Artificial Intelligence In Retail And E-Commerce: Enhancing Customer Experience Through Personalization, Predictive Analytics, And Real-Time Engagement DOI

Dimple Patil

Published: Jan. 1, 2025

AI is transforming retail and e-commerce with unprecedented personalization, predictive analytics, real-time customer involvement. AI-powered recommendation engines, chatbots, sentiment analysis tools enable customer-centric tactics as consumers want more personalized experiences. AI's capacity to analyze massive volumes of data allows merchants develop shopping experiences that boost pleasure loyalty. For instance, deep learning-based systems accurately predict client preferences, increasing conversion rates average order values. analytics changing inventory management, demand forecasting, pricing in retail. Stock levels, waste, profitability are optimized by machine learning algorithms examine historical sales data, market trends, behavior. Real-time insights dynamic models adjust instantaneously supply changes, maintaining competitiveness fast-paced e-commerce. AI-enabled engagement business-customer interactions. Conversational can answer questions instantly personally smart chatbots voice assistants, improving user experience lowering operational expenses. Visual technologies like image identification augmented reality virtual try-ons visual search, online purchasing. The use has highlighted ethical issues such privacy algorithmic fairness. Growing sustainably requires balancing consumer personalization trust. This paper examines how might improve experience, supported recent breakthroughs industry trends. It shows may purchasing while tackling implementation a digital economy.

Language: Английский

Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects DOI Creative Commons
Muhammad Usman Hadi,

qasem al tashi,

Rizwan Qureshi

et al.

Published: Nov. 16, 2023

<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides comprehensive overview LLMs, their history, architecture, training methods, applications, challenges. The begins by discussing fundamental concepts generative AI architecture pre- trained transformers (GPT). It then an history evolution over time, different methods been used train them. discusses applications medical, education, finance, engineering. also how LLMs shaping future they can be solve real-world problems. challenges associated with deploying scenarios, ethical considerations, model biases, interpretability, computational resource requirements. highlights techniques enhancing robustness controllability addressing bias, fairness, generation quality issues. Finally, concludes highlighting LLM research need addressed order make more reliable useful. is intended provide researchers, practitioners, enthusiasts understanding evolution, By consolidating state-of-the-art knowledge field, this serves valuable further advancements development utilization applications. GitHub repo project available at https://github.com/anas-zafar/LLM-Survey</p>

Language: Английский

Citations

61
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

Citations

57
Exploring artificial intelligence for applications of drones in forest ecology and management DOI Creative Commons
Alexander Buchelt, Alexander Adrowitzer, Peter Kieseberg

et al.

Forest Ecology and Management, Journal Year: 2023, Volume and Issue: 551, P. 121530 - 121530

Published: Nov. 9, 2023

This paper highlights the significance of Artificial Intelligence (AI) in realm drone applications forestry. Drones have revolutionized various forest operations, and their role mapping, monitoring, inventory procedures is explored comprehensively. Leveraging advanced imaging technologies data processing techniques, drones enable real-time tracking changes forested landscapes, facilitating effective monitoring threats such as fire outbreaks pest infestations. They expedite by swiftly surveying large areas, providing precise on tree species identification, size estimation, health assessment, thus supporting informed decision-making sustainable management practices. Moreover, contribute to planting, pruning, harvesting, while reforestation efforts real-time. Wildlife also enhanced, aiding identification conservation concerns informing targeted strategies. offer a safer more efficient alternative search rescue operations within dense forests, reducing response time improving outcomes. Additionally, equipped with thermal cameras early detection wildfires, enabling timely response, mitigation, preservation efforts. The integration AI holds immense potential for enhancing forestry practices contributing land management. In future explainable (XAI) improves trust safety transparency decision-making, liability issues, operations. XAI facilitates better environmental impact analysis, If drone's can explain its actions, it will be easier understand why chose particular path or action, which could inform improvements.

Language: Английский

Citations

53
Artificial Intelligence and Sensor Innovations: Enhancing Livestock Welfare with a Human-Centric Approach DOI Creative Commons
Suresh Neethirajan

Human-Centric Intelligent Systems, Journal Year: 2023, Volume and Issue: 4(1), P. 77 - 92

Published: Nov. 22, 2023

Abstract In the wake of rapid advancements in artificial intelligence (AI) and sensor technologies, a new horizon possibilities has emerged across diverse sectors. Livestock farming, domain often sidelined conventional AI discussions, stands at cusp this transformative wave. This paper delves into profound potential innovations reshaping animal welfare livestock with pronounced emphasis on human-centric paradigm. Central to our discourse is symbiotic interplay between cutting-edge technology human expertise. While mechanisms offer real-time, comprehensive, objective insights welfare, it’s farmer’s intrinsic knowledge their environment that should steer these technological strides. We champion notion as an enhancer farmers’ innate capabilities, not substitute. Our manuscript sheds light on: Objective Animal Welfare Indicators: An exhaustive exploration health, behavioral, physiological metrics, underscoring AI’s prowess delivering precise, timely, evaluations. Farmer-Centric Approach: A focus pivotal role farmers adept adoption judicious utilization coupled discussions crafting intuitive, pragmatic, cost-effective solutions tailored farmers' distinct needs. Ethical Social Implications: discerning scrutiny digital metamorphosis encompassing facets like privacy, data safeguarding, responsible deployment, access disparities. Future Pathways: Advocacy for principled design, unambiguous use guidelines, fair access, all echoing fundamental principles computing analytics. essence, furnishes pioneering crossroads technology, ethics. It presents rejuvenated perspective, bridging chasm beneficiaries, resonating seamlessly ethos Human-Centric Intelligent Systems journal. comprehensive analysis thus marks significant stride burgeoning intelligent systems, especially within farming landscape, fostering harmonious coexistence animals, humans.

