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“Any sufficiently advanced technology is indistinguishable from magic.”
Arthur C. Clarke
Fraud detection & prevention
Protect your applications, services, and operations from fraud using machine learning and decision automation. Our software provides real-time fraud analytics …
Marketing spend optimization
Use advanced statistical models to optimally allocate budgets across marketing channels and measure the true contribution of each channel or campaign. Leverage…
Customer intelligence and personalization
Automatically optimize billions of micro-decisions related to customer experience, personalization, message targeting, and timing using machine learning and ad…
Trade promotion optimization
Adopt a scientific approach to trade promotion management to maximize profits, prevent losses, improve inventory turnover, and optimize customer experience. Im…
Revenue and price optimization
Take the guesswork out of price and promotion management, and use advanced econometric and machine learning models to improve both price optimization strategy …
Anomaly detection and predictive maintenance
Minimize risks in your customer-facing, manufacturing, and IT management processes using machine learning.
Supply chain optimization
Optimize hundreds of supply chain and pricing parameters using artificial intelligence, predictive models, and simulations. You can simplify demand planning an…

A Rapid Response to COVID-19 Supply Chain and Market Shocks

In this white paper, we provide practical recommendations to technology and business leaders on how advanced data analytics and engineering capabilities can be leveraged to rapidly and efficiently respond to the COVID-19 disruption

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A Guide to dynamic pricing algorithms
  • This article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples
  • the theoretical details can be found in the referenced articles.
read moreThis article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples; the theoretical details can be found in the referenced articles.

A Guide to dynamic pricing algorithms

  • This article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples
  • the theoretical details can be found in the referenced articles.
read moreThis article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples; the theoretical details can be found in the referenced articles.
  • This article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples
  • the theoretical details can be found in the referenced articles.
read moreThis article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas, and were tested at scale by companies like Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples; the theoretical details can be found in the referenced articles.
Retail price modeling for replenishable and seasonal products
read moreIn this article, we discuss the common process with which retailers set their pricing, the challenges that they are facing in the area of price and promotion management, and how they incorporate big data analytics and machine learning into their pricing strategy to achieve stable growth and competitive advantage.

Retail price modeling for replenishable and seasonal products

read moreIn this article, we discuss the common process with which retailers set their pricing, the challenges that they are facing in the area of price and promotion management, and how they incorporate big data analytics and machine learning into their pricing strategy to achieve stable growth and competitive advantage.
read moreIn this article, we discuss the common process with which retailers set their pricing, the challenges that they are facing in the area of price and promotion management, and how they incorporate big data analytics and machine learning into their pricing strategy to achieve stable growth and competitive advantage.
Predictive analytics for promotion and price optimization
read moreThis article describes a reference implementation of a price and revenue management tool that showcases the main capabilities of AI-based price optimization software and also features several advanced techniques. We start with a strategic vision of a price analytics solutions, then build a demand model, and finally develop a fully automated optimization application.

Predictive analytics for promotion and price optimization

read moreThis article describes a reference implementation of a price and revenue management tool that showcases the main capabilities of AI-based price optimization software and also features several advanced techniques. We start with a strategic vision of a price analytics solutions, then build a demand model, and finally develop a fully automated optimization application.
read moreThis article describes a reference implementation of a price and revenue management tool that showcases the main capabilities of AI-based price optimization software and also features several advanced techniques. We start with a strategic vision of a price analytics solutions, then build a demand model, and finally develop a fully automated optimization application.

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