Trendify: A Smart E-Commerce Platform

In this article, we explore all about an innovative e-commerce application for all data analysis and action to be taken in consumer behaviour, sales statistics, and business overall activity performance. Using advanced analytics, machine learning algorithms, and interactive data visualization techniques, the application provides real-time insights into key business metrics such as customer preferences, top-selling items, purchase patterns, customer reviews, order history, revenue growth, and inventory management. The platform empowers businesses by collating real-time data processing and predictive analytics to identify emerging market trends,helping to optimize pricing strategies, forecast demand and improve customer engagement. Fourthly, the API enables seamless data aggregation from multiple sources, thereby improving decision-making. In this paper we describe the technical architecture, data processing workflows and visualization methodologies that were employed in the application. Moreover, it enhances customer experiences, and optimizing productivity. This application helps organizations to act on the data and dollar of knowledge to achieve data-driven decisions, enhance customer happiness, optimize operations, and stay ahead in the dynamic digital market by convertingraw e-commerce data into valuable insights.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15239558
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
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article

Trendify: A Smart E-Commerce Platform

Zenodo (CERN European Organization for Nuclear Research)
Customer churn and segmentation
article

Trendify: A Smart E-Commerce Platform

article en

Abstract

In this article, we explore all about an innovative e-commerce application for all data analysis and action to be taken in consumer behaviour, sales statistics, and business overall activity performance. Using advanced analytics, machine learning algorithms, and interactive data visualization techniques, the application provides real-time insights into key business metrics such as customer preferences, top-selling items, purchase patterns, customer reviews, order history, revenue growth, and inventory management. The platform empowers businesses by collating real-time data processing and predictive analytics to identify emerging market trends,helping to optimize pricing strategies, forecast demand and improve customer engagement. Fourthly, the API enables seamless data aggregation from multiple sources, thereby improving decision-making. In this paper we describe the technical architecture, data processing workflows and visualization methodologies that were employed in the application. Moreover, it enhances customer experiences, and optimizing productivity. This application helps organizations to act on the data and dollar of knowledge to achieve data-driven decisions, enhance customer happiness, optimize operations, and stay ahead in the dynamic digital market by convertingraw e-commerce data into valuable insights.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
Customer churn and segmentation
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Trendify: A Smart E-Commerce Platform · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS