How to remove duplicates and normalize CSV data with AI
How to define deduplication keys, normalize values and review candidates before merging records in a CSV dataset.
Clear guides, examples and workflows to choose the right plugin, automate real work and understand what your agent needs.
Each article answers one concrete question and links to the relevant plugins and guides.
How to define deduplication keys, normalize values and review candidates before merging records in a CSV dataset.
A safe method for finding inconsistent formats, blanks and duplicates while producing a clean copy without overwriting the source.
Build a matrix that connects every RFP requirement with available evidence, gaps and the items that still need review.
Turn a long RFP into verifiable requirements, deadlines, criteria and evidence so your team knows what to review before preparing a response.
How to review older conversations for quotes, meetings and unanswered questions without turning the inbox into an opaque lead database.
A practical method for finding conversations that need action, prioritizing follow-ups and drafting next steps without losing sales context.
Use supplier identity, invoice number, date and total to find duplicate candidates while keeping the final decision reviewable.
A practical process for extracting, normalizing, validating and reviewing invoice batches before they reach a spreadsheet.
A reliable workflow for turning invoice PDFs or images into structured data, separating uncertain records and producing a clean export.
A practical approach to scoring B2B accounts without hiding uncertainty behind precise-looking numbers.