Analysis of AI-Based Big Data for Strategic Decision-Making in E-Commerce

Authors

  • Intan Oktaviani Universitas Duta Bangsa Surakarta
  • Eko Purawanto Universitas Duta Bangsa Surakarta
  • Triana Triana Universitas Duta Bangsa Surakarta

DOI:

https://doi.org/10.47701/icohetech.v5i1.4192

Keywords:

Big, Data, AI, E-commerce

Abstract

In the current digital era, e-commerce faces significant challenges in managing and analyzing vast and complex data. Big Data presents tremendous opportunities for gaining valuable insights, but traditional analysis methods often need to be more accurate and relevant information. Artificial Intelligence (AI) emerges as an effective solution to this challenge, with its ability to deeply analyze data and identify patterns and trends that conventional methods may overlook. By leveraging AI, e-commerce companies can make faster and more accurate strategic decisions, such as optimizing marketing, managing inventory, and personalizing customer experiences. Although there are challenges in implementing this technology, such as data integration and security, the benefits of using AI in Big Data analysis are substantial. In conclusion, AI is crucial in supporting data-driven strategic decision-making in the e-commerce sector.

References

A.A. Nimbalkar, & A.T., Berad. (2021). The Increasing Importance of AI Applications in E-Commerce. Vidyabharati International Interdisciplinary Research Journal, 13(1), 388–391.

Ahmed, Hana, Youssef, Hassan, Tamer, Ahmed, & Hossam, Ahmed. (2023). Privacy Issues in AI and Cloud Computing in E-commerce Setting: A Review. International Journal of Responsible Artificial Intelligence, 13(7), 37–46.

Aliyev, Alovsat G., Shahverdiyeva, Roza O., & Hagverdiyeva, Ulker H. (2024). Modernization of E-Commerce and Logistics Platforms of Enterprises Based on Artificial Intelligence Technology. Advances in Transdisciplinary Engineering, 48, 170–181. https://doi.org/10.3233/ATDE231327

Änäkkälä, T. (2021). Exploring value in eCommerce artificial intelligence and recommendation systems. Retrieved from https://jyx.jyu.fi/handle/123456789/75678%0Ahttps://jyx.jyu.fi/bitstream/handle/123456789/75678/URN%3ANBN%3Afi%3Ajyu-202105172951.pdf?sequence=5

Anderson, Julia, & Johnson, Danny. (2024). EasyChair Preprint The Role of Artificial Intelligence in Enhancing E-Commerce Customer Experience The Role of Artificial Intelligence in Enhancing E-commerce Customer Experience.

Chandramana, Sudeep. (2023). AI in Retail Industry: Reshaping Shopping Experience and Business Profitability. Ushus Journal of Business Management, 21(4), 41–50. https://doi.org/10.12725/ujbm/61.3

Enache, Maria Cristina. (2019). Machine Learning in E-commerce. Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics, 25(1), 169–173. https://doi.org/10.35219/eai1584040920

Febriana Sulistya Pratiwi. (2022). No Title ??? ??? ????? ?? ?? ????? ???? ??????. ???? , (8.5.2017), 2003–2005. Retrieved from https://dataindonesia.id/sektor-riil/detail/angka-konsumsi-ikan-ri-naik-jadi-5648-kgkapita-pada-2022

Flavián, Carlos, Guinalíu, Miguel, & Gurrea, Raquel. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information and Management, 43(1), 1–14. https://doi.org/10.1016/j.im.2005.01.002

Guo, Jiesi, Hu, Xiang, Elliot, Andrew J., Marsh, Herbert W., Murayama, Kou, Basarkod, Geetanjali, Parker, Philip D., & Dicke, Theresa. (2022). Mastery-Approach Goals: A Large-Scale Cross-Cultural Analysis of Antecedents and Consequences. Journal of Personality and Social Psychology, 125(2), 397–420. https://doi.org/10.1037/pspp0000436

Issues, Everyday. (2023). Developer Goals for e-Commerce Startups: Applying AI-enhanced Mind Genomics to Thinking about Everyday Issues. Psychology Journal: Research Open, 5(5). https://doi.org/10.31038/psyj.2023553

James, Mousumi Bhattacharjee and Samuel, Christine

Elizabeth. (2019). Status and prerequisite of English proficiency for engineers- An update. 4(3), 145–149.

Kumar, B. .. Praveen, & Sree, Dr. K. Santhi. (2021). Virtualization-Based Digitization of a Retail Store: An Enhanced Implementation of Digital Transformation. International Journal of Innovative Technology and Exploring Engineering, 10(11), 133–136. https://doi.org/10.35940/ijitee.k9488.09101121

Mnyakin, Maxim. (2020). Investigating the Impacts of AR, AI, and Website Optimization on Ecommerce Sales Growth. ResearchBerg Review of Science and Technology, 3(1), 2020.

MYKYTENKO, Nelya, & RZAIEVA, Svitlana. (2024). Application of artificial intelligence in retail. International Scientific-Practical Journal Commodities and Markets, 50(2), 4–20. https://doi.org/10.31617/2.2024(50)01

Nakata, Daisuke, & Smith, Jane. (2024). Transforming E-commerce: How AI Revolutionizes Customer Experience.

Nazim Sha, S., & Rajeswari, M. (2019). Creating a brand value and consumer satisfaction in E-commerce business using artificial intelligence with the help of vosag technology. International Journal of Innovative Technology and Exploring Engineering, 8(8), 1510–1515.

Necula, Sabina Cristiana, & P?v?loaia, Vasile Daniel. (2023). AI-Driven Recommendations: A Systematic Review of the State of the Art in E-Commerce. Applied Sciences (Switzerland), 13(9). https://doi.org/10.3390/app13095531

Oktaviani, Intan, Sumarlinda, Sri, & Widyaningsih, Pipin. (2021). Penerapan Metode PIECES pada Analisis Sistem Informasi Manajemen Apotek. Infokes: Jurnal Ilmiah Rekam Medis Dan …, 11(1), 54–58.

Rahman, Shati Sarmin, & Dekkati, Sreekanth. (2022). Revolutionizing Commerce: The Dynamics and Future of E-Commerce Web Applications. Asian Journal of Applied Science and Engineering, 11(1), 65–73. https://doi.org/10.18034/ajase.v11i1.58

Ruan, Sherry, & Zhao, Tian. (2024). JungleGPT: Designing and Optimizing Compound AI Systems for E-Commerce. Retrieved from https://huggingface.co/croissantllm/

S., Dutta, & R., Sandhane,. (2022). Digital transformation in Retail Industry. Cardiometry, (24), 859–866. https://doi.org/10.18137/cardiometry.2022.24.859866

Sharma, Satish. (2023). Implementing Automation and AI in Small Businesses. AI for Small Business Leveraging Automation to Stay Ahead, 28–56. https://doi.org/10.46679/978819573223403

Xie, Tian. (2023). Artificial intelligence and automatic recognition application in B2C e-commerce platform consumer behavior recognition. Soft Computing, 27(11), 7627–7637. https://doi.org/10.1007/s00500-023-08147-3

Yildiz, Zehra Ozge, & Beloff, Natalia. (2020). The Emerging AI Policy for e-commerce Industry. ACM International Conference Proceeding Series, 66–70. https://doi.org/10.1145/3385209.3385210

Zhang, Dan, Pee, L. G., & Cui, Lili. (2021). Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse. International Journal of Information Management, 57(December 2020), 102304. https://doi.org/10.1016/j.ijinfomgt.2020.102304

Downloads

Published

2024-09-24