| Consumer behavior prediction system using big data analytics in digital platform e.g. electronic commerce, social media, search engines and online reviews, has recommendation system that suggests personalized products and pricing based on analyzed data | |
| 2025-03-31 | |
| 专利权人 | DEEPA P (DEEP-Individual) ; TAMILARASI M (TAMI-Individual) ; MAHENDHRAN P (MAHE-Individual) ; KALPANA K (KALP-Individual) ; SUMATHI V (SUMA-Individual) ; DHEVIKA V P T (DHEV-Individual) ; SHANKAR R G (SHAN-Individual) |
| 申请日期 | 2025-03-31 |
| 专利号 | IN202541032138-A |
| 成果简介 | NOVELTY - The system has a data collection module which gathers real-time and historical consumer data from diverse sources. A preprocessing unit which cleans and normalizes data to enhance analytical accuracy. A feature extraction engine identifies key influencing behavioral factors. A predictive analytics model employs machine learning (ML) techniques for consumer behavior forecasting. A recommendation system suggests personalized products and pricing based on analyzed data. A visualization dashboard presents insights in an easily interpretable format. USE - Consumer behavior prediction system using big data analytics in a digital platform e.g. electronic commerce (e-commerce), social media, search engines and online reviews. ADVANTAGE - The system leverages ML, artificial intelligence (AI) and real-time data processing, collects, processes and analyzes vast volumes of structured and unstructured consumer data from multiple sources efficiently comprising e-commerce transactions, social media interactions, browsing history, and customer reviews, to generate actionable behavioral insights, integrates adaptive predictive models, sentiment analysis and intelligent recommendation engines, enables businesses to enhance decision-making, optimizes marketing strategies, personalizes consumer engagement, improves demand forecasting and incorporates privacy-preserving mechanisms to ensure secure and compliant data processing. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for predicting consumer behavior using big data analytics. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the consumer behavior prediction system. |
| IPC 分类号 | G06N-020/00 ; G06Q-030/0201 ; G06Q-050/00 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13301 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.DEEPA P (DEEP-Individual) 2.TAMILARASI M (TAMI-Individual) 3.MAHENDHRAN P (MAHE-Individual) 4.KALPANA K (KALP-Individual) 5.SUMATHI V (SUMA-Individual) 6.DHEVIKA V P T (DHEV-Individual) 7.SHANKAR R G (SHAN-Individual) |
| 推荐引用方式 GB/T 7714 | DEEPA P,TAMILARASI M,MAHENDHRAN P,et al. Consumer behavior prediction system using big data analytics in digital platform e.g. electronic commerce, social media, search engines and online reviews, has recommendation system that suggests personalized products and pricing based on analyzed data. IN202541032138-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论