AI-powered sales quote generation: The Intersection of NLP, CRM, and Revenue Optimization

Panguluri, Vani (2025) AI-powered sales quote generation: The Intersection of NLP, CRM, and Revenue Optimization. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 248-258. ISSN 2582-8266

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Abstract

This article examines the transformative impact of Natural Language Processing (NLP) in automating and enhancing sales quote generation processes. The article shows the operational efficiencies, strategic advantages, and customer experience improvements resulting from implementing AI-driven quote generation systems. Through an article analysis of implementation case studies across diverse industries, the research quantifies performance improvements in quote generation time, error reduction, sales cycle duration, and conversion rates. The findings reveal significant implications for sales organization structures, talent development strategies, and performance management frameworks. The article further identifies critical research opportunities in contextual understanding capabilities, multimodal integration, implementation methodologies, and strategic differentiation. This article provides a foundation for organizations seeking to leverage NLP technologies to achieve sustainable competitive advantage in increasingly digital sales environments while offering a roadmap for future technical and organizational research priorities.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.3.0849
Uncontrolled Keywords: Natural Language Processing; Quote Generation; Sales Automation; Customer Relationship Management; Artificial Intelligence
Depositing User: Editor Engineering Section
Date Deposited: 16 Aug 2025 12:49
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4411