E-Comers And Ai: Product Recommendation & Pricing

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 12 | Issue : 02 | Page : –
    By

    Kazi Kutubuddin Sayyad Liyakat,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_184931’);});Edit Abstract & Keyword

E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This article will look at the important areas wherein AI is having a substantial impact, including improving customer experience, optimizing logistics, and increasing profitability. AI enhances e-commerce supply chain efficiency by precisely predicting demand, covering aspects like sourcing materials, managing inventory, and streamlining delivery. For instance, an AI-driven system can anticipate a rise in winter coat demand based on weather patterns, allowing businesses to stock up in advance and prevent shortages. I-powered pricing technologies enable e-commerce companies to alter prices in real time built around market conditions and rival pricing. This guarantees that they maintain competitiveness while increasing profits. For example, if a competitor reduces the price of a specific product, the AI system may automatically alter the pricing on the online marketplace to match or undercut the competitor.

Keywords: E-comers, product, pricing, machine learning, artificial intelligence

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. E-Comers And Ai: Product Recommendation & Pricing. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. E-Comers And Ai: Product Recommendation & Pricing. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-. Available from: https://journals.stmjournals.com/joaira/article=2025/view=0



document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_184931’);});Edit

References

  1. Khadake S, Kawade S, Moholkar S, Pawar M. A review of 6G technologies and its advantages over 5G technology. InTechno-Societal 2016, International Conference on Advanced Technologies for Societal Applications 2022 Dec 9 (pp. 1043-1051). Cham: Springer International Publishing.
  2. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. Review of AI in power electronics and drive systems. In2024 3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC) 2024 Feb 23 (pp. 94-99). IEEE.
  3. Dudgikar AB, Ingalgi AA, Jamadar AG, Swami OR, Khadake SB, Moholkar SV. Intelligent battery swapping system for electric vehicles with charging stations locator on IoT and cloud platform. International Journal of Advanced Research in Science, Communication and Technology. 2023 Jan;3(1):204-8.
  4. Khadake SB, Patil VJ. Prototype design & development of solar based electric vehicle. In2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) 2023 Dec 29 (pp. 1-7). IEEE.
  5. Zohuri B, Mossavar-Rahmani F. The symbiotic relationship unraveling the interplay between technology and artificial intelligence (an intelligent dynamic relationship). Journal of Energy and Power Engineering. 2023 Apr;17(2).
  6. Zhong F, Wang J, Cheng X. Application of Intelligent Traffic Control Based on PLC. InConference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) 2013 Mar (pp. 1044-1048). Atlantis Press.
  7. Magar SS, Sugandhi AS, Pawar SH, Khadake SB, Mallad HM. Harnessing Wind Vibration, a Novel Approach towards Electric Energy Generation-Review. IJARSCT. 2024 Oct;4(2):73-82.
  8. Abass N, Vaidya R, Satav R, Jeyavel J. Automatic sanitizer dispenser with temperature screening. International Journal of Advance Research, Ideas and Innovations in Technology. 2021;7(3):283- 5.
  9. Landage SS, Chavan SR, Kokate PA, Lohar SP, Pawar MK, Khadake SB. Solar Outdoor Air Purifier With Air Quality Monitoring System. InSynergies Of Innovation: Proceedings Of Ncstem 2023 2024 Sep (pp. 260-266).
  10. Khadake SB. Detecting salient objects of natural scene in a video’s using spatio-temporal saliency & colour map. International Journal of Research Publications in Engineering and Technology. 2016;2(8):30-5.
  11. Nikitha R, Vedhapriyavadhana R, Anubala VP. Video saliency detection using weight based spatio- temporal features. In2018 International Conference on Smart Systems and Inventive Technology (ICSSIT) 2018 Dec 13 (pp. 343-347). IEEE.
