The Rise of E-Commerce: Manus AI Powered Product Generation Before Sales Execution

Authors

  • Dita Helmalia Suri Universitas Logistik dan Bisnis Internasional
  • Nava Gia Ginasta Universitas Logistik dan Bisnis Internasional
  • Rahma Hanum Universitas Logistik dan Bisnis Internasional

DOI:

https://doi.org/10.35870/ijmsit.v6i2.7316

Keywords:

Manus AI, Generative AI, Fashion Product Visualization, E-Commerce, Industry 5.0

Abstract

Manus AI, an autonomous AI agent introduced in 2025, enables fashion businesses to generate product visualizations before physical production, supporting the sell-it-before-you-make-it approach. This study evaluates the implementation of Manus AI in pre-production fashion product development for e-commerce. A quantitative descriptive-explanatory approach was employed using two datasets: a survey of 70 fashion MSME owners to assess AI awareness and an evaluation of Manus AI-generated visualizations by 88 respondents using a five-point Likert scale. The results show that 58.6% of MSME owners had no prior knowledge of AI, indicating limited AI readiness. However, the visualizations generated by Manus AI were positively evaluated, with all indicators rated Good to Very Good (mean = 3.80–4.30). Respondents perceived that Manus AI produced realistic and market-oriented visualizations that support product validation before production while reducing prototype costs, development time, and material waste. These findings demonstrate that Manus AI can support more efficient and sustainable product development while emphasizing the importance of improving AI literacy among fashion MSMEs.

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Author Biographies

  • Dita Helmalia Suri, Universitas Logistik dan Bisnis Internasional

    Digital Bussines Study Program, Faculty of Business and Management School, Universitas Logistik dan Bisnis Internasional, Bandung City, West Java Province, Indonesia

  • Nava Gia Ginasta, Universitas Logistik dan Bisnis Internasional

    Digital Bussines Study Program, Faculty of Business and Management School, Universitas Logistik dan Bisnis Internasional, Bandung City, West Java Province, Indonesia

  • Rahma Hanum, Universitas Logistik dan Bisnis Internasional

    Digital Bussines Study Program, Faculty of Business and Management School, Universitas Logistik dan Bisnis Internasional, Bandung City, West Java Province, Indonesia

References

Arrijal Rachman. (2025, December 10). Terungkap Deretan Biang Kerok Jatuhnya Industri Tekstil dan Pakaian RI. https://www.cnbcindonesia.com/news/20251210134630-4-692893/terungkap-deretan-biang-kerok-jatuhnya-industri-tekstil-dan-pakaian-ri

Baig, M. I., & Yadegaridehkordi, E. (2026). Generative AI in E-commerce: a literature review of current applications, gaps and future directions. Asia-Pacific Journal of Business Administration, 1–29. https://doi.org/10.1108/APJBA-08-2025-0575

Bank Indonesia. (2025, March 23). Transaksi Ecommerce Indonesia 2019-2024.

Binus University. (2025). Risiko dan Ancaman Teknologi Ai pada Kehidupan Masyarakat. Binus. https://sis.binus.ac.id/2025/07/08/risiko-dan-ancaman-teknologi-ai-pada-kehidupan-masyarakat/

Christian Anggrianto, Rendy Iswanto, Evan Raditya Pratomo, & Marina Wardaya. (2024). AI & Desain: Ancaman atau Peluang? Penerbit UNIVERSITAS CIPUTRA.

Eloy, G., Program, A., & Kewirausahaan, S. (2024). AI dalam fashion: Mendeteksi dan menganalisis gaya busana dengan camera analysis untuk personalisasi produk.

Febian Arafi. (2025, April 4). 35 Data Statistik E-commerce Indonesia yang Penting. Semnesia. https://semnesia.com/blog/data-statistik-ecommerce-indonesia/

Indawati, N., Sari, Y. I., Meviana, I., & Muslim, L. T. A. (2025). Digitalisasi UMKM Sambal Bawang: Strategi Peningkatan Kualitas Produk. Jurnal Pengabdian Masyarakat Bhinneka, 4(1), 282–289. https://doi.org/10.58266/jpmb.v4i1.435

Laksana, S. A.-F., Putra, F. I., & Ginasta, N. G. (2024). Designing a Web-Based Influencer Marketing System to Increase Brand Influence and Authority. Journal of Digital Business and Innovation Management, 3(1), 77–93. https://doi.org/10.26740/jdbim.v3i1.60448

Lin, J., Peng Du, & Jiaqi Liu. (2025). Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. https://doi.org/10.48550/arXiv.2503.22182

