Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal International Journal of Supply Chain Management
Natesh Kumar, Nitin
Unknown Affiliation
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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The Supply Chain Maze: The Struggles of Small and Medium Enterprises and Ways to Navigate the Challenges Natesh Kumar, Nitin
International Journal of Supply Chain Management Vol 14, No 2 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i2.6304

Abstract

Small and Medium Enterprises (SMEs) face significant challenges in managing supply chains due to fragmented communication, limited resources, and outdated technologies. Without a centralized platform, inefficiencies arise, leading to missed deadlines, inaccurate inventory levels, and supply- demand mismatches. This article explores these challenges and presents strategies to enhance SME resilience and profitability. By adopting modern SCM technologies such as cloud-based systems, real-time tracking, and predictive analytics, SMEs can improve operational efficiency and decision-making. Diversifying supplier relationships and leveraging trade finance solutions can help mitigate risks and ensure financial stability. Additionally, outsourcing logistics and customer service can reduce operational burdens while sustainability initiatives offer long-term cost savings and market competitiveness. Implementing these strategies will not only strengthen SME supply chains but also support policymakers in formulating practical measures to enhance business resilience in an increasingly complex global economy.
The Final Frontier of Logistics: Artificial Intelligence in the Last Mile Delivery Natesh Kumar, Nitin
International Journal of Supply Chain Management Vol 14, No 3 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i3.6307

Abstract

Last-mile delivery (LMD), the most critical segment of the modern supply chain (SC), plays a vital role in shaping customer satisfaction but also accounts for the highest cost among all supply chain activities. Particularly in the context of e-commerce, it serves as a key differentiator while grappling with challenges such as rising customer expectations, urban traffic congestion, adverse weather, and sustainability concerns. This article explores how Artificial Intelligence (AI) and its subset, Machine Learning (ML), can be leveraged to optimize last-mile delivery. With the growing wave of digital transformation across the globe, this area is gaining increased attention. The article adds to the relatively limited body of research on this topic and concludes that AI and ML have the potential to significantly enhance supply chain efficiency, especially in last-mile delivery, by reducing costs, accelerating delivery speeds, and ultimately improving customer satisfaction.
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