23 August 2024
In this fast-paced era of ever-improving technology, keeping up-to-date with modern advancements can be a difficult task. Businesses are trying to decipher where AI fits into their manufacturing processes. In the process, the challenges are twofold – maintaining rigorous quality standards and managing complicated production chains while inspecting real-time output. And the executives are thinking, about whether they can address these challenges with both applications of AI and cloud-based tools.
In this context of AI and Machine Learning integration, a senior software architect Praveen K. Haridasan, has been involved in the development of a no-code integration solution that bridges the challenge of synchronising traditional manufacturing systems with modern cloud platforms. This approach has eliminated the need for complex coding, and democratising technology while maintaining robust system synchronization, resulting in a 40% reduction in integration time and a 30% decrease in maintenance costs.
In collaboration with leading manufacturing software providers, he designed and implemented a modern UI framework that facilitated seamless migration from classic to lightning-based interfaces in the CRM platform. This transformation not only modernized the user experience but also enabled enhanced AI-powered features, resulting in a 25% improvement in user productivity.
With a background in architecting, the expert’s proficiency lies in the field of cloud-based solutions for manufacturing. Two notable inventions were an inventory alignment program alongside a platform that linked customer agreements. He introduced in ManufacturingTech a no-code tool which partnered with CRM Manufacturing Cloud, utilizing the Omnistudio from CRM’s suite. As a result, the ManufacturingTech Customer Agreement and the CRM Cloud Sales Agreement are now completely aligned. This idea has reduced data inconsistencies by half, enhancing real-time decision-making in the manufacturing process.
Another interesting undertaking of his was in the field of security measures. Introducing advanced two-tier authentication systems, along with optimizing platform cache, resulted in achieving 99.9% system uptime for manufacturing organizations. And all this was achieved while upholding strict security regulations.
He also shares his knowledge via published studies regarding the use of cloud technologies in manufacturing for ISV partners – now considered a foundation for businesses creating additional services to cater to unique business requirements, incorporating them within the CRM system. His insightful paper on Generative AI in the field of manufacturing clarified how it differs from conventional AI by identifying patterns and creating unique solutions beneficial for all steps of the production process. Also, his knowledge sharing via webinars and workshops on Lightning Web Components and recommended strategies for UI transition, assisted manufacturing software makers in making their applications modern while improving customer interaction.
Looking at the current pattern, he predicts that the future of manufacturing can be the use of generative AI in the process of manufacturing, emphasizing its growing importance. He also proposes integrating Generative AI along with the CRM platform’s Gen AI functionalities, ensuring business processes weave together smoothly.
The impact of his work and his team extends beyond individual implementations. Crafting standardized methods helps spread AI integration and cloud transition, that businesses in manufacturing can refer to when changing their systems, securing their operation’s stability and effectiveness.
Their work exemplifies how technical leadership and understanding can bridge the gap between traditional manufacturing processes and new technologies, creating solutions that drive innovation and business value in the manufacturing sector.
The future of manufacturing technology continues to evolve through the contributions of technical leaders like Praveen K Haridasan as the industry will continue to position itself to embrace the next wave of digital transformation, powered by artificial intelligence and cloud computing.