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Prithiv S

Prithiv is a product marketer @ Nanonets who writes about real world business challenges in manual data extraction or data entry workflows and how Nanonets can help automate such workflows.

55 Posts

Bangalore, India
By Prithiv S
Accounts Payable
Paperless accounts payable: An implementation guide

Paperless Accounts Payable: How to Modernize Your AP

Learn how to transition to a paperless accounts payable system. Say goodbye to manual data entry and embrace efficiency with AP automation.

By Prithiv S
Integrations
sales ordering processing woes in ERPs

How to automate sales order processing in SAP

By Lakshmi Gopal
Accounts Payable
The accounts payable process

A complete Guide to Accounts Payable Process in 2024

Businesses search for efficient accounts payable processes to overcome challenges like manual data entry errors, delayed payments, and inefficient workflows. Streamline your AP processes with automation, accurate reporting, and seamless integration. Take action now!

By Prithiv S
Workflow Automation
Email to Lead in Salesforce

Email to Lead Workflow in Salesforce: Complete Automation Guide

By Prithiv S
Integrations
Import Contacts & Contact Details into Salesforce

How to Import Contacts into Salesforce?

By Prithiv S
Data Extraction
W-2 form data extraction: The complete automation guide Post feature image

W-2 form data extraction: The complete automation guide

By Prithiv S
Data Extraction
PDF to Google doc

How to Convert PDF to Google Doc?

By Prithiv S
Data Extraction
Nanonets extracting tabular data from a PDF document

How to extract tables from PDFs?

By Prithiv S
Featured post
Data Extraction
extract-data-from-pdf-nanonets

How to Extract Data from PDFs Using Different Methods?

By Prithiv S
Data Extraction
Nanonets renaming a PDF files based on its content

How to Rename PDF Files Based on Content

By Prithiv S
Workflow Automation

Automated Loan Underwriting: A Lender's Guide to Cutting Decision Times

By Prithiv S
Workflow Automation

From Manual Reviews to Real-Time Credit Intelligence: Automating Credit Decisioning