At InfoMaker Inc., we solve complex business challenges with advanced machine learning techniques, delivering insights that drive growth and efficiency.

Predicting Sales Volume Needs: Short and Long Term

Using time series algorithms (ARIMA, SARIMA, Prophet), we forecast sales to help businesses minimize stockouts, optimize production, and improve cash flow.

Identifying Product Defects: Neural Networks, Tree, and Regression Models

Our models detect the root causes of product defects by analyzing production data, enabling better quality control and reducing warranty claims.

Optimizing the Supply Chain: Mathematical Optimization (LP, MIP, IP)

We apply optimization techniques to streamline supply chains, minimize logistics costs, and optimize inventory and resource allocation.

Customer Segmentation and Behavioral Analysis: Cluster Analysis

Our cluster analysis segments customers based on behavior, enabling personalized marketing strategies that increase retention and loyalty.

Maximizing Portfolio Assets

We use optimization models to maximize asset allocation in portfolios, helping businesses achieve better returns and reduce risk.

Maximizing Donations and Marketing Campaigns

Through machine learning and predictive analytics, we enhance donation strategies and optimize marketing campaigns for nonprofits, ensuring maximum impact.