Pricing optimization platform

Take the guesswork out of price and promotion management, and use advanced econometric and machine learning models to improve both price optimization strategy and tactical pricing decisions.

Our clients

Finance & Insurance
ML-Powered strategy analytics

Analyze and optimize your product portfolio

Predictive analytics can greatly help with strategic analysis and optimization at the level of product lines, categories, stores, business units, and entire enterprises. It provides deep insight into how your product portfolio is moving in the space of key metrics such as margins and revenues, which helps to set the correct priorities, rationalize assortments, and choose between business strategies. The science behind our pricing optimization platform allows you to analyze many factors that are essential for designing a sound product portfolio, reducing cost, and increasing profits.

ML-Powered Strategy Analytics

Differentiate your pricing strategies

Different market segments and product groups require different pricing strategies. Our data-driven solutions help you to choose between strategies such as high-low pricing and everyday low price at any level of granularity. They can also help you implement the right promotion strategy for different times of the year to solidify the customer experience and revenue generation so that the customers can be effectively targeted to ensure the business is profitable.
Competitive Market Intelligence

Deeply analyze what your competitors are doing

Big Data and statistical analysis can provide surprisingly deep insights into what your competitors are doing and what works well for them and what does not. By collecting and matching retail data about prices, discounts, and product availability across the market, we can measure the effectiveness of competitors’ actions. When your competitors run promotions, our system will know and can identify if you should do the same, thus helping to drive growth in your company, whether it be retail or manufacturing.

Pricing Optimization Starter Kits

Pricing Optimization Starter Kit for Google Cloud
Grid Dynamics and Google Cloud teamed up to create an AI-based Pricing Optimization Starter Kit using Vertex AI to leverage our combined expertise in the pricing optimization domain. Our Pricing Optimization Starter Kit is designed from the ground up for Google Cloud to efficiently leverage data processing, model development, and model management services provided by Google.
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Pricing Optimization Starter Kit for Microsoft Azure
Designed from the ground up for Microsoft Azure, this Pricing Optimization Starter Kit efficiently leverages data processing, model development, and model management services provided by Microsoft. Build a custom, AI-powered price and revenue management solution at a lower cost and greater speed than competitors using third-party solutions.
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How our software works
External and internal signals

Pricing and promotion optimization are only possible with a wide range of internal and external signals and competitive data. Our pricing optimization platform achieves high accuracy via powerful data collection and management capabilities for first-party transactional and catalog data as well as via integrations with external data sources for competitive pricing data, public events, and weather.

Interpretable models

We are known for creating the most advanced forecasting models in the industry, but we also put major emphasis on making these models interpretable and providing comprehensive diagnostic information for business users. Ensuring that users deeply understand what the system does is critical for any price optimization software. The science behind our pricing optimization platform can be shown with various demos.

Advanced econometrics

We combine data science with specialized economic models to optimize various elements of the price waterfall for different categories of products, including replenishable or seasonal goods. Our models also account for a range of complex effects such as demand cannibalization, price perception, and inventory constraints. The intelligence factor of our pricing optimization platform is second to none, and we can implement a working solution within days.

Introduction to Algorithmic Marketing
Introduction to Algorithmic Marketing
Would you like to learn more about the economic and algorithmic foundations of price and promotion optimization? We have published a 500-page book on enterprise data science that is available for free download, and there is an entire chapter on price management in it.


We develop price optimization solutions for customers from many B2B and B2C industries, including retail, manufacturing, and video games.
Learn more about solutions for your industry

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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 that were tested at scale by companies such as 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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Retail price modeling for replenishable and seasonal products
In this article, we discuss the common process by 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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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 features several advanced techniques. We start with a strategic vision of a price analytics solution, then build a demand model, and finally develop a fully automated optimization application.
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