product-spec-bulk-cleanup

You can normalize FF&E schedules by standardizing casing, dimensions, units, and currency formatting directly on a master Google Sheet or standalone CSV, producing a clean dataset ready for procurement and analytics.

The best way to split dimension values is to use a normalization tool that automatically separates combined dimension strings into distinct W, D, H columns while preserving their original units, making the data ready for ordering and procurement.

Yes, you can standardize currency formatting and apply language translation to an FF&E spreadsheet. The normalization process ensures consistency across reporting and analytics by mapping diverse inputs into a canonical, cleaned dataset.

You can detect duplicates in a furniture schedule by running a data-cleaning process that surfaces potential duplicate entries for review. This reduces duplication across the library and ensures a clean master sheet.

Yes, this data-cleaning approach works with pasted tables and CSV files. It supports Google Sheets interactions and processes standalone files to return a clean, standardized spreadsheet for large projects with dozens of FF&E lines.