Integrating AI and IoT with Salesforce: A Framework for Digital Transformation in the Manufacturing Industry
DOI:
https://doi.org/10.55662/JST.2023.4103Downloads
Keywords:
AI, IoT, Salesforce, Digital Transformation, Manufacturing, Operational Efficiency, CRMAbstract
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.
Doe, J., & Smith, R. (2022). "Predictive Maintenance in Manufacturing: Leveraging AI and IoT for Operational Excellence." Journal of Manufacturing Technology, 48(2), 124-135.
Gartner. (2022). "Top Strategic Technology Trends for 2023." Gartner Research. Retrieved from https://www.gartner.com/en/research.
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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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.