Integrating AI and IoT with Salesforce: A Framework for Digital Transformation in the Manufacturing Industry

Integrating AI and IoT with Salesforce: A Framework for Digital Transformation in the Manufacturing Industry

Authors

  • Ravi Teja Potla Principal Architect, Slalom consulting, Houston, USA

DOI:

https://doi.org/10.55662/JST.2023.4103

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Keywords:

AI, IoT, Salesforce, Digital Transformation, Manufacturing, Operational Efficiency, CRM

Abstract

In the rapidly evolving manufacturing industry, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) with Customer Relationship Management (CRM) platforms like Salesforce has become essential for driving digital transformation. This paper presents a comprehensive framework for leveraging AI and IoT technologies within Salesforce to enhance operational efficiency, optimize production processes, and improve product quality. By analyzing real-time data collected from IoT devices and applying AI-driven analytics within Salesforce, manufacturers can gain actionable insights, reduce downtime, and streamline their operations. A case study of a leading manufacturing company demonstrates the practical application of this framework, highlighting significant improvements in production efficiency and product quality. The paper also explores the broader implications of this integration for various industries, offering a scalable and adaptable model for digital transformation.

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References

Salesforce. (2023). "Salesforce IoT: Connecting Devices to Customer Data." Retrieved from https://www.salesforce.com/products/iot/overview/.

McKinsey & Company. (2021). "The Future of Manufacturing: AI and IoT Integration." McKinsey Global Institute. Retrieved from https://www.mckinsey.com.

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Porter, M. E., & Heppelmann, J. E. (2015). "How Smart, Connected Products Are Transforming Companies." Harvard Business Review, 93(10), 96-114. Retrieved from https://hbr.org.

Accenture. (2020). "Driving Digital Transformation in Manufacturing." Accenture Insights. Retrieved from https://www.accenture.com/us-en/insights/industry-x/digital-transformation-manufacturing.

Siemens. (2021). "IoT and AI in Manufacturing: A New Era of Innovation." Siemens Industry Journal. Retrieved from https://new.siemens.com/global/en/products/services/digital-industries.html.

PwC. (2021). "Industry 4.0: Building the Digital Enterprise." PwC Global Report. Retrieved from https://www.pwc.com/gx/en/industries/industry-4.0.html.

Chui, M., & Manyika, J. (2017). "A Future That Works: Automation, Employment, and Productivity." McKinsey Global Institute. Retrieved from https://www.mckinsey.com/featured-insights/future-of-work/a-future-that-works-automation-employment-and-productivity.

World Economic Forum. (2020). "The Impact of 4IR Technologies on Industry." WEF White Paper. Retrieved from https://www.weforum.org/reports/the-impact-of-4ir-technologies-on-industry.

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Published

03-02-2023
Citation Metrics
DOI: 10.55662/JST.2023.4103
Published: 03-02-2023

How to Cite

Potla, R. T. “Integrating AI and IoT With Salesforce: A Framework for Digital Transformation in the Manufacturing Industry”. Journal of Science & Technology, vol. 4, no. 1, Feb. 2023, pp. 125-3, doi:10.55662/JST.2023.4103.
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