  12. Muniappan A, Thiagarajan C, Kumar GA, Joseph Raj X, Irene J, Niranjan N. Conversion of Conventional Vehicle Into Solar Powered Electric Vehicle—A Realistic Approach. Int. J. Innovative Res. Sci., Eng. Technol.. 2014;3(9):16232-7.
  13. GowthamRajan N, Arun Kumar M. Circuit Design Consideration in Solar Powered Electric Vehicle. International Journal of Engineering Research & Technology. 2020 Oct 18;8(16).
  14. Nikhil KN. A review on battery management system for electric vehicles. International Journal for Research in Applied Science & Engineering Technology (IJRASET). 2022 Jul;10(7).
  15. Chounde A, Gopnarayan BB, Patil KB, Kamble SS. Human Health Care System: A New Approach towards Life. Grenze International Journal of Engineering & Technology (GIJET). 2024 Jun 15;10.
  16. Singh P. Crop monitoring using industrial technology 4.0 in smart agriculture. Int. Res. J. Eng. Technol.. 2020(6):3594-600.
  17. Sharma P, Vashistha S, Pal S, Parihar RS, Singh S, Garg S, Vishnoi A. Solar Powered Vehicle. Imperial International Journal of Eco-friendly Technologies. 2016;1(1):209-12.
  18. Demirbas A. Progress and recent trends in biodiesel fuels. Energy conversion and management. 2009 Jan 1;50(1):14-34.
  19. Veena C, Sridevi M, Liyakat KK, Saha B, Reddy SR, Shirisha N. HEECCNB: An efficient IoT- cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. In2023 Seventh International Conference on Image Information Processing (ICIIP) 2023 Nov 22 (pp. 407-410). IEEE.
  20. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning applications. Transformative Approaches to Patient Literacy and Healthcare Innovation. 2024:112- 35.
  21. Dhanke J, Rathee N, Vinmathi MS, Janu Priya S, Abidin S, Tesfamariam M. [Retracted] Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases. Computational Intelligence and Neuroscience. 2022;2022(1):3564482.
  22. Pradeepa M, Jamberi K, Sajith S, Bai MR, Prakash A. Student health detection using a machine learning approach and IoT. In2022 IEEE 2nd Mysore sub section International Conference (MysuruCon) 2022 Oct 16 (pp. 1-5). IEEE.
  23. Kazi KS, Mahant MA. Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. InDigitalization and the Transformation of the Healthcare Sector 2025 (pp. 205-236). IGI Global Scientific Publishing.
  24. Mulani AO, Liyakat KK, Warade NS, Patil A, Kolte MT, Kinage K, Rana M, Salunkhe SS, Jadhav VS, Nagrale M. WITHDRAWN–Administrative Duplicate Publication: ML-powered Internet of Medical Things Structure for Heart Disease Prediction.
  25. Odnala S, Shanthy R, Bharathi B, Pandey C, Rachapalli A, Liyakat KK. Artificial Intelligence and Cloud-Enabled E-Vehicle Design with Wireless Sensor Integration. Available at SSRN 5107242. 2024 Nov 15.
  26. Neeraja P, Kumar RG, Kumar MS, Liyakat KK, Vani MS. DL-based somnolence detection for improved driver safety and alertness monitoring. In2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) 2024 Feb 9 (Vol. 5, pp. 589-594). IEEE.
  27. Nerkar PM, Dhaware BU, Liyakat KS. Predictive data analytics framework based on heart healthcare system (HHS) using machine learning. Journal of Advanced Zoology. 2023;44(2).
  28. Kutubuddin KA, Nerkar PR, Sultanabanu KA. IoT-based skin health monitoring system. International Journal of Biology, Pharmacy and Allied Sciences. 2024;13(11):5937-50.
  29. Liyakat KK, Khadake SB, Chounde AB, Suryagan AA, HM M, Khadatare MR. AI-Driven-IoT (AIIoT) Based Decision Making System for High-Blood Pressure Patient Healthcare Monitoring. In2024 International Conference on Sustainable Communication Networks and Application (ICSCNA) 2024 Dec 11 (pp. 96-102). IEEE.
  30. Vimalnath S, Dharshini R, Archana S, Gowsikadevi M, Harini S. Next-Generation Health Monitoring Using IoT. In2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) 2024 Mar 15 (pp. 1-5). IEEE.
Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 16/02/2025
Accepted 11/04/2025
Published 17/04/2025
Publication Time 60 Days
183

[first_name] [last_name]

My IP

PlumX Metrics