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All Journal Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jesocin : Journal of Jabar Economic Society Networking Forum Jesocin : Journal of Economics, Accounting, Business, Management, Engineering and Society
Lili Adi Wibowo
Universitas Pendidikan Indonesia Bandung
Religion Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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UTILIZATION OF ARTIFICIAL INTELLIGENCE SYSTEMS TO PREDICT CONSUMER BEHAVIOR zaenal aripin; Lili Adi Wibowo; Maya Ariyanti
Journal of Jabar Economic Society Networking Forum Vol. 1 No. 1 (2023): Jesocin - December
Publisher : Organisasi Kreatif Indonesia Emas

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Abstract

The development of Artificial Intelligence (AI) System technology has opened up new opportunities in understanding consumer behavior. With abundant data availability, companies have the potential to improve marketing and customer service strategies through predicting consumer behavior. This study aims to explore the implications of utilizing Artificial Intelligence Systems in predicting consumer behavior and its impact on business strategies. The purpose of this study is to identify the benefits of utilizing Artificial Intelligence Systems in predicting consumer behavior, analyze challenges that may arise, and detail strategies that companies can adopt to optimize the utilization of this technology. The research method used is a combination of literature analysis and case studies. Literature analysis was conducted to detail the theoretical basis regarding the utilization of Artificial Intelligence Systems in the prediction of consumer behavior. Case studies were conducted on a number of companies that have successfully implemented this technology to understand the context of their implementation and the benefits they derived. The results showed that the utilization of Artificial Intelligence Systems in predicting consumer behavior can improve service personalization, optimize marketing strategies, and provide deep insights into consumer preferences. However, challenges related to data privacy, ethics, and technology integration are still obstacles that need to be overcome. Strategies that focus  on data security, transparency, and an ethical approach can help companies address these challenges.
UTILIZATION OF ARTIFICIAL INTELLIGENCE SYSTEMS TO PREDICT CONSUMER BEHAVIOR zaenal aripin; Lili Adi Wibowo; Maya Ariyanti
Journal of Jabar Economic Society Networking Forum Vol. 1 No. 1 (2023): Jesocin - December
Publisher : Organisasi Kreatif Indonesia Emas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Artificial Intelligence (AI) System technology has opened up new opportunities in understanding consumer behavior. With abundant data availability, companies have the potential to improve marketing and customer service strategies through predicting consumer behavior. This study aims to explore the implications of utilizing Artificial Intelligence Systems in predicting consumer behavior and its impact on business strategies. The purpose of this study is to identify the benefits of utilizing Artificial Intelligence Systems in predicting consumer behavior, analyze challenges that may arise, and detail strategies that companies can adopt to optimize the utilization of this technology. The research method used is a combination of literature analysis and case studies. Literature analysis was conducted to detail the theoretical basis regarding the utilization of Artificial Intelligence Systems in the prediction of consumer behavior. Case studies were conducted on a number of companies that have successfully implemented this technology to understand the context of their implementation and the benefits they derived. The results showed that the utilization of Artificial Intelligence Systems in predicting consumer behavior can improve service personalization, optimize marketing strategies, and provide deep insights into consumer preferences. However, challenges related to data privacy, ethics, and technology integration are still obstacles that need to be overcome. Strategies that focus  on data security, transparency, and an ethical approach can help companies address these challenges.
Analisa Strategi Pemasaran Online Terhadap Kinerja Keuangan Umkm Fashion di Kota Bandung : ( Masa Covid-19 Januari s/d Maret 2020) Gunardi; Agus Rahayu; Lili Adi Wibowo
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 3 No. 1 (2020): Fair Value : Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.886 KB) | DOI: 10.32670/fairvalue.v3i1.134

Abstract

Creative industries, especially SMEs (Micro,Small and Medium Enterprises) in the city of Bandung duringthe Covid-19 pandemic experienced a sharp decline in sales, this Fashion MSMEs need an OnlineMarketing Strategy to maintain sales and support the government movement PSBB (Large SocialRestriction), so this will have a positive impact in improving the SMEs Financial Performance. This studyuses a Qualitative Descriptive approach by interviewing and collecting data from SMEs Fashion inBandung City, taking research data during the economic situation of Bandung, in particular, being weakand generally the world because of the Pandemic Covid-19. The results showed that the marketingstrategies carried out by Fashion MSMEs in Bandung were carried out by means of online marketing, thishad a positive impact in boosting the financial performance of Fashion SMEs in Bandung.
Co-Authors Agus Rahayu Gunardi Maya Ariyanti Zaenal Aripin