Authors :
Nikith Nannapaneni; Dr. A. V. S. Prasad
Volume/Issue :
Volume 11 - 2026, Issue 9 - September
Google Scholar :
https://tinyurl.com/5xakvy5u
DOI :
https://doi.org/10.38124/ijisrt/26sep1276
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
This study applies the Analytic Hierarchy Process to evaluate e-commerce chatbots across five customer-centered
criteria: responsiveness, personalization, reliability, ease of use, and service quality. Chatbot services associated with
Amazon, Myntra, Meesho, Flipkart, and AJIO are compared using these shared criteria. The study identifies which
dimensions should be prioritized in chatbot evaluation and provides a structured basis for comparing platform performance.
AHP organizes the criteria and translates their relative importance into comparative priorities. The findings are intended
to inform the evaluation and improvement of e-commerce chatbot services in ways that reflect customer needs and
expectations.
Keywords :
Artificial Intelligence, E-commerce, Analytic Hierarchy Process.
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This study applies the Analytic Hierarchy Process to evaluate e-commerce chatbots across five customer-centered
criteria: responsiveness, personalization, reliability, ease of use, and service quality. Chatbot services associated with
Amazon, Myntra, Meesho, Flipkart, and AJIO are compared using these shared criteria. The study identifies which
dimensions should be prioritized in chatbot evaluation and provides a structured basis for comparing platform performance.
AHP organizes the criteria and translates their relative importance into comparative priorities. The findings are intended
to inform the evaluation and improvement of e-commerce chatbot services in ways that reflect customer needs and
expectations.
Keywords :
Artificial Intelligence, E-commerce, Analytic Hierarchy Process.