Customer Relationship Management has been revolutionized by the fast development of AI, which allows companies to better manage customer relationships with more intelligence and efficiency. Automating procedures, improving data quality, and generating meaningful customer insights are all possible with AI-powered CRM solutions that combine technologies like machine learning, natural language processing, and predictive analytics. Sales forecasting, lead management, customer segmentation, personalized marketing, and service automation are all essential CRM operations that these systems back up. Through the real-time analysis of massive amounts of customer data, both structured and unstructured, AI-driven CRM solutions enable organizations to enhance decision-making, foresee consumer demands, and provide personalised experiences across many touch points. .

Small Scale Industries (SSIs) development is critical in enhancing economic growth, job creation and development of the regions. District Industries Centres (DICs) were developed to offer a combination of support and services in order to facilitate the development of SSIs at district level. The current study will use the analytical research design to investigate the usefulness of DICs in the support of SSI units. A total of 230 employees of SSI units were used to gather data in the study using a structured questionnaire..

As a more all-encompassing framework for capturing ambiguous and uncertain information, Complex Intuitionistic Fuzzy Set Theory (CIFST) emerged from the merging of intuitionistic fuzzy sets with complex fuzzy sets. Complex Intuitionistic Fuzzy Sets are defined and theorised in this study, along with some basic theorems about boundedness and the non-negativity of hesitation degrees. In addition, the paper delves into the possible uses of CIFS in decision-making scenarios including imprecise information and various criteria. Future research in intelligent systems, pattern recognition, and decision support approaches may be built upon the solid mathematical basis provided by the suggested framework, which also offers improved flexibility for modelling real-world situations..