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Case study · Data pipeline

Automating PDF Retrieval and Data Extraction into a CRM for Lead Generation

Automated three steps for a US bond-market information business: retrieving PDF documents, extracting the data, and loading it into the CRM for lead generation.

All three phases delivered
Client
US bond-market network
Industry
Financial information
Timeline
Dec 2025 to Apr 2026
Engagement
Fixed price
How it works

The system, step by step

In this case study, we cover a document pipeline for a bond-market information business. Source PDFs were being found and read by hand, and the useful details needed to reach the sales team inside their CRM.

  • PDF retrieval

    Right documents found

  • Data extraction

    Structured fields

  • Field mapping

    Correct CRM modules

  • Zoho CRM

    Leads, ready to work

The challenge

What the brief demanded

The project had three linked parts, and each had to work for the next to be useful:

The client

The client was a US network that follows institutional bond issues and uses a Zoho CRM to manage leads. Their value depended on getting the right details about each issue into the CRM quickly.

  • Finding and retrieving the right PDF documents automatically.
  • Extracting structured data from them reliably.
  • Mapping that data into the correct CRM modules and fields, and keeping records tidy.
  • Making the process simple enough to run on a schedule without manual steps.
What we built

Built and handed over

We built the pipeline in three phases and handed it over with the settings the client needed to run it.

  • PDF retrieval.
  • Data extraction from the documents.
  • CRM integration into Zoho.

The project ran as a fixed-price engagement from December 2025 with the three phases paid, and closed in April 2026.

  • Python
  • PDF data extraction
  • Zoho CRM

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