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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
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| Paper Title: | Dynamic E-Commerce Marketing Strategies for Small-Scale Businesses: Leveraging Quick Commerce and AI for Rapid Consumer Engagement |
| Authors Name: | Jeo F , Dr. Vinoth Krishna |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_209046
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| Published Paper Id: | IJRTI2601033 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | The rapid evolution of e-commerce has created significant challenges and opportunities for small-scale businesses striving to remain competitive in increasingly time-sensitive digital markets. This research examines how dynamic e-commerce marketing strategies, supported by quick commerce (Q-commerce) models and artificial intelligence (AI), can enhance rapid consumer engagement for small-scale enterprises. Quick commerce emphasizes ultra-fast delivery, localized inventory, and real-time demand fulfillment, while AI enables data-driven personalization, predictive analytics, and automated customer interactions. The study explores the integration of AI-driven marketing tools—such as recommendation systems, chatbots, and dynamic pricing—with Q-commerce platforms to assess their impact on customer acquisition, engagement speed, and retention. Using a mixed-method approach that combines secondary data analysis, case studies of small-scale digital retailers, and survey-based insights from consumers, the research evaluates the effectiveness, feasibility, and cost implications of these technologies for resource-constrained businesses. The findings aim to identify practical, scalable marketing frameworks that allow small-scale businesses to respond rapidly to changing consumer behavior without excessive technological investment. This research contributes to existing e-commerce literature by focusing specifically on agility, speed, and AI-enabled decision-making in small-business contexts, offering actionable insights for entrepreneurs and digital marketers seeking sustainable growth in fast-moving online marketplaces. |
| Keywords: | Dynamic e-commerce marketing, Small-scale businesses, Artificial intelligence in marketing, Quick commerce (Q-commerce), Rapid consumer engagement, Digital agility, Hyperlocal fulfillment, Platform-based ecosystems |
| Cite Article: | "Dynamic E-Commerce Marketing Strategies for Small-Scale Businesses: Leveraging Quick Commerce and AI for Rapid Consumer Engagement", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a252-a261, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601033.pdf |
| Downloads: | 000116 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2601033
Registration ID:209046
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: a252-a261 Country: Bangalore, Karnataka, India Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601033 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601033 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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