Month: August 2025

Unraveling Buyer Behavior: Using AI for Customer Behavior Analysis in E-commerce Stores
Online Computer Store

Unraveling Buyer Behavior: Using AI for Customer Behavior Analysis in E-commerce Stores

- by Marina Bogart

In a competitive e-commerce market, online computer stores in Indonesia face a major challenge: how to turn visit and click data into meaningful insights? Understanding what customers are looking for, why they buy, and what drives them away is key to increasing sales and building loyalty. However, with millions of data points generated daily, manually analyzing customer behavior is an impossible task.

This is where AI tools for analyzing customer buying behavior emerge as indispensable tools. AI can process and interpret data at scale, providing e-commerce stores with in-depth, actionable insights to drive business growth.

Difference Between Conventional Analytics and AI

Traditional customer behavior analytics, such as Google Analytics, provide basic metrics like number of visits, time on site, and most viewed pages. This provides a snapshot of what’s happening.

AI, on the other hand, uses machine learning to answer “why” and “how” questions in a more in-depth way. AI …

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Defining the Future: Leveraging Predictive Analytics and AI for Talent Needs Forecasting
Business Computer Systems

Defining the Future: Leveraging Predictive Analytics and AI for Talent Needs Forecasting

- by Marina Bogart

In a dynamic job market, the ability to look ahead is an invaluable competitive advantage. For companies in Indonesia, this means shifting from reactive recruitment—filling vacancies when employees leave—to proactive recruitment—preparing teams for future business needs.This is where the role of predictive analytics and AI for forecasting talent needs becomes crucial.

By combining internal and external data, these powerful tools enable Human Resources (HR) teams to go beyond guesswork and instead forecast talent needs with data-driven precision.This is a fundamental shift that transforms recruitment into a strategic, future-oriented business function.

Difference Between Traditional and Predictive Forecasting

Traditional talent demand forecasting is typically based on simple historical data and intuition. Analysts will look at last year’s employee turnover rate and project the same figure into the following year. This method has significant limitations: it fails to account for market fluctuations, projected business growth, or emerging industry trends.

Predictive analytics and AI …

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