The Scenario
A product manager pinged you at the end of Friday: "We need to understand which regional backgrounds our customers skew toward before the localization roadmap review on Monday." You're a localization manager at an e-commerce company. The customer list in Excel has 20,000 names. The CRM doesn't capture language preference. Surveying 20,000 people before Monday is not a plan.
The bad version:
- Try to infer origin from email domains — works for country-TLDs, fails for the 60% of customers who use Gmail.
- Pull a sample of 200 names and extrapolate to the full 20,000 — then explain why a localization decision affecting two quarters of engineering work is based on 1% of customers.
- Tell the PM the data doesn't exist and watch the roadmap get decided on gut feel instead.
The roadmap affects which languages get developer resources for the next two quarters.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads your Excel workbook and calls Interzoid's name origin API for every customer row.
For each name in column A, use Interzoid to detect the likely country or region of origin and write the result to column B.
What You Get
- Column B: estimated origin region per customer name.
- A workbook ready for pivot analysis — customer count by region, average order value by region.
- Low-confidence results flagged for exclusion from the regional count.
What If the Data Is Not Quite Ready
Column A has only first names — use first name for origin inference
Call Interzoid's name origin API for every first name in column B and write the inferred origin region to column C, then add a summary pivot counting customers by origin region.
Some rows have company names instead of personal names
For each entry in column A, first classify whether it looks like a personal name or a company name. If it looks like a company, write 'SKIP' to column B. If it looks like a personal name, call Interzoid's name origin API and write the detected region to column B.
You want to weight results by revenue to surface high-value segments
After writing origin regions to column B, create a summary worksheet showing average order value from column C grouped by origin region in column B, sorted by average order value descending.
Full enrichment + regional analysis in one shot
For each name in column A, call Interzoid's name origin API and write the detected region to column B. Flag low-confidence results in column C. Create a summary worksheet with count of customers per region and average revenue from column D per region, sorted by revenue descending.
The Monday roadmap meeting has actual data behind the localization priority list.
Try It
Get the 7-day free trial of SheetXAI and open your customer list workbook — ask SheetXAI to append Interzoid name-origin data to column A before your localization roadmap review. Then see the spoke on detecting the language of survey responses, or the full Interzoid integration overview.