Why Your Spreadsheet Has Five Names for the Same Product

You search for a product and find five records that look almost identical. Are they the same item? Different sizes? Different case quantities? Nobody is quite sure.

So someone creates another record.

That small decision adds to a problem that can spread through the business. Purchasing, inventory, and reporting all depend on the information in your system. When that information is inconsistent, every workflow using it becomes harder to manage.

In my supply chain experience, I’ve seen the effects across all three areas. Clean, standardized data is one of the first places I would look when an organization wants to improve its operations.

One product, several names

Consider this fictional example:

These records might describe the same product. But similar descriptions alone don’t prove they are duplicates. Manufacturer part numbers, specifications, and purchasing units need to be checked.

Until someone verifies the records, employees are left making judgment calls each time they search, purchase, receive, or count the product.

How inconsistent records disrupt operations

Purchasing can order stock the business already has. Inventory may be available under another item number, but the buyer doesn’t find it. That can lead to unnecessary orders and money tied up in excess stock.

Inventory becomes harder to locate and reconcile. Employees may receive against one record and issue against another. A physical count can reveal stock that appears missing in the system—or shortages where the system shows plenty.

Reports can split one product across several records. Usage, spending, and inventory balances become fragmented. Someone has to combine the records manually before the information is useful.

Employees lose time investigating routine questions. “Which item should I use?” becomes a recurring interruption. Experienced employees may know the answer, but that knowledge is difficult to transfer to someone new.

The effects compound because the same records move through multiple workflows.

Start by checking for possible duplicates

My first recommendation is straightforward: look for items entered more than once under slightly different names.

Start with a manageable group, such as frequently purchased supplies or a product category that regularly causes confusion.

1. Export the relevant item records. Include item numbers, descriptions, manufacturer part numbers, units of measure, and pack quantities where available.
2. Group similar records. Look for differences in abbreviations, word order, spacing, and spelling.
3. Verify what each record represents. Check specifications, size, material, and quantity. A box of 100 and a case of 1,000 must remain distinguishable.
4. Flag confirmed duplicates for controlled correction. Check inventory balances, open orders, and transaction history before making changes.
5. Choose a consistent naming format. Apply the same structure to future records.

Don’t delete or merge records based on similar names alone. How you correct a duplicate depends on your system and the transactions connected to it.

Give new records a consistent structure

A naming standard doesn’t need to be complicated. It needs to capture the differences employees rely on.

For gloves, a useful description format might be:

Product → Material → Size → Color → Pack quantity

For example:

Gloves, Nitrile, Large, Blue, 100/Box

Other product categories will need different attributes. The goal is to make records easy to search, identify, and distinguish. Keep structured details in dedicated fields where your system supports them.

Assign responsibility for maintaining the standard, and require a search for an existing item before someone creates a new one. Otherwise, the same problems can return after cleanup.

Better data supports better operations

Data cleanup is foundational work. When employees can identify the correct item and trust the information attached to it, purchasing, inventory, and reporting become easier to manage.

Start small. Verify possible duplicates. Establish a naming standard. Then use that standard consistently.