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The Small businesses operate in highly competitive markets where customer expectations continue to evolve rapidly. Customer data is generated from multiple channels, including websites, social media, emails, and in-store interactions. Despite this, many small enterprises still depend on manual processes or basic CRM systems, limiting their ability to analyse customer behaviour effectively.
Traditional CRM systems primarily respond to past events rather than predicting future actions. This reactive nature often leads to missed opportunities, delayed responses, and increased customer churn. Additionally, the growing volume of data makes manual management inefficient and error-prone.
To address these challenges, there is a need for intelligent CRM systems that can process data in real time, predict customer behaviour, and automate engagement strategies. This research focuses on developing an AI-driven CRM model tailored to the needs of small businesses.
"Customer Relationship Management Model for small business", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a259-a263, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605031.pdf
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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