Solutions

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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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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.

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.

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.

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In 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

In 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.

In 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.

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This 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

This 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.

This 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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