Mubarok, M. N., & Wiyadi, W. (2024). Pengaruh Motivasi, Gaya Hidup dan Persepsi Konsumen Terhadap Keputusan Pembelian Produk Fashion Melalui Social Media. JURNAL ILMIAH EDUNOMIKA, 8(1). https://doi.org/10.29040/jie.v8i1.11482

Nurjaman, K. (2022). Pemberdayaan e-commerce di kalangan pelaku UMKM di Indonesia. Jurnal Abdimas Peradaban, 3(1), 34-40. https://doi.org/10.54783/hs90md23

Oldemeyer, L., Jede, A., & Teuteberg, F. (2025). Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges. Management Review Quarterly, 75(2), 1185–1227. https://doi.org/10.1007/s11301-024-00405-4

Permata Ayunda, K.., Achmad, E.., & Emilia, E. (2023). Analisis pengaruh penggunaan e-commerce, media sosial dan sosial media marketing terhadap pendapatan usaha mikro kecil menengah (UMKM) fashion di Kota Jambi. E-Journal Perdagangan Industri Dan Moneter, 11(3), 28–41. https://doi.org/10.22437/pim.v11i3.29655

Purnawirawan, O. (2025). Sistem Kerja Artificial Intelligence Software Aplikasi Clo 3D Pada Proses Pembuatan Produk Fashion Design. Jurnal Teknologi Informasi dan Ilmu Komputer, 12(4), 819-828. https://doi.org/10.25126/jtiik.124

Rania. (2023, October 2). Revolusi Industri 5.0: Perkembangan, Dampak & Peluang Bisnis. Sasanadigital. https://sasanadigital.com/era-revolusi-industri-5-0-di-indonesia/

Shen, M., Li, Y., Chen, L., & Yang, Q. (2025). From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent. http://arxiv.org/abs/2505.02024

Shop, D. T., Generasi, P., Di, Z., & Sumbawa, K. (2026). Pengaruh Viral Marketing, Persepsi Harga, Dan Kualitas Produk, Terhadap Keputusan Pembelian, Produk Fashion. https://doi.org/10.63822/f9j14c28

Sinaga, N. H., Irmayani, D., & Hasibuan, M. N. S. (2024). Mengoptimalkan Keamanan Jaringan Memanfaatkan Kecerdasan Buatan Untuk Meningkatkan Deteksi Dan Respon Ancaman. Jurnal Ilmu Komputer Dan Sistem Informasi (JIKOMSI), 7(2), 364–369. Retrieved from https://ejournal.sisfokomtek.org/index.php/jikom/article/view/3582

Sudirjo, F., Purwati, T., Widyastuti, W., Budiman, Y. U., & Manuhutu, M. (2023). Analisis dampak strategi pemasaran digital dalam meningkatkan loyalitas pelanggan: Perspektif industri e-commerce. Jurnal Pendidikan Tambusai, 7(2), 7524-7532.

Suib, M. S., & Habsari, V. Y. (2024). Persepsi Customer Terhadap Platform E-Commerce Shopee. Jurnal Ekonomi Dan Pendidikan, 19(2), 183–192. https://doi.org/10.21831/jep.v19i2.48023

WeAreSocial. (2024, January 31). digital 2024 Panduan terlengkap Anda menuju dunia digital yang terus berkembang. Https://Wearesocial.Com/Id/Blog/2024/01/Digital-2024/.

YouGov. (2025, September 17). Konsumen Indonesia #2 Dunia untuk Belanja Online Tapi Paling Doyan Promo. https://businessasia.co.id/yougov-konsumen-indonesia-2-dunia-untuk-belanja-online-tapi-paling-doyan-promo/

Yulianto, E., & Wulandari, A. (2025). Dampak Perkembangan E-Commerce Terhadap Industri Jasa Transportasi Dan Logistik di Era Digital. Jurnal Pengabdian Indonesia (JPI), 1(2), 352–365. https://doi.org/10.62567/jpi.v1i2.724

Zhang, Y., & Liu, C. (2024). Unlocking the Potential of Artificial Intelligence in Fashion Design and E-Commerce Applications: The Case of Midjourney. Journal of Theoretical and Applied Electronic Commerce Research, 19(1), 654–670. https://doi.org/10.3390/jtaer19010035

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Published

2026-07-03

Issue

Vol. 6 No. 2 (2026): July - December 2026

Section

Articles

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Copyright (c) 2026 Dita Helmalia Suri, Nava Gia Ginasta, Rahma Hanum

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How to Cite

Suri, D. H., Ginasta, N. G., & Hanum, R. (2026). The Rise of E-Commerce: Manus AI Powered Product Generation Before Sales Execution. International Journal of Management Science and Information Technology, 6(2), 1077-1086. https://doi.org/10.35870/ijmsit.v6i2.7316

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