Generative Artificial Intelligence (AI) is attracting a lot of interest as an innovation platform. How will generative AI be used to create value? How will that value be priced? Artificial Intelligence (AI) will rewrite the software business as we know it, including how we understand value and use it to price. The model driven approach to pricing will accelerate rapidly, fed by AI generated models, as the author explains.
With the ability to analyze vast amounts of data in real time, Artificial Intelligence (AI) algorithms offer the potential to identify optimal pricing for products or services at any given time. However, as with any new technology, there are potential drawbacks that businesses must be aware of to ensure effective and ethical implementation. In this article, the author explores the benefits and drawbacks of Price Optimization using AI algorithms, as well as solutions businesses can implement to navigate the challenges and maximize the benefits.
In this article, the authors explore Artificial Intelligence, Machine Learning and Algorithms, show real examples of applications in the world of Pricing and Revenue Management, and examine the benefits, challenges, and points of caution to consider when using these “new” technologies.
Artificial Intelligence (AI), and particularly Machine Learning (ML), will change the game for pricing. But AI’s just the tip of the iceberg. You need first to make sure that the foundations of your business - your pricing strategy and implementation plan, data, workforce, etc. - are solid so you can introduce AI constructively, as the authors explain.