Journal of Purchasing, Logistics and Supply Chain Management system (e-ISSN: 3048-6254)

Impact of Automation on Supply Chain Efficiency in Amazon Warehouses

Pratik S. Khandekar — 2026-06-02

Technological advancements in warehouse operations have fundamentally changed how large-scale e-commerce enterprises manage their supply chains. As global digital commerce continues to expand at an unprecedented pace, the pressure on fulfillment infrastructure to deliver greater speed, precision, and scalability has intensified considerably. This research paper examines the influence of automation technologies — including robotics, Artificial Intelligence (AI), and the Internet of Things (IoT) — on the operational effectiveness of Amazon's fulfillment network. Through an analysis of key performance dimensions such as processing speed, order accuracy, workforce productivity, and cost management, the study demonstrates that automation is central to Amazon's competitive edge in delivering fast and dependable logistics services. The research draws on secondary data sources, industry reports, and academic literature to build a comprehensive picture of how integrated automation ecosystems operate in high-throughput warehouse environments. Key quantitative findings include: robotic picking systems reduced order cycle times by 30–50%, autonomous mobile robots (AMRs) decreased picker travel distances by up to 60%, AI-driven demand forecasting improved inventory accuracy above 99%, and IoT-enabled monitoring enhanced real-time supply chain visibility across all nodes. Per-worker productivity increased by 20–35%, and return on investment was achieved within a 3–5-year horizon for highly automated facilities. While acknowledging challenges such as substantial capital requirements, cybersecurity considerations, and workforce transitions, the research concludes that automation is a foundational pillar of modern supply chain strategy. The insights presented in this study carry broader implications for logistics professionals and organisations seeking to enhance operational resilience and long-term competitiveness through intelligent warehouse technologies.

BorrowBox: The Local Tool and Gear Library

Vikram D. Deshmukh — 2026-06-20

Urban India has a large number of underutilized private tools, leading to inefficient resource usage, as many tools are purchased for one-time use and then remain idle. This paper presents BorrowBox, a peer-to-peer tool rental platform that connects tool owners, renters, and delivery partners. The platform includes OTP-based identity verification, escrow payment processing, dynamic delivery pricing, and a bilateral rating system to ensure trust and security. BorrowBox follows a dual commission model, charging 10% from both owners and renters, supported by a mathematical framework for rental costs, delivery charges, and owner earnings. A pilot study involving 35 participants from four groups—students, household owners, small contractors, and domain experts—was conducted. Results showed an average usability score of 4.3/5, exceeding the benchmark of 4.0 across all usability dimensions. Cost analysis suggests savings of up to 90% compared to purchasing tools for one-time use. The platform supports SDGs 8, 10, 11, and 12.

Service Quality Dimensions and Customer Satisfaction in the Courier and Logistics Sector

Ranjith Somasundaran Chakkambath — 2026-07-13

The courier and logistics sector depends heavily on customer satisfaction for a competitive advantage. This study examined customer satisfaction in the Indian courier industry through a survey across demographic segments. The study was focused on Kerala, India, with a descriptive research design and convenience sampling. A structured questionnaire was used to collect the data from 130 respondents. The questionnaire focused on demographics and the general trend in the usage of logistics services among customers. Also, understanding the overall satisfaction with these services and which dimension of service quality the customers look forward to. A Chi-test and an Exploratory factor analysis were conducted to shed light on this matter. The Indian Logistics service market has now become very competitive with the growth of e-commerce and more people relying on online shopping compared to physical shopping. The findings of the study give suggestions for the companies to look ahead while delivering their services to the customers, and making sure that they are satisfied and will be loyal customers to the brands.

An Analysis of Passenger Perceptions of Baggage Handling Efficiency in Bandaranaike International Airport: Exploring the Potential of Surveillance and RFID-based Tracking

Randika Amaranath — 2026-09-02

Efficient baggage handling remains an integral part of passenger service and airport operational efficiency. At Sri Lanka Bandaranaike International Airport, travelers have frequently been dissatisfied with the baggage handling process, including delays, mishandling, and inadequate communication, highlighting the need for technology-driven system improvement and operational optimization. This research study employed a qualitative research approach, utilizing semi-structured interviews with ten passengers of varied travel experiences. The SERVQUAL model of service quality and the Technology Adoption Model (TAM) of technology adoption served as the foundation for the NVivo thematic data analysis. This qualitative study used purposive sampling to recruit ten passengers, airport staff, and policymakers who had direct experience with passenger-processing services at Bandaranayake International Airport (BIA). Passengers perceived BIA's current baggage handling system as ineffective, with long wait times of 35 to 60 minutes, sporadic updates, and inadequate staff responsiveness. Respondents strongly favored RFID-enabled real-time tracking and overt surveillance cameras, believing that these technologies will improve accountability, openness, and dependability as long as staff training and data privacy protections are guaranteed. The study also identified implementation constraints, including the expense, integration of technology challenges, and low passenger awareness. The study comes to the conclusion that the efficiency of baggage handling, transparency of airport procedures, and passenger confidence in BIA could all be enhanced by gradually upgrading the implementation of RFID and AI-based surveillance, supported by suitable communication strategies, privacy policies, and stakeholder engagement. Planners, airport management, and service providers can learn policy lessons from these findings to enhance passenger experiences and civil aviation logistics in developing nations.