Retail sales forecasting has long been a cornerstone of operational success in the industry, guiding businesses in optimizing ...

In the working paper, published on December 31, Purnima Shaw and RK Sinha employ a technique developed by Sinha in a previous ...

In the fast-paced retail sector, predictive analytics is transforming strategies with precise demand forecasting, ...

Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...

It’s just a matter of recognising the urgency, and stop talking about an issue as if the evidence is still open to question.

Investing your hard-earned money can be daunting. You want to make smart decisions and do everything to set yourself up for ...

Xiao, J. (2024) Modeling Influencing Factors in U.S. Film Success (1940-2024). Modern Economy, 15, 1319-1334. doi: 10.4236/me ...

Generative AI is revolutionising chip design, streamlining processes that once took years and making them faster, more ...

In the rapidly evolving landscape of cloud computing, the demand for scalable solutions within the Amazon Web Services (AWS) ecosystem has reached unprecedented heights. With a growing focus on ...

Patriots rookie Ja'Lynn Polk reflected on his frustrating rookie season in an interview with MassLive on Monday.

Machine learning projects showcasing classification, regression, and time series forecasting techniques. Includes practical examples in predicting wine quality, analyzing employee attrition, and sales ...

The icing on the cake is Jupiter—the planet of expansion and growth—occupying its strongest placement in the sky, the sign of ...