With dynamic pricing software you make better and smarter decisions.

Optimize your pricing strategies with dynamic pricing so you never lose on margin again. With SYMSON AI pricing automation tool that works with complex algorithms and artificial intelligence you automate your dynamic pricing strategy. Determining the optimum and ideal price has never been easier.

What is dynamic pricing software?


Dynamic pricing software is intelligent software that uses machine learning algorithms to show you the optimal price. It gives you the right price at the right time for the right customer (segment). With these algorithmic pricing engine you can increase your gross margin and/ or grow your revenue. Automate adjusting margins to perfection.

Traditional approaches of making pricing strategies and decisions are very labor-intensive, time-intensive and complex and are therefore often driven by hiring consultants which by no means provide all insights or advice on a large scale. SYMSON provides the technology and insights to make your company smarter, more flexible and more profitable by using your own data, experience and best practices.

Why you should use SYMSON automate pricing software





Make your organization more intelligent

At SYMSON we focus on Augmented Intelligence. This is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.

You determine the best price for your business at any given time

Thanks to enhanced automatic price adjustments and the ability to create and set business rules in your price optimization you are fully in control of the proces. You can easily set business rules that are currently applied in your pricing process.



Act on the prices of your closest competitors

If competitive prices are available, SYMSON pricing tool also includes competitive intelligence. It allows you to act on the prices of the competition for the leading products in the customer behavior.

Optimize the relation between prices and ad spent

The gross margin is affected by the prices that have been set and the amount of advertising spent. In addition to prices, SYMSON also has to optimize the ROAS.



Uses multiple data sources.

To maintain a competitive and market relevant pricing strategy it is essential to require real-time input from multiple data sources. SYMSON accurate and sophisticated data-driven pricing software uses both internal and external data sources such as transaction data, product data, stock positions and competitive data and can seseamly integrate it with your systems.

With SYMSON intelligence you can make fast, accurate, data-driven decisions driven by advanced and sophisticated machine-learning algorithms.

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Benefits of dynamic pricing management

  • Get better prices than any human could calculate.
  • Reduce the risk of human errors with machine-learning AI
  • Save your pricing team’s time on mundane tasks.
  • Customer analysis for personalised pricing
  • Identify pricing or profitability leakage

Frequently Asked Questions:

Dynamic pricing is used in both B2B as B2C markets. The leading ecommerce companies, retailers, distributors and manufacturers all use dynamic pricing to gain a competitive edge.They use competitor prices in their pricing strategies and monitor prices to gain new insights and spot opportunities to increase margin, profit and revenue. B2B companies use more personalized pricing to optimize the prices for each specific customer.

Yes, it is. At SYMSON we take the usability of our platform seriously. SYMSON is built for companies that want to optimize their prices by using their own experience, the pricing intelligence of Artificial Intelligence and data analytics. In the set up we make SYMSON compatible for your organization and pricing process.

No. At SYMSON we focus on Augmented Intelligence. This is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making and new experiences.
To create a more intelligent enterprise, executives need to leverage the strengths of both humans and computers in order to produce superior judgments. That will require a sophisticated understanding of both human decision making (the “soft side”) and evolving technology-enabled capabilities (the “hard side”).

Yes. It is a transparent system. Often, AI systems make decisions, but end users are in the dark about how conclusions were reached, and if challenged the systems themselves can’t provide any reasoning retrospectively. Our technology provides much-needed clarity to understand how and why a price prediction is made. It should not be a black box.

How it Works

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