Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Automation of real estate deal closing using salesforce AI

Breadcrumb

  • Home
  • Automation of real estate deal closing using salesforce AI

Raveendra Reddy Pasala *

Bus Sys Analyst  Sr Staff, Move.Inc, Westlake Village, California, USA.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 17(01), 1363-1379
Article DOI: 10.30574/wjarr.2023.17.1.1440
DOI url: https://doi.org/10.30574/wjarr.2023.17.1.1440
 
Received on 17 November 2022; revised on 20 January 2023; accepted on 24 January 2023
 
The real estate industry transforms through automation as a solution to solve the complex operations it faces. Real estate deals experience their most important transformation during this crucial resource-intensive time-consuming phase known as the deal-closing stage. The document classification necessitates accurate data extraction and strict compliance checks throughout deal-closing procedures that currently require enormous manual intervention with rising probability of human errors and inefficiencies. The integration of Salesforce AI with Doc AI serves as a solution to develop innovative deal-closing operations through automated document processing and precise data management and workflow scalability. The research details how manual processing continues to cause problems by producing delayed results while data errors occur frequently together with compliance risks. The paper demonstrates how AI creates operational efficiencies while decreasing human involvement to achieve scalable operations. The main study results show that automated systems yield superior outcomes because they decrease errors during processing and provide dependable data-based decisions while boosting operational efficiency and obtaining better customer satisfaction. This research expands understandings about AI adoption in real estate through systematic analysis describing practical applications that improve complex process management in the industry.
 
Real Estate Automation; Salesforce AI; Doc AI; Deal Closing Efficiency; Document Processing; AI-Powered Workflows; Data Extraction; Regulatory Compliance; Scalability in Real Estate; Customer Satisfaction
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-1440.pdf

Preview Article PDF

Raveendra Reddy Pasala. Automation of real estate deal closing using salesforce AI. World Journal of Advanced Research and Reviews, 2023, 17(1), 1363-1379. Article DOI: https://doi.org/10.30574/wjarr.2023.17.1.1440

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution