Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57005

Digital Transformation of Traditional Tea Shops Using AI-Based Web and Mobile Management System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57005

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57005

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DGMP

Dr. G. Maria Priscilla

ADV

Amala Darciya V

RM

Roshni M

Author Services & Downloads

Full Articles

Abstract

Tea shops are also one of the busiest and commonly used small-scale businesses, especially in India and many countries in Asia. Even though there are many tea shops that serve several people every day, many of them are using manual procedures for ordering, billing, and handling the demands of the customers. These manual procedures usually cause delay, error occurrence, poor customization, and difficulty in handling customer orders, especially during busy times. By the rapid advancements in smartphone technology and the internet, people are expecting faster and more convenient services, thereby resulting in the need to modernize the tea shop. This paper aims to introduce a smarter web & mobile-based tea shop management system to transform the traditional tea shop into a digital service facility. Customers will be able to view the categorized digital menu, customize their preferences, place orders beforehand, and monitor the status of their orders in a very short time using this new system, in addition to many other features such as artificial intelligence in dealing with customer demands. From the business perspective, the system provides the tools for management in menu items, order processing, reservation handling, and customer information storage. The proposed solution improves service efficiency, reduces manual errors, and enhances customer satisfaction, at the same time providing a practical, affordable, digital platform that suits modern tea shop environments.

KEYWORDS

Tea shop automation Web application Mobile application Digital menu Order management AI recommendation Voice assistant

Cite This Article

Dr. G. Maria Priscilla, Amala Darciya V, Roshni M, "Digital Transformation of Traditional Tea Shops Using AI-Based Web and Mobile Management System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM57005

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

2/27/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...