IEEE

Optimizing Inventory Management in Retail Companies Through Sales Prediction Using XGBoost

Abstract: This study proposes a novel approach to optimizing inventory management in retail companies by integrating a machine learning-based demand forecasting model using the XGBoost algorithm.

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...