Emerging Trends in Sustainability Practices Within the FMCG Sector for A Better Future

Rishi S; Siranjeevi Raj R

doi:10.32628/IJSRST2411472

Authors

Rishi S Sathyabama Institute of Science and Technology, Sathyabama University, Chennai, Tamil Nadu, India Author
Siranjeevi Raj R Sathyabama Institute of Science and Technology, Sathyabama University, Chennai, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/IJSRST2411472

Keywords:

FMCG Sector, Sustainability, Sustainable Packaging, Circular Economy, Supply Chain Transparency, Consumer Engagement, Innovative Products, Environmental Impact, Eco-Conscious Consumers

Abstract

The Fast-Moving Consumer Goods (FMCG) sector is undergoing a major transformation driven by increasing demands for sustainability. This article explores emerging sustainability trends, such as sustainable packaging, circular economy models, supply chain transparency, consumer engagement, and innovative product development. These practices not only mitigate environmental impact but also enhance business competitiveness and brand loyalty. By highlighting how leading FMCG companies are incorporating these trends, the article aims to inspire broader adoption of sustainable strategies that benefit both businesses and the environment.

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References

B. Nemade, J. Nair, and B. Nemade, "Efficient GDP Growth Forecasting for India through a Novel Modified LSTM Approach," Communications on Applied Nonlinear Analysis, vol. 31, no. 2s, pp. 339-357, 2024. DOI: https://doi.org/10.52783/cana.v31.653

B. Marakarkandy, B. Nemade, S. Kelkar, P. V. Chandrika, V. A. Shirsath, and M. Mali, "Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm," Journal of Electrical Systems, vol. 20, no. 2s, pp. 700–708, 2024. DOI: https://doi.org/10.52783/jes.1536

B. Nemade, N. Phadnis, A. Desai, and K. K. Mungekar, "Enhancing connectivity and intelligence through embedded Internet of Things devices," ICTACT Journal on Microelectronics, vol. 9, no. 4, pp. 1670-1674, Jan. 2024, doi: 10.21917/ijme.2024.0289.

B. C. Surve, B. Nemade, and V. Kaul, "Nano-electronic devices with machine learning capabilities," ICTACT Journal on Microelectronics, vol. 9, no. 3, pp. 1601-1606, Oct. 2023, doi: 10.21917/ijme.2023.0277.

G. Khandelwal, B. Nemade, N. Badhe, D. Mali, K. Gaikwad, and N. Ansari, "Designing and Developing novel methods for Enhancing the Accuracy of Water Quality Prediction for Aquaponic Farming," Advances in Nonlinear Variational Inequalities, vol. 27, no. 3, pp. 302-316, Aug. 2024, ISSN: 1092-910X.

B. Nemade, S. S. Alegavi, N. B. Badhe, and A. Desai, “Enhancing information security in multimedia streams through logic learning machine assisted moth-flame optimization,” ICTACT Journal of Communication Technology, vol. 14, no. 3, 2023. DOI: https://doi.org/10.21917/ijct.2023.0449

S. S. Alegavi, B. Nemade, V. Bharadi, S. Gupta, V. Singh, and A. Belge, “Revolutionizing Healthcare through Health Monitoring Applications with Wearable Biomedical Devices,” International Journal of Recent Innovations and Trends in Computing and Communication, vol. 11, no. 9s, pp. 752–766, 2023. [Online]. Available: https://doi.org/10.17762/ijritcc.v11i9s.7890. DOI: https://doi.org/10.17762/ijritcc.v11i9s.7890

V. Kulkarni, B. Nemade, S. Patel, K. Patel, and S. Velpula, "A short report on ADHD detection using convolutional neural networks," Frontiers in Psychiatry, vol. 15, p. 1426155, Sept. 2024, doi: 10.3389/fpsyt.2024.1426155. DOI: https://doi.org/10.3389/fpsyt.2024.1426155

B. Nemade and D. Shah, “An IoT-Based Efficient Water Quality Prediction System for Aquaponics Farming,” in Computational Intelligence: Select Proceedings of InCITe 2022, Singapore: Springer Nature Singapore, 2023, pp. 311-323. [Online]. Available: https://doi.org/10.1007/978-981-19-7346-8_27. DOI: https://doi.org/10.1007/978-981-19-7346-8_27

B. Nemade and D. Shah, “IoT-based Water Parameter Testing in Linear Topology,” in 2020 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence), Noida, India, 2020, pp. 546-551, doi: 10.1109/Confluence47617.2020.9058224. DOI: https://doi.org/10.1109/Confluence47617.2020.9058224