Integrating AI-Augmented CRM and SCADA Systems to Optimize Sales Cycles in the LNG Industry

• Author(s): Paul Uche Didi ; Ololade Shukrah Abass ; Oluwatosin Balogun
• Paper ID: 1710062
• Page: 346-360
• Published Date: 31-01-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 7 January-2020

Abstract

The Liquefied Natural Gas (LNG) industry operates within a complex ecosystem characterized by volatile market dynamics, long sales cycles, and high capital intensity. Traditional siloed approaches to sales, operations, and customer relationship management are increasingly inadequate for meeting modern market demands. This proposes a novel framework for integrating Artificial Intelligence (AI)-augmented Customer Relationship Management (CRM) systems with Supervisory Control and Data Acquisition (SCADA) platforms to optimize sales cycles, enhance customer engagement, and improve operational responsiveness in the LNG sector. CRM systems in the LNG industry are typically used for managing client portfolios, contract negotiations, and forecasting demand, while SCADA systems monitor and control physical infrastructure such as liquefaction plants, storage terminals, and distribution networks. Integrating these two systems with AI algorithms enables real-time data exchange between customer needs and operational capacities, allowing for dynamic sales strategies that are grounded in production realities. AI tools, including machine learning and natural language processing, can analyze historical sales data, customer interactions, and SCADA outputs to provide predictive insights, automate pricing models, and adjust delivery schedules proactively. Case studies and simulations demonstrate that such integration significantly reduces sales cycle durations, improves quote-to-cash timelines, and enhances customer satisfaction through personalized, responsive service. Furthermore, the integration facilitates more accurate demand forecasting, efficient contract management, and real-time decision-making, aligning commercial and technical operations in a unified digital ecosystem. However, challenges such as data silos, cybersecurity risks, and legacy infrastructure incompatibility must be addressed to fully realize the benefits. This contributes to the growing body of knowledge on digital transformation in the energy sector and offers practical guidance for LNG enterprises seeking to leverage AI and integrated systems to achieve greater market agility, efficiency, and resilience in an increasingly competitive global landscape.

Keywords

Integrating, AI-augmented, CRM and SCADA systems, Sales Cycles, Optimization, LNG Industry

Citations

IRE Journals:
Paul Uche Didi , Ololade Shukrah Abass , Oluwatosin Balogun "Integrating AI-Augmented CRM and SCADA Systems to Optimize Sales Cycles in the LNG Industry" Iconic Research And Engineering Journals Volume 3 Issue 7 2020 Page 346-360

IEEE:
Paul Uche Didi , Ololade Shukrah Abass , Oluwatosin Balogun "Integrating AI-Augmented CRM and SCADA Systems to Optimize Sales Cycles in the LNG Industry" Iconic Research And Engineering Journals, 3(7)