Use Excel REGEX to Clean Supply Chain Data Fast
Excel has quietly become far more powerful with the introduction of REGEX functions. What used to take multiple helper columns and complex formulas can now be achieved in seconds.
Why Supply Chain Teams Struggle with Raw Data
Shipment data often arrives as a single text column containing transaction type, dates, quantities, returns, and supplier details all mixed together.
Traditionally, this required LEFT, MID, FIND, SUBSTITUTE, Flash Fill, and multiple helper columns — a time-consuming and error-prone process.
How Excel REGEX Changes Everything
- Extract transaction type instantly
- Identify 8-digit shipment dates
- Pull quantity values hidden after QY
- Validate records using REGEXTEST
With REGEXEXTRACT, Excel converts messy shipment text into a clean, analytics-ready table in minutes instead of hours.
Real Business Impact
This technique dramatically reduces manual effort, improves accuracy, and accelerates supply chain and operations analytics.
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