Grid Dynamics recognized as Google Cloud leader by Everest Group

Trade promotion optimization

Adopt a scientific approach to trade promotion optimization to maximize profits, prevent losses, improve inventory turnover, and optimize customer experience. Improve performance and enhance your competitive edge using advanced data-driven models.

Our clients

Retail
Hi-tech
Manufacturing
Finance & Insurance
Healthcare

How our trade promotion solutions work

How our trade promotion solutions work
B2C and B2B promotions
Our solutions work for both B2C and B2B environments. We use methods that can process large amounts of clickstream data in B2C settings, and we use advanced techniques to handle sparse data in B2B setups. The complex data come in, but we manage it well to ensure your company has the most effective trade spend.
Comprehensive optimization
We provide a comprehensive toolkit to optimize the parameters of existing trade promotions, identify new promotion opportunities, and jointly optimize promotion calendars for entire categories. This ensures that the trade promotion optimization process truly helps to improve the business performance of the company, as opposed to only boosting selected metrics and negatively impacting related products and customer experiences.
Strategic and real-time decisions
We build tools that optimize promotion calendars for several months ahead, but we also develop components that can dynamically optimize and personalize promotions for micro-moment marketing. This enables the integration of smart price promotion management with online product catalogs, search engines, point of sale systems, and more. We ensure that all the data coming in your trade promotion system drive an increase in your sales.
Wide range of signals
We put considerable emphasis on data completeness and data quality. Our solutions for trade promotion optimization usually integrate with third-party data providers or include web scraping components to collect competitor pricing, information about the customer base, macroeconomic data, and more. Comprehensive data collection from your business sales along with market data from other companies helps to provide long-term sustainability and business growth.
Introduction to Algorithmic Marketing
Book
Introduction to Algorithmic Marketing
Would you like to learn more about the economic and algorithmic foundations of trade 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 and promotion management in it.

Industries

We develop trade promotion optimization solutions for customers from many B2B and B2C industries including retail, manufacturing, CPG, and video games
video game industry icon
Video Games
We help technology companies and video game publishers to understand their markets and the structure of the demand to optimize prices and promotions. We have extensive experience in handling international sales data and implementing trade promotion optimization for multiple countries, which is typically the case for technology and video game companies.

Read More

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. This article can be used as a blueprint for trade promotion optimization processes and solutions.
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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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