Identify relevant differences
Data reveals where customers, situations or products differ.
Use data on demand, supply and commercial goals to inform pricing decisions.
Fixed pricing rules have limited ability to respond to changing circumstances. At the same time, an opaque pricing model can lead to unwanted outcomes. Dynamic pricing uses data and rules to determine an appropriate proposed price.
An application only becomes meaningful when it fits a specific task and the information available for that task.
Pricing strategy, explainability and human oversight remain part of the design. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Data reveals where customers, situations or products differ.
The outcome supports a specific commercial decision or action.
Indicators chosen in advance show whether the application makes a difference.
We identify the decision or action to focus on.
We assess the available customer, product or transaction data.
We choose an appropriate, explainable analytical method.
We compare the outcomes with the current approach.
We make the outcomes actionable and monitor results and side effects.
This service is relevant to retailers, platforms and service providers with scope to adjust their prices. The specific set-up depends on the process, the available data and the risks involved in its use.
We therefore start with a clearly defined application and only expand it once the initial set-up works in practice.
This service addresses the following question: how can data and rules be used to determine an appropriate price? That is what dynamic pricing does. Exactly how it works depends on the process and the data available.
The service may be relevant to retailers, platforms and service providers with flexibility in their pricing. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question that needs to be addressed, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the problem effectively and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it performs and adapt the solution when the data, usage or context changes.
Want to explore where it makes sense to start with dynamic pricing? Together, we'll map out the challenge, the available information and the conditions to consider.