Commodity correlation isn’t static—and ignoring that can blow up your portfolio. Learn how to track it and adjust your risk ...

Emotional Intelligence In Price Optimization Strategies Most pricing models rely on macroeconomic trends and competitor pricing, making them more about the retailer than the customer.

Hotel Room Price Optimization with PyGAM. Contribute to gurezende/Hotel-Price-Optimization development by creating an account on GitHub.

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀 ...

PROS Price Optimization and CPQ solutions ideal for organizations seeking to achieve exponential efficiency and transform their business models in the age of AI PROS Holdings, Inc. (NYSE: PRO), a ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

The past three decades have witnessed the rapid development of nature-inspired algorithms. Among these, population-based optimization algorithms have gained significant popularity due to their ...

Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these ...

AI-powered pricing optimization isn’t just about integrated price and promotion optimization, it’s also about creating a holistic approach to retail merchandise management. Integrating lifecycle ...

To maximize the profit of VPP, a data-driven price forecasting method is proposed to extract useful information from historical datasets based on a novel LSTM-Transformer-combined neural network. Then ...