LEVERAGING INNOVATIVE MARKETING STRATEGIES IN RETAIL THROUGH DISTRIBUTED DATA AND KNOWLEDGE -BASED SYSTEMS
Abstract
In today’s competitive retail landscape, innovative marketing strategies are essential. This paper explores how distributed data systems and knowledge -based technologies can enhance marketing effectiveness. By analyzing data from diverse sources and applyi ng AI -driven insights, retailers can better understand customer behavior and market trends. Knowledge -based systems enable personalized marketing and precise targeting. A distributed approach improves scalability, responsiveness, and security. The paper al so addresses data privacy challenges. In conclusion, leveraging advanced analytics and intelligent systems helps retailers gain a competitive edge and achieve sustainable growth.
Keywords
innovative marketing strategies, retail industry, distributed data, knowledge -based systems, customer engagement, advanced analytics, competitive advantage
References
- Forestiero, A. (2021). Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural -driven multiagent system. Knowledge -Based Systems.
- Wang, H., Xu, Z., & Pedrycz, W. (2017). An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities. Knowledge - Based Systems.
- Caldarola, E. G., Modoni, G. E., & Sacco, M. (2018). Enhancing the Workforce Skills and Competences by Leveraging a Human -Centered Knowledge -Based System in the Rise of Industry 4.0. Intelligent Systems.
- Wu, Q., Wu, J., Shen, J., Du, B., & Telikani, A. (2022). Distributed agent -based deep reinforcement learning for large scale traffic signal control. Knowledge -Based Systems.
- Villegas, N. M., Sánchez, C., & Díaz -Cely, J. (2018). Characterizing context - aware recommender systems: A systematic literature review. Knowledge -Based Systems.
- De Santo, A., Galli, A., Moscato, V., & Sperlì, G. (2021). A deep learning approach for semi -supervised community detection in Online Social Networks. Knowledge -Based Systems.
- García -Sánchez, F., Paredes -Valverde, M. (2017). KBS4FIA: Leveraging advanced knowledge -based systems for financial information analysis. Lenguaje Natural.
- Chang, V. (2017). Towards data analysis for weather cloud computing. Knowledge -Based Systems.
- Catelli, R., Casola, V., De Pietro, G., Fujita, H. (2021). Combining contextualized word representation and sub -document level analysis through Bi - LSTM+ CRF architecture for clinical de -identification. Knowledge -Based Systems.
- Gupta, S., Justy, T., Kamboj, S., Kumar, A. (2021). Big data and firm marketing performance: Findings from knowledge -based view. Forecasting and Social.
- Ngai, E.W.T., Lee, M.C.M., Luo, M., Chan, P.S.L. (2021). An intelligent knowledge -based chatbot for customer service. Commerce Research and.
- Benítez -Hidalgo, A., Barba -González, C. (2021). TITAN: A knowledge - based platform for Big Data workflow management. Knowledge -Based Systems.
- Halawi, L., McCarthy, R., Aronson, J. (2017). Success stories in knowledge management systems. Information Systems.
- Kazanjian, R.K., Drazin, R. (2017). Implementing strategies for corporate entrepreneurship: A knowledge -based perspective. Creating a new mindset.
- Zhang, W., Jiang, Y., Zhang, W. (2019). Capabilities for collaborative innovation of technological alliance: A knowledge -based view. IEEE Transactions on.
- Varadarajan, R. (2020). Customer information resources advantage, marketing strategy and business performance: A market resources based view. Industrial Marketing Management.
- Mohammadi, V., Rahmani, A.M., Darwesh, A. (2021). Trust -based Friend Selection Algorithm for navigability in social Internet of Things. Knowledge -Based Systems.
- Zhao, G., Lou, P., Qian, X., Hou, X. (2020). Personalized location recommendation by fusing sentimental and spatial context. Knowledge -Based Systems.
- Wang, Y., Sun, X., Li, X., Zhang, W., Gao, X. (2021). Reasoning like humans: on dynamic attention prior in image captioning. Knowledge -Based Systems.
- Horng, J.S., Liu, C.H., Chou, S.F., Yu, T.Y., Hu, D.C. (2022). Role of big data capabilities in enhancing competitive advantage and performance in the hospitality sector: Knowledge -based dynamic capabilities view. Journal of Hospitality and.
- Daudert, T. (2021). Exploiting textual and relationship information for fine - grained financial sentiment analysis. Knowledge -Based Systems.
- Agaram, M.K. (2019). Intelligent foundations for knowledge -based systems. Science, Technology and Engineering Systems.
- Fernandez -Basso, C., Francisco -Agra, A. J. (2019). Finding tendencies in streaming data using big data frequent itemset mining. Knowledge -Based Systems.
- del Carmen Rodríguez -Hernández, M., Ilarri, S. (2021). AI -based mobile context -aware recommender systems from an information management perspective: Progress and directions. Knowledge -Based Systems.
- Khosravani, M. R., Nasiri, S., Reinicke, T. (2022). Intelligent knowledge - based system to improve injection molding process. Journal of Industrial Information.
- Villegas, N. M., Sánchez, C., Díaz -Cely, J. (2018). Characterizing context - aware recommender systems: A systematic literature review. Knowledge -Based Systems.
- Abu Amuna, Y. M., Al Shobaki, M. J., Abu -Naser, S. S. (2017). The role of knowledge -based computerized management information systems in the administrative decision -making process.
- Chowdhury, S., Budhwar, P., Dey, P. K., Joel -Edgar, S. (2022). AI -employee collaboration and business performance: Integrating knowledge -based view, socio - technical systems and organizational socialization framework. Journal of Business Research.
- Horng, J. S., Liu, C. H., Chou, S. F., Yu, T. Y., Hu, D. C. (2022). Role of big data capabilities in enhancing competitive advantage and performance in the hospitality sector: Knowledge -based dynamic capabilities view. Journal of Hospitality and Tourism Ma nagement.
- Bozorgi, A., Samet, S., Kwisthout, J., Wareham, T. (2017). Community -based influence maximization in social networks under a competitive linear threshold model. Knowledge -Based Systems.
- Badii, C., Bellini, P., Cenni, D., Difino, A., Nesi, P. (2017). Analysis and assessment of a knowledge -based smart city architecture providing service APIs. Future Generation Computer Systems.