James Allman | JA Technology Solutions LLC
POS Item File Audit Checker
Compare a POS item export against the host item file and flag price, cost, and description mismatches by UPC.
POS Item File Audit Checker
Upload two item files (your merchandising or ERP host export and a store POS export, CSV or Excel) and audit them against each other. The checker joins rows on a UPC or item-number column, auto-detects comparable fields like retail price, cost, description, and attribute flags, and flags every mismatch plus items missing on either side. Leading-zero differences in UPCs are normalized automatically, numeric comparisons support a tolerance, and flag comparisons normalize Y/N, T/F, and 1/0 encodings so a host's 1 matches the POS's Y for tax, WIC, and scale attributes. The full exception list exports to CSV. Runs entirely in your browser. Your item data never leaves your machine.
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Why POS and Host Item Files Drift
The host merchandising system and the store POS are supposed to agree on every item: same retail, same cost, same description. In practice they drift. A price change applied at the host fails to transmit, a store override never gets cleaned up, an item gets added at the register that the host has never heard of. Every drifted item is a wrong shelf price, a margin error, or a scan-accuracy finding waiting to happen.
What This Audit Checks
The checker joins the two files on a UPC or item-number column, normalizing leading zeros so 0004011 and 4011 match. It then compares whichever fields you map: numeric fields like retail price and case cost (with an optional tolerance), text fields like description or department, and attribute flags like tax, WIC, scale, and food stamp eligibility. Flag comparisons normalize the common encodings, so a host that stores 1 agrees with a POS that exports Y, and only genuine attribute disagreements surface. The output is an exception list: items where the values disagree, items only in the host, and items only at the POS, all exportable to CSV for follow-up.
From Spot Check to Nightly Audit
A manual spot check finds today's drift in one store. Keeping a chain clean takes automation: pulling every store's item file nightly, comparing against the host, and routing exceptions to the people who fix them. I have built exactly that for grocery retailers. See grocery and retail services or integration services. For general-purpose file comparison, see the Data Diff & Compare tool; for cleaning up exports first, the CSV & Delimited Text Converter.
All tools run entirely in your browser. Your data never leaves your machine.