Duplicate Prevention AI-Agents for Data Analysts in Retail

Hold possible duplicate invoices, link repeat quotes, check purchase forms. Every one is ready to run, and you can adjust it in plain language.

Update website datasets with new and changed rows.

Get new and changed rows from the public pages on your request forms every Monday, plus a workbook report of failed pages.

Import valid spreadsheet rows for analysis and flag entry errors.

Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.

Start analysis from usable CSV rows and review source line errors.

Your analysts get CSVs from new text exports in a shared folder. A companion report points to source lines that need fixing.

Combine weekly extracts and count exact duplicates removed.

Get a downloadable CSV from your teams' weekly extracts when the files are usable. See what needs attention in a summary beside it.

Deliver checked data extracts to colleagues each month.

Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.

Load new CSV data into a table and flag failed imports.

Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.

Add validated campaign-day rows to the analysis table.

See which campaign figures reached your analysis table and which rows need attention after your daily Google Ads to BigQuery import.

Load valid activity rows and flag rejects for analysis.

Get fresh website activity in your analysis table, with an import tally and a report of rows that need fixing.

Compare scraped rows with the last complete capture and flag failures.

See new and changed rows from the public pages you watch, with links to their sources and a clear status when a scrape fails.

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