How do you clean inconsistent distributor account and product data?
By Bevbase ·
A practical guide from Bevbase, with product examples and criteria to help you evaluate the fit.
The short answer
Start by mapping the report fields, then review account identity, product identity, units, and reporting periods separately. Use more than a similar name to decide whether two rows describe the same location or product. Bevbase supports column mapping, account matching, and product-name normalization in its report workflow, so approved sales data can connect to the right CRM records and analytics.
Resolve the location before combining account history
A chain can have several stores with similar names, while one independent account may appear under several abbreviations. Compare available address, city, state, and source identifiers. A matching name is a clue, not a complete identity check.
Keep ambiguous matches available for review. Combining two locations can make one account look unusually strong and erase another from the sales history. The correction affects CRM context and potentially the locations shown to consumers.
Preserve the product and package distinction
A distributor's item description may shorten the brand name, omit punctuation, or include the package size in an unexpected field. Match it to the actual catalog item. Distinguish expressions, wines, vintages where relevant, and packages before comparing quantities.
Do not use one convenient conversion for every row. If the file reports bottles and the analysis uses cases, the pack size must be supported by the source or verified product data. If the unit cannot be established, flag the uncertainty rather than inventing a comparable total.
Verify the result on a small set of rows
Choose a known account, a product alias, and an ambiguous row. Review their mapping and then inspect the published result. Confirm that repeated or corrected files are handled intentionally and that reported revenue is not silently filled from an unrelated price.
Bevbase connects reviewed report records to account history and analysis. That makes careful import review valuable beyond a single dashboard: the buyer brief, opportunity context, reorder discussion, and store locator all depend on the underlying records being associated correctly.
Illustrative example
Two stores with the same trading name
Two distributor rows use the same retailer name but have different street addresses. A third row abbreviates the first store's name and includes its address.
Treat the addresses as location evidence. Review whether the abbreviated row belongs to the first store, while preserving the second store as a separate account. Do not merge all three merely because the names look similar.
What to ask for in a demo
- Review a same-name account at two addresses.
- Map a product abbreviation to the correct catalog item.
- Inspect the package and source quantity unit.
- Reconcile the published total to selected source rows.
- Verify that an ambiguous match can be resolved before relying on it.
Related questions
Should similar account names be merged automatically?
Not on name similarity alone. Review location and other available identifiers. Chain branches, businesses that moved, and similarly named independent accounts can otherwise be combined incorrectly.
What is a product alias in a depletion report?
It is a different label a source uses for a product in your catalog. The alias should resolve to the correct product and package; it should not collapse distinct expressions, vintages, or sizes into one item without a valid basis.
See it with your own account or report.
Bring a recent account conversation or a representative distributor file. We'll walk through the CRM records, data, and next steps together.