Language: Английский

Citations

46
ChatGPT as an important tool in organizational management: A review of the literature DOI
Lateef Ayinde, Muhamad Prabu Wibowo,

Benhur Ravuri

et al.

Business Information Review, Journal Year: 2023, Volume and Issue: 40(3), P. 137 - 149

Published: July 18, 2023

ChatGPT is an emerging technology that revolutionizes organizational practices, fundamentally altering how individuals in organizations search for, generate, and utilize information within the workplace. The effective functioning of many heavily relies on data information. has streamlined process working with information, making it more accessible for involved. However, adoption also presents challenges across various domains, including social, economic, legal considerations. This study conducts a comprehensive literature review to explore multiple perspectives integrating into management. It examines aspects, such as development ChatGPT, its practical uses, ethical implications, governance mechanisms, regulations policies. aims guide managers stakeholders effectively incorporating their processes. provides detailed examination ChatGPT's impact management, offering valuable insights practitioners scholars alike, aiming navigate complexities harness benefits this transformative technology. By understanding implications leveraging potential can enhance operations decision-making

Language: Английский

Citations

45
Human-Centered AI in smart farming: Towards Agriculture 5.0 DOI Creative Commons
Andreas Holzinger, Iztok Fister, Iztok Fister

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 62199 - 62214

Published: Jan. 1, 2024

Language: Английский

Citations

30
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides DOI Creative Commons
Montserrat Goles, Anamaria Sanchez–Daza, Gabriel Cabas-Mora

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 25(4)

Published: May 23, 2024

Abstract With their diverse biological activities, peptides are promising candidates for therapeutic applications, showing antimicrobial, antitumour and hormonal signalling capabilities. Despite advantages, face challenges such as short half-life, limited oral bioavailability susceptibility to plasma degradation. The rise of computational tools artificial intelligence (AI) in peptide research has spurred the development advanced methodologies databases that pivotal exploration these complex macromolecules. This perspective delves into integrating AI development, encompassing classifier methods, predictive systems avant-garde design facilitated by deep-generative models like generative adversarial networks variational autoencoders. There still challenges, need processing optimization careful validation models. work outlines traditional strategies machine learning model construction training techniques proposes a comprehensive AI-assisted pipeline. evolving landscape using is emphasized, showcasing practicality methods expediting discovery novel within context peptide-based drug discovery.

Language: Английский

Citations

30
The impact of ChatGPT on human skills: A quantitative study on twitter data DOI Creative Commons
Vito Giordano, Irene Spada, Filippo Chiarello

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 203, P. 123389 - 123389

Published: April 10, 2024

The novel generative Artificial Intelligence (AI) developed by OpenAI, i.e., ChatGPT, rised a great interest in both scientific and business contexts. This new wave of technological advancement typically produces deep transformation the workplace, requiring skills. However, none studies literature provide quantitative analysis measures on impact ChatGPT human To address this gap, we collected database 616,073 tweets about used Natural Language Processing techniques to identify tasks users requested perform, sentiment related these tasks. Then, compared with standard taxonomy skills (i.e., ESCO) using BERT. results study underline that impacts 185 different Moreover, proposed model represent interaction user useful define four which are emerging for technology.

Language: Английский

Citations

23
Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges DOI
Soraya Sedkaoui,

Rafika Benaichouba

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Purpose This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. analysis explores potential, applications, challenges of Gen AI in driving innovation creativity generating ideas. Design/methodology/approach The adopts a comprehensive review approach, carefully assessing current scientific articles published from 2022 to 2024. trends insights derived research. Findings indicates that has significant potential augment human processes as collaborative partner. However, it is imperative prioritize responsible development ethical frameworks order effectively tackle biases, privacy concerns, other challenges. significantly transforming business models, processes, value propositions several industries, but with varying degrees effect. indicate also despite theory-driven approach investigating AI's creative innovative cutting-edge applications research prioritizes examining possibilities models. Research limitations/implications Although this offers picture great possibilities, concurrently underlines necessity for deep knowledge nuances fully harness capabilities. findings continuous exploration efforts are required address assure implementation. Therefore, more needed enhancing human-AI collaboration defining norms varied circumstances. Originality/value presents relevant transformational an catalyst. It emphasizes major issues integration.

Language: Английский

Citations

21
New Generation Sustainable Technologies for Soilless Vegetable Production DOI Creative Commons
Fernando Fuentes-Peñailillo,

Karen Gutter,

Ricardo Vega

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(1), P. 49 - 49

Published: Jan. 4, 2024

This review article conducts an in-depth analysis of the role next-generation technologies in soilless vegetable production, highlighting their groundbreaking potential to revolutionize yield, efficiency, and sustainability. These technologies, such as AI-driven monitoring systems precision farming methods, offer unparalleled accuracy critical variables nutrient concentrations pH levels. However, paper also addresses multifaceted challenges that hinder widespread adoption these technologies. The high initial investment costs pose a significant barrier, particularly for small- medium-scale farmers, thereby risking creation technological divide industry. Additionally, technical complexity demands specialized expertise, potentially exacerbating knowledge gaps among farmers. Other considerations are scrutinized, including data privacy concerns job displacement due automation. Regulatory challenges, international trade regulations policy frameworks, discussed, they may need revision accommodate new concludes by emphasizing while sustainable transformative benefits, broad is constrained complex interplay financial, technical, regulatory, social factors.

Language: Английский

Citations

18