Fishbowl
Key Info:
Fishbowl is inventory, warehouse and manufacturing software for businesses coordinating products, materials, orders and fulfilment. Its current product family combines inventory visibility with purchasing, sales, production, barcode operations, integrations and mobile warehouse work across cloud and connected operational environments.
Details
Stock and warehouse operations
Fishbowl tracks items, quantities and movements across locations and supports receiving, transfers, picking, packing and shipping. Barcode-oriented mobile workflows can reduce manual entry at the warehouse floor. Buyers should test the exact mobile application and scanner configuration intended for production, including offline or weak-network behaviour, incorrect scans, partial receipts and reversal of a completed movement.
Purchasing and manufacturing
Purchase orders, supplier records and replenishment activity connect incoming supply to current stock. Manufacturing functions can model bills of materials, work orders and production stages for businesses that assemble or make products. A meaningful proof should follow one item from component requirement to finished stock, including an alternative component, scrap, labour or overhead treatment and a late purchase order.
Orders and connected systems
Sales orders and fulfilment use the same inventory record, while integrations connect accounting, ecommerce, shipping and other services. The Fishbowl product family includes different deployment and feature combinations, so teams must verify which edition and connector applies. Integration tests should establish the source of truth for products, customers, costs and order status and demonstrate how failed or duplicated transactions are reconciled.
Fit and evaluation
Fishbowl may suit distributors, manufacturers and warehouse teams that need more control than an accounting package or spreadsheet provides. Evaluation should separate required inventory, manufacturing, commerce and AI modules rather than assuming every named capability is included. Review permissions, audit history, reporting, labels, imports, API coverage, upgrades, backup responsibilities, support and total implementation effort with real transaction volumes.
Decision record
Record the tested stock model, location structure, exception scenarios, required edition, verified integrations, data ownership, migration assumptions and named operational owner. Define opening-balance approval, cutover reconciliation, user training, support escalation and the measures that will determine whether the rollout is successful. Include a rollback threshold and a dated review of data quality after the first operating cycle. Keep unsupported pricing, customer-size, language and device values blank until a current official source maps them exactly to a BBS field.