Impact of COVID on Logistics & Industry 4.0
Impact of COVID on Logistics & Industry 4.0
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The objective of this case study is to analyze the impact of COVID-19 on the logistics industry and propose innovative solutions to enhance supply chain resilience. By leveraging technologies such as Digital Supply Chain Twins, Blockchain integrated with IoT and AI, and advanced visualization techniques, the aim is to improve transparency, mitigate disruptions, and optimize logistics operations. Additionally, customer engagement can be enhanced through gamified tracking, voice assistance, and regional language support, ensuring a more user-friendly and efficient experience in managing inventory and transportation processes.
The objective of this case study is to analyze the impact of COVID-19 on the logistics industry and propose innovative solutions to enhance supply chain resilience. By leveraging technologies such as Digital Supply Chain Twins, Blockchain integrated with IoT and AI, and advanced visualization techniques, the aim is to improve transparency, mitigate disruptions, and optimize logistics operations. Additionally, customer engagement can be enhanced through gamified tracking, voice assistance, and regional language support, ensuring a more user-friendly and efficient experience in managing inventory and transportation processes.
FEDEX_Rohit_Dadheech.pptxOpMeter:One Point Solution
OpMeter:One Point Solution
The objective of this case study is to address challenges in healthcare for low-income groups by proposing OpMeter, a one-point SaaS-based mobile solution. Leveraging technologies like AI, ML, and Blockchain, the solution offers features like sentiment analysis, forecasting, and risk prediction to enhance healthcare accessibility and equity. Patients can manage health records, consult nearby healthcare services, and access digital reports, while doctors can update profiles and manage Electronic Health Records (EHRs). Partnerships with institutions in problem areas aim to improve reach and address social determinants of health (SDoH). Estimated app adoption by 2024 suggests significant revenue growth, driven by a customer base expansion and increased app subscription rates.
The objective of this case study is to address challenges in healthcare for low-income groups by proposing OpMeter, a one-point SaaS-based mobile solution. Leveraging technologies like AI, ML, and Blockchain, the solution offers features like sentiment analysis, forecasting, and risk prediction to enhance healthcare accessibility and equity. Patients can manage health records, consult nearby healthcare services, and access digital reports, while doctors can update profiles and manage Electronic Health Records (EHRs). Partnerships with institutions in problem areas aim to improve reach and address social determinants of health (SDoH). Estimated app adoption by 2024 suggests significant revenue growth, driven by a customer base expansion and increased app subscription rates.
Turtles_IIMSirmaur_Optum.pptxShramik : Job Portal for Rural Gig Workers
Shramik : Job Portal for Rural Gig Workers
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