1.Detects new CSV upload
Integrate Box and file ingestion tools to detect new CSV uploads to start job-function enrichment.
Add job function to customer records from uploaded CSV
Automatically detect new CSV file uploads across Box and import pipelines. Create and update when csv files upload, job titles import, or identifiers match—so you can normalize job functions, enrich customer records, and improve segmentation without manual data cleanup.
How this automation accelerates job-function segmentation
When new enrichment CSVs arrive without standardized job functions, campaign targeting gets stuck and records become inconsistent. This automation parses job titles, predicts the best job function, and posts normalized values to your central system—so your team can segment faster.
Boxor swap with your favorite app
2.Imports CSV line items
Integrate Formatter by Zapier and CSV parsing tools to import the file into line items and map fields for parsing.
Formatter by Zapieror swap with your favorite app
3.Iterates through line items
Integrate Looping by Zapier and row processing tools to iterate each CSV row to process identifiers and job titles.
Looping by Zapieror swap with your favorite app
4.Adds a short processing pause
Integrate Delay by Zapier and pacing tools to add a brief pause to pace downstream requests and avoid rate limits.
Delay by Zapieror swap with your favorite app
5.Extracts best job function
Integrate OpenAI and text enrichment tools to send a prompt, parse the single-choice response, and normalize job-function output.
ChatGPT (OpenAI)or swap with your favorite app
6.Posts job function to CRM
Integrate Webhooks by Zapier and customer data systems to post a JSON payload and update the job function field by identifier.
Webhooks by Zapieror swap with your favorite app
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