Impact of Big Data on E-Commerce Websites

Bhartia, Divyang; Nath, Mausumi Das

doi:10.1201/9781003277071-9

Cited by 1 publication

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“…By leveraging advanced analytics techniques such as predictive modelling [34], sentiment analysis [35] and recommendation engines [36], businesses can learn consumer preferences, forecast market trends and personalise the shopping experience. This data-driven approach enables agile decision-making, thus allowing businesses to quickly adapt to market changes and stay ahead of the competition [31], [37]. Through big data analytics, e-commerce companies can leverage the vast amount of data available to make informed decisions, optimise pricing strategies, and improve customer satisfaction, ultimately leading to improved performance and a stronger market position.…”

Section: Challenges and Opportunities In Big Data Analysis For Demand...mentioning

confidence: 99%

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Akadji,

Dewantara

2024

WSIST

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The Indonesian e-commerce sector has witnessed exponential growth in recent years, necessitating effective strategies for predicting product demand to meet consumer expectations and stay competitive. Leveraging big data analytics offers a promising solution to this challenge, allowing businesses to harness vast volumes of data to forecast demand accurately. This research explores the utilization of big data analysis for product demand prediction in Indonesian e-commerce through a qualitative analysis approach. Interviews with e-commerce executives, data scientists, and industry experts revealed key themes, including data quality and integration, analytical techniques and tools, and organizational culture and capability. Results highlight the challenges, opportunities, and best practices associated with leveraging big data analytics for demand prediction in Indonesian e-commerce, providing valuable insights for businesses striving to optimize their predictive capabilities and enhance decision-making processes in this dynamic and rapidly evolving market.

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Section: Challenges and Opportunities In Big Data Analysis For Demand...mentioning

confidence: 99%