SYMSON helps you to optimize pricing and demand forecasting with machine learning

SYMSON Pricing helps to optimize your pricing with the help of smart algorithms. The tool gives you advice on how you can improve your margin per product or per customer. The big advantage is that you can implement different pricing strategies per product so well suited if you want to experiment with different prices or if you want to automate predefined strategies.

SYMSON AI Data-driven Software

Form has been submitted

We automate and support pricing optimization and demand forecasting processes. Our platform enables you to understand AI decisions and thereby improve your gross margin.

  • Automate labour-intensive routine tasks for huge time savings.
  • Valuable insights into customer behavior such as price sensitivity and seasonality.
Trusted by these data driven companies

Geographical Pricing

What is Geographical Pricing?

Geographical pricing is the adjustment of prices based on where the buyer is located. In the past, this was mainly used to cover the shipping costs to a distant location. Now that shipping costs are less expensive, companies use geographic pricing more often for other reasons.

Recently, companies use this to align supply and demand curves and market dynamics in different geographic markets. For example, in some national markets there can be a lot of competition and in other national markets very little. This affects how much a company can get for a product.

Advantages and Disadvantages

Taking geographical differences into account | This method allows you to take regional, national or intercontinental differences into account for shipping costs. This ensures that you can optimize your systems and prizes to make sure that you do not lose any money on shipping.

Taking currency differences into account | With this pricing method you can also take into account different currencies. For example, you can display an amount in british pounds, euros and US dollars to different customers.

Taking price positioning into account | Companies may want to act different in different markets. Because competitors in various markets may vary. With geographical pricing they can easily change their position in a market with different pricing strategies.

Disadvantages | The disadvantages of this method can be that customers close to borders will be duped or that distant customers will go to the competition, due to higher costs.

Geographical Pricing in combination with other Pricing Models

Geographic pricing is best combined with other pricing strategies to maximize profits even better. Since this pricing is increasingly used today to take advantage of differences in markets in different regions, it is best to combine it with a dynamic pricing model or a competitive pricing model. These pricing models mainly rely on competition to determine the pricing of products and or services.

With SYMSON’s pricing software, companies can easily determine whether they turn on geographic pricing or not. In addition, companies can easily combine it with other pricing models and strategies. If you would like to know more, feel free to contact us!

geographical pricing
[cta_testimonials]

Download one of our white papers

Stay informed of the latest developments in the demand forecasting and demand planning market and download our white papers. Our white papers provide a diligent overview full of strategies and insights to optimize your pricing and demand forecasting

How do I choose the right pricing solution?

What you can learn in this whitepaper

  • Three different solutions to improve your pricing

  • 8 key features that make your pricing software scale

Form has been submitted

The AI platform for customer insights

We automate and support pricing and demand forecasting processes. Our features enable you to understand the AI- decisions and increase your yield.

Enlarge Image

Why SYMSON?

A summary of reasons and benefits

  • Automate labour-intensive routine tasks for enormous time savings.

  • Be fully in control of the dynamic customer demand.

  • Valuable insights into customer behaviour such as price sensitivity and seasonality.

  • Introduce machine-learning to your pricing and demand forecasting.