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International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
Effortless Logistics: A Seamless
Transportation System for on Time Deliveries
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Pawan Sakarde , Prayas Sukhadeve , Poonam Kale , Prof. Anupam Chaube
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1,2,3,4 Department of Science and Technology,
1,2,3,4 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India
ABSTRACT Machine Learning Applications: Machine learning
In the modern era of global commerce, the demand for models have been developed to predict demand patterns
efficient logistics and transportation systems has never and optimize routing, contributing to reduced delivery
been greater. The concept of "Effortless Logistics" envisions times and operational costs.
a seamless transportation network that ensures on-time III.
deliveries, improves operational efficiency, and enhances LITERATURE SURVEY
A comprehensive review of existing literature highlights
customer satisfaction. This paper explores the technological
several key developments in logistics and transportation:
advancements, methodologies, and strategies in logistics,
focusing on the integration of digital technologies, Crowdsourced Delivery Models: Studies have shown
sustainable practices, and autonomous systems. By that leveraging crowdsourced resources, such as ride-
addressing current challenges and proposing innovative sharing services, can optimize last-mile deliveries. The
solutions, this study aims to provide a roadmap for the CrowdExpress framework demonstrates the feasibility
future of logistics. of using taxis for package deliveries, achieving high
success rates in on-time performance.
KEYWORDS: Deliveries, transport, logistics, travel, cargo Autonomous Delivery Systems: Research on self-
driving delivery robots has revealed their potential to
I. INTRODUCTION enhance efficiency and reduce labor costs. Field trials
In the modern era of global commerce, the demand for have demonstrated the ability of these robots to
efficient logistics and transportation systems has never been navigate urban environments safely and reliably.
greater. The concept of "Effortless Logistics" envisions a
seamless transportation network that ensures on-time Sustainable Practices: Efforts to reduce carbon
deliveries, improves operational efficiency, and enhances emissions through automated cargo transport systems
customer satisfaction. This paper explores the technological and digitization of logistics processes have gained
advancements, methodologies, and strategies in logistics, significant traction. Examples include Japan’s automated
focusing on the integration of digital technologies, cargo corridors and digital solutions to minimize waste
sustainable practices, and autonomous systems. By in logistics operations.
addressing current challenges and proposing innovative IV. METHODOLOGY
solutions, this study aims to provide a roadmap for the
This study adopts a mixed-methods approach to analyze the
future of logistics.
effectiveness of seamless logistics systems. The methodology
II. RELATED WORKS encompasses the following steps:
The field of logistics has been extensively studied, with 1. Data Collection: The research began with extensive
numerous research efforts focusing on streamlining data collection from multiple sources, including case
operations and enhancing delivery reliability. Key related studies, industry reports, and academic publications.
works include:
Quantitative data regarding delivery times, efficiency
Smart Logistics Systems: Studies have emphasized the metrics, and operational costs were gathered from field
role of IoT-enabled devices in creating interconnected trials and real-world logistics operations. Additionally,
supply chains. These systems enable real-time surveys were conducted with logistics professionals to
monitoring and efficient resource allocation, resulting in identify common challenges and emerging trends.
enhanced delivery performance. 2. Qualitative Analysis: Qualitative data was derived from
Blockchain in Logistics: Researchers have explored the interviews with industry experts, supply chain
application of blockchain technology for improving managers, and technology developers. These interviews
transparency and security in logistics networks. By provided valuable insights into the practical challenges
providing an immutable record of transactions, faced by logistics companies, as well as potential
blockchain facilitates trust and accountability among solutions enabled by technological advancements.
stakeholders. Observational studies were also conducted at logistics
hubs to understand workflow dynamics and bottlenecks.
Urban Freight Solutions: Research on urban freight
transport highlights innovative approaches, such as 3. Simulation Models: Advanced simulation tools were
micro-distribution hubs and cargo bikes, to address utilized to test and evaluate the proposed logistics
congestion and environmental concerns in densely frameworks under various scenarios. These simulations
populated areas. modeled the performance of integrated transportation
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