Problem Statement
Businesses operating within the Open Network for Digital Commerce (ONDC) face challenges in keeping pace with rapidly evolving market trends. The sheer volume and velocity of data generated within the ONDC ecosystem make it challenging for businesses to extract meaningful insights and identify emerging trends. Traditional analytics tools may fall short in providing real-time, accurate, and actionable trend analysis, hindering businesses from making informed, data-driven decisions.
Abstract
Develop and implement an AI-powered trend analysis dashboard tailored for the ONDC ecosystem. The project aims to leverage advanced machine learning algorithms to process vast amounts of data generated within the ONDC, identifying and analyzing market trends in real-time. The dashboard will provide businesses with intuitive visualizations and actionable insights, enabling them to make informed decisions and stay ahead of the dynamic digital commerce landscape.
Outcome
The project’s outcome is an AI-powered trend analysis dashboard that empowers businesses operating within the ONDC ecosystem to make data-driven decisions. By harnessing the capabilities of artificial intelligence, the dashboard will offer real-time trend identification, predictive analytics, and actionable insights. Businesses will benefit from a deeper understanding of market dynamics, enabling them to optimize product offerings, marketing strategies, and overall business operations. The outcome contributes to increased competitiveness, improved strategic planning, and enhanced adaptability to the evolving trends within the ONDC ecosystem.
Reference
Artificial intelligence has vast potential in marketing. It aids in proliferating information and data sources, improving software’s data management capabilities, and designing intricate and advanced algorithms. AI is changing the way brands and users interact with one another. The application of this technology is highly dependent on the nature of the website and the type of business. Marketers can now focus more on the customer and meet their needs in real time. By using AI, they can quickly determine what content to target customers and which channel to employ at what moment, thanks to the data collected and generated by its algorithms. Users feel at ease and are more inclined to buy what is offered when AI is used to personalise their experiences. AI tools can also be used to analyse the performance of a competitor’s campaigns and reveal their customers’ expectations.
- S. Verma, R. Sharma, S. Deb, D. MaitraArtificial intelligence in marketing: systematic review and future research directionInt. J. Inf. Manag. Data Insights, 1 (1) (2021)
- S. Dimitrieska, A. Stankovska, T. EfremovaArtificial intelligence and marketingEntrepreneurship, 6 (2) (2018).
- U. Arsenijevic, M. JovicArtificial intelligence marketing: chatbots2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI), IEEE (2019), pp. 19-193
- X. Yang, H. Li, L. Ni, T. LiApplication of artificial intelligence in precision marketingJ. Organ. End User Comput., 33 (4) (2021), pp. 209-219.
- P. Jain, K. AggarwalTransforming marketing with artificial intelligenceInt. Res. J. Eng. Technol., 7 (7) (2020), pp. 3964-3976.