Remove Addressing Remove Returns Remove XML
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Automated order processing: Boost efficiency

Nanonets

On average, organizations have achieved $6 in return for every $1 invested in automating their O2C processes. If discrepancies arise, the system flags them for human review or returns them to the customer for confirmation. It also handles returns and exchanges according to the company's policies.

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How to use Google Sheets as a database?

Nanonets

Share the Google Sheet with the service account email address. execute() data = result.get('values', []) return data def write_data(sheet_name, data): body = { 'values': data } result = sheet.values().append(spreadsheetId=SPREADSHEET_ID, execute() return result You can provide the spreadsheet id as a parameter.

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The Complete Guide to Getting Started with the NetSuite API

Nanonets

To address the eventual limitations in the SOAP API, NetSuite released its REST API in 2019, offering a simpler, more scalable way to access data. Here's a sample SuiteScript that updates the email address of a customer record in NetSuite: /** * @NApiVersion 2.x For many years, this was the standard API for NetSuite development.

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What is Resume Parsing? The Complete Guide

Nanonets

xls), JSON, or XML. Addressing these challenges often involves a combination of technological enhancements, regular updates to parsing rules, and ongoing training for recruiters to manually review and validate parsed data. Addressing data security concerns is also key. The output would be Excel (.xls),

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Form Automation - OCR for Forms & Automated Forms Processing

Nanonets

Data extraction : After the text has been extracted, the relevant data needs to be extracted and formatted into a structured format such as XML or CSV. OCR technology can be used to extract specific data fields such as names, addresses, and dates.

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What is Resume Parsing? The Complete Guide

Nanonets

xls), JSON, or XML. Addressing these challenges often involves a combination of technological enhancements, regular updates to parsing rules, and ongoing training for recruiters to manually review and validate parsed data. Addressing data security concerns is also key. The output would be Excel (.xls),

Rules 52
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Top 10 Data Extraction Tools in 2024

Nanonets

Data extraction can refer to scraping information from web pages or emails but includes any other type of text-based file such as spreadsheets (Excel), documents (Word), XML , PDFs, etc. Although the initial cost of the investment is high, the long-term return is assured. What is a data extraction example?