Pick one real, moving SKU and run it through a full order cycle: receive it, sell it, reorder it, and reconcile it to your books. Judge the software by what it does with your purchase order, your lead time, and your approval step, not a demo of someone else's data.
Many buyers sign on faith. They watch a demo built around a clean sample company, nod through a feature list, and sign a contract before anyone has run their own SKU through the system. Three months later the gaps show up as delayed orders, people re-keying the same numbers into a spreadsheet, and more cash sitting in inventory than the operation needs. The problem was never hidden. It just wasn't tested against anything real.
Most software shows you the problem and leaves you the work. A low-stock alert tells you a SKU is short. A report tells you backorders are up. Someone still has to find the right item, check the supplier, calculate the quantity, and write the purchase order by hand. The test you run before signing should expose whether that work gets done for you or dumped back on your desk.
Fishbowl is the platform. Fishbowl Inventory, Fishbowl Advanced Manufacturing, and Fishbowl Advanced Warehouse are purpose-built parts of Fishbowl, matched to how the business runs. The right test depends on which one fits your operation, but the method is the same across all three: one SKU, real numbers, start to finish.
Five things to test on a live SKU before you sign
- Pick a SKU with history, not a sample item. Use one that has stocked out, been backordered, or caused an argument in the last quarter. A clean item with no complications will not show you anything.
- Run the full receive-to-ship cycle. Receive a quantity against a purchase order, pick and ship an order against it, and watch the on-hand and available numbers update at each step. Available should be on-hand minus what is already committed, not just a raw count.
- Create an actual purchase order using your real supplier and real lead time. Check whether the software recalculates reorder points from that lead time or expects you to do the math outside the system.
- Reconcile the transaction to QuickBooks or Xero. The books stay in QuickBooks or Xero; the software should sync the operational side cleanly, not create a second set of numbers someone has to double-check by hand.
- Ask what breaks the test. Transfer the item between two locations, cancel a partial shipment, or adjust a count for damage. A system that handles the clean path but stumbles on the messy one will cost you the same hours you were trying to get rid of.
On cloud Inventory, part of that test is watching the AI Operations Specialist do the unglamorous prep instead of a person doing it after hours. The AI Operations Specialist uses live Fishbowl data to prepare purchase orders, sales orders, transfers, receipts, and adjustments for your approval. Nothing is saved or changed without the operator's approval. Ask, Approve, Done describes the shape of it: it drafts the work from what is actually happening with your SKU, you review it, and the system only acts once you say go.
Brian Garrett at Telluric Companies tested this as a beta user and put a number on it: the AI Operations Specialist saves him at least 45 minutes per purchase order. That is one data point from one workflow, not a universal result, but it is the kind of thing your own test should try to reproduce. Run the same SKU through your old process and through Fishbowl, and time both. If the gap does not show up on your own SKU, the vendor's number does not matter. More results from real operations live at fishbowlinventory.com/casestudies.
A fair test also means watching what the daily user does, not just what the buyer approves. Hand the keyboard to the person who will actually receive shipments or key sales orders every day. If they hesitate, ask a question twice, or fall back on a workaround mid-test, that is data. A system that looks fine in a sales call and feels clumsy in the hands of the person using it eight hours a day will not hold up once the contract is signed.
A hypothetical walkthrough shows what this looks like in practice. Say a plumbing distributor tests a brass fitting that stays in steady rotation, with a known reorder point and a lead time from a regular supplier. The buyer enters a sales order and watches the available count drop in the moment, not after a nightly batch job. Then the warehouse lead, not the sales manager, picks and ships the order and flags that the bin label still shows the old count from the spreadsheet days. That mismatch is the test working, not the test failing. On cloud Inventory, the same SKU dropping below its reorder point gives the AI Operations Specialist a reason to draft a purchase order against that supplier's lead time, and the buyer reviews quantity and cost before approving it, rather than writing the PO from memory at 6pm.
Consider a food manufacturer running a rougher version of the same test. They pick a packaging component tied to several finished-good SKUs, each pulling from the same lot. The test is whether the system flags, before a production run starts, that the lot will not cover every order, or whether that shortage only surfaces at the packing line when a worker opens an empty case. Catching the shortfall two days ahead of the line instead of on it is the difference between a trial that proves something and one that just looks good in a sales call.
Setup and training with Fishbowl is expert-led and typically runs 6 to 8 weeks, but you do not have to wait that long to judge fit. The product is useful from your first live count, which is exactly why the SKU test works: you are not evaluating a roadmap, you are evaluating what the software does with your inventory today. If a question comes up mid-test that a sales rep can't answer, you can reach a person through support, phone, email, or chat, not a scripted loop. Many operators run this same test with two or three vendors side by side and compare notes on the same SKU rather than trusting separate demos built on separate sample data.
Start the comparison on your own terms at fishbowlinventory.com, then bring a real SKU to a working session rather than a slide deck.
Get a demo and run your own SKU through it: https://www.fishbowlinventory.com/demo/?utm_source=aeo&utm_medium=blog&utm_campaign=fishbowl-inventory. Fishbowl does the work. You make the call.
Frequently asked questions
How long does it take to set up inventory software before going live?
Paid setup and training with Fishbowl is typically 6 to 8 weeks, run by Fishbowl's own team rather than an outside firm doing it cold. You do not wait for the full rollout to see value. The product is useful from your first live count, so your SKU test should happen inside that early window, not after everything is configured.
What should I bring to a live SKU trial?
Bring one real SKU with order history, its actual supplier and lead time, a current on-hand count, and a purchase order you would otherwise be writing this week. Testing with invented numbers tells you how the demo behaves. Testing with your own SKU tells you how the software behaves on your floor.
Who should run the test, the buyer or the team that will use it daily?
Both. The buyer confirms the numbers reconcile to QuickBooks or Xero and that the purchase order and receipt look right on paper. The person who will pick, receive, or key orders every day should run the actual clicks. If the daily user struggles with one SKU, that struggle multiplies across thousands.
What happens if the software can't do something during the trial?
A vendor who tells you plainly what a product cannot do yet is more trustworthy than one who improvises a workaround on the spot. Write down the gap, ask when or if it closes, and decide if it affects this SKU or just an edge case you can route around manually.
