IDEAS home Printed from https://ideas.repec.org/a/bjw/techen/v15y2025i2p36-45.html

Automated customer consultation system for Pastry Shops

Author

Listed:
  • Trung Quoc Nguyen

    (FPT University, Ho Chi Minh City, Vietnam)

Abstract

Automated customer consulting is a form of automated customer care and consulting that utilizes texting and chat functions to replace human interaction. This research improves the Bi-LSTM language model. We aim to enhance the accuracy and applicability of an automated customer consultation system, which may impact enterprises and traders. Our question-answer system uses querying the entity and model textual similarity to match models. Automated customer care systems utilize computers or other technologies to assist customers. It empowers clients to address problems without human assistance in customer care. Human resources can address complex requests or high-value consumers, as automation handles many repetitive and straightforward activities. Many firms utilize it, especially fast-growing ones that need to arrange support.

Suggested Citation

  • Trung Quoc Nguyen, 2025. "Automated customer consultation system for Pastry Shops," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 15(2), pages 36-45.
    • Handle: RePEc:bjw:techen:v:15:y:2025:i:2:p:36-45
    DOI: 10.46223/HCMCOUJS.tech.en.15.2.4409.2025
    as

    Download full text from publisher

    File URL: https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/4409/2524
    Download Restriction: no
    File URL: https://libkey.io/10.46223/HCMCOUJS.tech.en.15.2.4409.2025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjw:techen:v:15:y:2025:i:2:p:36-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vu Tuan Truong (email available below). General contact details of provider: https://journalofscience.ou.edu.vn/index.php/tech-en .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.