AI & Science
Applied Innovation.
AI isn’t a buzzword to us. It’s the foundation of our business, a center of company investment and industry leadership, an algorithmic engine that powers more 400 million prices and 1.7 billion forecasts every day.
Science + AI: The PROS Approach
Even the most powerful artificial intelligence still requires human intervention—and not to mention ingenuity. Building on 30+ years of leadership in revenue management and pricing science, the PROS team harnesses the most advanced models and algorithms to help companies compete and win.
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Pricing Optimization
- Demand Forecasting
- Explainable AI
By applying a unique architecture to these essential building blocks—inspired by neurons in the human brain—PROS scientists create neural networks designed to solve complex pricing calculations.
Inspired by the structure and function of the human brain, uses both structured and unstructured data to train the model.
PROS applies deep reinforcement learning to historical data to construct a reliable control for an organizational pricing policy.
Using multiple models to analyze data, predict outcomes, and automate processes, PROS pricing management and optimization systems deliver customer-specific, real-time prices across every channel.
Built on the Bayesian network model, PROS revenue management solutions calculate complex probabilities to give sales leaders highly accurate customer and market insights.
We support the principle that AI must be open and transparent. PROS solutions feature clear, user-friendly analytics and workflows that promote knowledge, understanding, and trust among developers and end users.
Empowered to Perform
Dynamic Pricing
Maximize Revenue
Relying on PROS behavioral analytics, forecasting, and automation, analysts can confidently capture more value per transaction with less work—and spend more time on strategy.
Buying Patterns
Armed with analysis that reveals hidden gaps and other inconsistencies in customer behaviors, organizations can discern the best pricing and selling strategies to maximize value.
Product Offerings
Leveraging PROS applied intelligence, businesses can regain control of their products—creating flexible offers based on channel or customer attributes.
Personalization
With predictive analytics and automated decisioning, sales teams can present personalized shopping experiences—including the right products, offers, and cross-selling opportunities—as customers are shopping in real-time.
Cross- and Up-sell Opportunities
Based on sales reports and predictive insights that minimize churn and uncover cross-selling opportunities, sales leaders can uncover more customer value.