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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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MERCHANT AI – REALTIME E-COMMERCE ANALYTICS EXPERT

AUTHORS:
Kota.Sai Krishna
K.Karthik Chary
Kanneti.Divya
Mentor
Dr.Priyanka Dash
Affiliation
Computer Science & Engineering-Cyber Security, Malla Reddy University, Hyderabad, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The increasing popularity of Ecommerce has happened at an incredible pace and it is still overwhelming many online merchants who are frequently attempting to stay current. Larger businesses are able to invest in large and very complex software as well as they have the ability to hire analysts to help them with day-to-day transaction tasks related to e-commerce; smaller retailers either use spreadsheets or write down notes or attempt to guess what there will


be left on their shelves to price according to the current market conditions; or they are relying on their instincts to make purchase decisions based on previous sales performance instead of using data. Merchant AI fills this gap with the concept that an organization’s day-to-day operations are not supposed to be fragmented. Merchant AI uses a real-time analytical dashboard that gathers inventory analytics and other product management information and places everything into one usable location for convenience. On a practical level, the same problems found within other systems can be dealt with using more structured processes. Merchant AI utilizes contemporary web tech (react.js, tailwind CSS) to create responsive, & easy to use mobile/desktop UI. Also, it uses data-driven AI to assist merchants in analyzing & making informed decisions about their inventories. Merchant AI is a valuable tool that merges - on-line & off-line analytics, real-time performance reporting, & intelligent recommendations. This makes Merchant AI a real-world, scalable solution for eCommerce management in today's business marketplace.

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Krishna, K., Chary, K. & Kanneti.Divya, (2026). Merchant AI – Realtime E-Commerce Analytics Expert. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.049

Krishna, Kota.Sai, et al.. "Merchant AI – Realtime E-Commerce Analytics Expert." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.049.

Krishna, Kota.Sai,K.Karthik Chary, and Kanneti.Divya. "Merchant AI – Realtime E-Commerce Analytics Expert." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.049.

References
1.Laudon, K. C., & Traver, C. G., E- Commerce: Business, Technology, Society, Pearson Education, 2019.

2.Turban, E., King, D., Lee, J., Liang, T. P., Electronic Commerce: A Managerial and Social Networks Perspective, Springer, 2018.

3.Chen, M., Mao, S., & Liu, Y., “Big Data: A Survey,” Mobile Networks and Applications, Springer, 2014.

4.Han, , Kamber, M., & Pei, J., Data Mining: Concepts and Techniques, Morgan Kaufmann, 2012.

5.Russell, S., & Norvig, P., Artificial Intelligence: A Modern Approach, Pearson,

6.Hevner, A. R., et al., “Design Science in Information Systems Research,” MIS Quarterly, 2004.

7.Sommerville, I., Software Engineering, Pearson, 2016.

8.Pressman, S., Software Engineering: APractitioner’s Approach, McGraw-Hill, 2015.

9.Chen, , “Machine Learning Techniques for Inventory Management,” International Journal of Computer Applications, 2017.

10.Kim, , “Real-Time Data Analytics in Web Applications,” IEEE Transactions on Services Computing, 2019
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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