{"id":22252,"date":"2021-03-16T07:05:36","date_gmt":"2021-03-16T07:05:36","guid":{"rendered":"https:\/\/codeandpepper.com\/?p=22252"},"modified":"2023-12-21T09:57:16","modified_gmt":"2023-12-21T09:57:16","slug":"price-optimisation-machine-learning","status":"publish","type":"post","link":"https:\/\/codeandpepper.com\/price-optimisation-machine-learning\/","title":{"rendered":"How Machine Learning is Changing Pricing Optimization"},"content":{"rendered":"\n

FinTech apps heavily rely on connecting with customers. They thrive by offering custom services to users bored and tired by classic banking. The more you know about your customers, the more you can give to them. The same works for prices \u2013 price optimization through machine learning is the ultimate tool for growing revenues<\/strong>. How is it done and what can you learn from existing examples?<\/p>\n\n\n\n\n\n\n\n

\"Machine<\/figure><\/div>\n\n\n\n

Setting up the right price is tricky. Especially with a new product, and when you want to attract people, and highlight its value. Limiting access by building a high wall with the \u201cExpensive\u201d phrase on it doesn\u2019t always pay off. That\u2019s when<\/strong> machine learning algorithms come in<\/strong>. By analysing massive amounts of data, you can establish a competitive pricing strategy<\/strong>. How?<\/p>\n\n\n\n

How can you use machine learning to make optimal pricing decisions?<\/h2>\n\n\n\n

There are few clear benefits that go beyond optimizing pricing models<\/strong>. Implementing the solutions below will transform the product almost in real-time. Not only if you\u2019re an established company with a hit product. They are valuable for startups as well. Think of them as a very practical guide towards designing an app from the get to, with specific features and customer-facing solutions in mind.<\/p>\n\n\n\n

This is how you can improve pricing models and management revenue:<\/strong><\/p>\n\n\n\n