The Rising Trends of Smart E-Commerce Logistics

KALKHA, Hicham; Khiat, Azeddine; Bahnasse, Ayoub; Ouajji, Hassan

doi:10.1109/access.2023.3252566

Cited by 32 publications

(15 citation statements)

References 79 publications

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“…It is indicated that the choice of a digital platform for e-commerce determines the choice of a logistics activity model. Kalkha et al (2023) also stated that ecommerce requires not only the creation of etrading logistics but also the creation of a network multi-channel system for supporting logistics processes that are simple and reliable to use. Bulakh (2023) stated that the viability of an e-commerce enterprise is primarily determined by the reliability and innovative nature of its cyber security system.…”

Section: Literature Reviewmentioning

confidence: 99%

Innovative Aspect of E-Commerce Development in Ukraine

Gamova,

Shportiuk,

Duginets

et al. 2024

ees

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Introduction. The share of e-trading in the total volume of the Ukrainian retail sales market tends to increase. Since innovative trade approaches open new perspectives and provide the possibility of doing business in conditions of significant challenges, the role of e-commerce in restoring the country's economy becomes more significant. The social role of e-commerce as a source of vital goods for a population is also growing. Therefore, the study of the e-commerce market and analysis of the impact of war on its development have become important tasks. Aim and tasks. The purpose of this study is to examine the state of the e-commerce market using statistical data, analyze the impact of the war on the development of e-commerce, identify the main market trends, and forecast the main indicators of e-commerce. This determines the following tasks: establishing the peculiarities of the e-commerce market in Ukraine, establishing obstacles to the development of e-commerce, identifying opportunities that e-trading opens up for Ukrainian entrepreneurs, and determining the conditions to be taken into account in the transition of retail trade to e-trading under the challenges of war.. Results. The negative impact of significant market changes in the 2022-2023 was compensated by the growth in active e-commerce users. A change in the growth rate of users by 40% in 2022 was confirmed. This indicates that hostilities changed the range of e-commerce products and that the market share of basic necessities exceeded 50%. The highest annual revenue per user for food products will be 89.4% ahead of the product group closest to this indicator. According to the indicator “Average income from e-commerce per client”, it is predicted to reach 2019 only in 2026. Sales changes for the main product groups in 2024 have been established. According to the “Highest annual revenue per user” indicator, food products will exceed the value for 2023 by 25% and personal care products by 9.4%. Conclusions. Innovative technologies (e-marketplace, analysis of buyer profiles, omnichannel communication with consumers, m-trading, etc.) that contribute to the development of e-commerce and the interaction of these technologies and market needs are identified. The peculiarities of the Ukrainian e-commerce market during the war were established. Obstacles to the development of e-commerce and the opportunities that e-trading opens for Ukrainian entrepreneurs have been identified. The conditions that must be considered during the transition from retail trade to e-trading due to the challenges of war, which is especially important for small and medium-sized enterprises, are determined.

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Section: Literature Reviewmentioning

confidence: 99%

Innovative Aspect of E-Commerce Development in Ukraine

Gamova,

Shportiuk,

Duginets

et al. 2024

ees

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“…The effect of digitization on trade logistics in e-commerce, highlighting the importance of smart logistics for the sector was examined [10]. In order to evaluate the maturity of research in this field, the researchers looked through 288 publications that were published in the last ten years in the Scopus database.…”

Section: Review Of Related Workmentioning

confidence: 99%

Logistics Web Application for the Tracking of Parcels

Betrand,

Onukwugha,

Ofoegbu

et al. 2024

IJDST

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Firms can save operating expenses and improve customer satisfaction by managing their logistics well. Delivering goods and services to customers with the highest standards while reducing operating costs is the aim of the logistics management philosophy. As a result, logistics management is a crucial component of the supply chain process, which also includes other tasks including organizing, directing, planning, storing, communicating, and providing support. Web applications tracking allow easy access to goods and services over the internet. It allows for easy detection of the state, location of goods and services at any given instance. This web application gives the users easy accessisibility to the platform. The logistics web application for the tracking of parcels was developed using Angular Js, Node and Express Js, and MongoDB. Hosted on Heroku. The aim of the project which is to meet the demands of the users while offering real-time visibility, efficient route optimization, as well as the overall streaming of the supply chain process was achieved. With this application, users can finally be able to know the current and real time location of their packages so long as they have access to the internet.

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“…The next generation of industrial revolution requires a wide range of developments regarding sensing and perception technologies which would enable intelligent systems for warehousing applications [1]- [3]. These systems should be endowed with high flexibility and versatility to adapt to the rapidly changing market needs.…”

Section: Introductionmentioning

confidence: 99%

Occlusion-Robust Pallet Pose Estimation for Warehouse Automation

Vu,

Hoang,

Tan

et al. 2024

IEEE Access

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Accurate detection and estimation of pallet poses from color and depth data (RGB-D) are integral components many in advanced warehouse intelligent systems. State-of-the art object pose estimation methods follow a two-stage process, relying on off-the-shelf segmentation or object detection in the initial stage and subsequently predicting the pose of objects using cropped images. The cropped patches may include both the target object and irrelevant information, such as background or other objects, leading to challenges in handling pallets in warehouse settings with heavy occlusions from loaded objects. In this study, we propose an innovative deep learning-based approach to address the occlusion problem in pallet pose estimation from RGB-D images. Inspired by the selective attention mechanism in human perception, our developed model learns to identify and attenuate the significance of features in occluded regions, focusing on the visible and informative areas for accurate pose estimation. Instead of directly estimating pallet poses from cropped patches as in existing methods, we introduce two feature map re-weighting modules with cross-modal attention. These modules effectively filter out features from occluded regions and background, enhancing pose estimation accuracy. Furthermore, we introduce a large-scale annotated pallet dataset specifically designed to capture occlusion scenarios in warehouse environments, facilitating comprehensive training and evaluation. Experimental results on the newly collected pallet dataset show that our proposed method increases accuracy by 13.5% compared to state-of-the-art methods.

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The Rising Trends of Smart E-Commerce Logistics

Cited by 32 publications

References 79 publications

Innovative Aspect of E-Commerce Development in Ukraine

Innovative Aspect of E-Commerce Development in Ukraine

Logistics Web Application for the Tracking of Parcels

Occlusion-Robust Pallet Pose Estimation for Warehouse Automation

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