OPTIMIZATION INVENTORY MANAGEMENT AT SHOPEE INDONESIA: KEY TO IMPROVING EFFICIENCY AND CUSTOMER SATISFACTION
DOI:
https://doi.org/10.62281/v2i9.750Keywords:
Inventory Management, e-commerce, Operational Efficiency, Customer Satisfaction, System AutomationAbstract
Inventory management system is a crucial component in e-commerce, including on the Shopee Indonesia platform. This study aims to evaluate the effectiveness of the current system and identify existing and proposed practices to improve Shopee's operational efficiency. The results of the analysis show that the inventory management system in Shopee Indonesia has been designed to support the smooth flow of goods. However, based on interviews with several warehouse managers and users, there are several challenges in realizing the expected practices, such as less than optimal product tracking and data handling that requires regular updates. Shopee uses sophisticated technology to manage inventory, but there are opportunities to improve data accuracy and responsiveness to changes in market demand. Among the existing practices, the use of algorithms for demand prediction shows positive results, but the implementation of these practices still requires adjustments. This study proposes several strategic steps, including improving serious system integration between inventory management and sales systems, as well as continuous training for employees. In addition, improving the real-time monitoring system will support better and faster decision making in terms of procurement and delivery of goods. Overall, although the inventory management system in Shopee Indonesia has shown effectiveness in many aspects, this study emphasizes the need for innovation and implementation of best practices to overcome existing weaknesses. Thus, it is expected that there will be a significant increase in operational efficiency, which will have a positive impact on user experience and customer satisfaction.
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References
Chandra, C., Shukla, R. K., & Vrat, P. (2020). Inventory management: Demand forecasting and safety stock strategies. *Journal of Supply Chain Management*, *35*(2), 15-27.
Dhanaraj, C., & Park, S. H. (2019). The implications of blockchain technology for supply chain sustainability. *Sustainable Development*, 27(5), 753-759.
Fadhilah, M. U., & Susyanti, J. (2024). Analisis Sistem S-Commerce Sebagai Bussiness Process Management Pada Tiktok Shop (Studi UMKM di Indonesia Dengan Pendekatan SOAR). MERDEKA: Jurnal Ilmiah Multidisiplin, 1(6), 228-248.
Jones, M. (2021). The impact of automation on inventory management. *Journal of Business Logistics*, 42(1), 35-50.
Juhudiman, A., & Rahmawati, I. (2022). Peran IoT dalam sistem logistik e-commerce. Jurnal Teknik Informatika, 10(1), 50-61.
Kotler, P., Keller, K. L., Brady, M., Goodman, M., & Hansen, T. (2016). Marketing Management 3rd edn PDF eBook. Pearson Higher Ed.
Kusuma, I. (2021). Peran Teknologi dalam Meningkatkan Manajemen Inventaris. Jurnal Teknologi dan Bisnis, 8(1), 30-44.
Laosirihongthong, T., & Grawitch, M. J. (2017). Developing Effective Supply Chains: A Framework for Managing Supply Chain Performance. International Journal of Business and Management, 12(9), 1-14..
Lee, J. (2019). Inventory management strategies for the modern business. *Business Horizons*, 62(3), 345-354.
Lestari, N., & Adnan, M. (2020). Pelatihan manajemen inventaris untuk penjual di platform e-commerce. Jurnal Ekonomi Digital, 8(2), 90-100.
Mardiana, L. (2021). Evaluasi Sistem Manajemen Inventaris pada E-commerce. Jurnal Ekonomi, 14(3), 95-108.
Martinez, R. (2022). Integrating technology in inventory management systems. *Operations Management Review*, 27(4), 275-290.
Pratama, R. (2020). Dampak Kelebihan dan Kekurangan Stok pada Perusahaan E-commerce. Jurnal Bisnis dan Manajemen, 12(1), 75-80.
Rafiq, M., & Junaidi, S. (2021). Impact of inventory management on e-commerce success. Journal of Supply Chain Management, 15(2), 70-84.
Rizky, A. (2021). Hubungan Pemasok dan E-commerce dalam Manajemen Inventaris. Jurnal Riset Pemasaran, 11(2), 100-112.
Santoso, E., & Wilujeng, P. (2023). Peningkatan pengalaman pelanggan melalui otomatisasi pelayanan. Jurnal Layanan Pelanggan, 5(4), 142-150..
Smith, A. (2020). Automation in inventory management: A review of advancements and applications. *Technology and Management Journal*, 18(2), 112-124.
Weng, Y., Chi, S., & Chen, C. (2020). Demand forecasting in the blockchain environment: A machine learning approach. *International Journal of Production Economics*, 219, 356-369
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Copyright (c) 2024 Rizki Agung Ramadani, Berliyana Kesuma Hati, Zefri Setiawan (Author)
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