibility.
The operational problem
Receiving a file is not enough. Customer rules, product identifiers, acknowledgments, shipment details and invoices must remain aligned from the trading partner through Fishbowl and fulfillment.
Connected workflow
Receive, translate and validate retailer demand before creating the appropriate Fishbowl sales order.
Return accepted, changed or rejected status using the retailer's required rules and timing.
Build accurate shipment, carton, item and tracking detail from the fulfillment event.
Generate invoice-ready output after the required shipment and Fishbowl conditions are satisfied.
Share approved availability using source-of-truth, location and inventory-policy controls.
Process demonstration
This concise, sample-data sequence shows the systems, exception path, human decision and validated outcome DataShip would design around in a real engagement.
A people-and-transaction walkthrough of the purchase order, validation, Fishbowl execution, warehouse shipment, ASN, invoice and reviewable controls.
What changes
DataShip designs around the complete business process, then adds monitoring, documentation and support so the integration remains understandable after launch.
Maintain an audit path from source document through Fishbowl records and outbound response.
Apply retailer and customer rules before bad data reaches the operational system.
Give support teams the document, reason, owner and safe retry path.
Work with an established EDI provider or a focused DataShip-managed control layer.
Common questions
Not necessarily. DataShip can work with an existing EDI provider and own the Fishbowl mapping, business workflow, exception handling and surrounding system connections.
The defined Fishbowl-centered scope covers the common 850, 855, 856, 810 and 846 flows. Additional documents and partners require separate discovery and validation.
No responsible provider should promise that without reviewing each trading partner. We recommend a focused pilot, reusable canonical model and controlled partner-by-partner expansion.
Transactions should enter an exception queue with validation details, ownership, alerting, audit history and a controlled replay after correction.
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 ↗