Prescriptive Analytics and Next Best Action

Prescriptive Analytics & Next Best Action

A large number of AI, Deep Learning and Machine Learning applications focus on predicting values or events. This is called Predictive Analytics. In addition, Trendskout’s AI software also offers Prescriptive Analytics.

Prescriptive analytics take things one step further than predictions: they add an extra component aimed at suggesting concrete Next Best Actions to achieve your business objectives.

Take for example a business account manager, who can use Trendskout’s AI platform to receive suggestions for next best action for client follow-up, based on his or her personal targets. Prescriptive analytics work just like all other AI features on the Trendskout platform through the three-step AI-flow.

Prescriptive Analytics through Trendskout’s AI software are carried out using three additional steps, on top of standard input data linking.

Practical business applications

- Recommendations for Next Best Actions throughout your sales process
- Deciding follow-up actions on a web page volgende actie
- Definition of content and style of marketing actions


artificial intelligence

Powerful Cloud-AIOut-of-the-box with an intuitive interface, designed for non-data scientists


Prescriptive Analytics in the AI Flow

1. Connect

2. Analysis

Prescriptive Analytics and Next Best Action

Prescriptive Analytics en Next Best Action is one of the available Trendskout AI Flow analysis-functions.

3. Automate


is one of the available Trendskout AI Flow analysis-functions.

Training data

Just like supervised learning algorithms, prescriptive analytics needs training data to learn insights and connections and then process them into a model. With prescriptive analytics the data is analyzed in a fundamentally different way than with classification, which focuses on predicting a value or event. In the background, Trendskout uses different types of algorithms such as neural networks and gradient descent trees combined with propensity modeling. As an evaluation criterion during the Auto ML & Hypertuning step, historical data is used to evaluate the accuracy of the prescriptions.


Real-time prescriptions

After the training phase, and associated hypertuning, the winning model is used to generate prescriptions. For example, the next best sales action for an account manager.


Trendskout + Prescriptive analytics & Next Best Action

Prescriptive analytics is one of the AI ​​functions in the Trendskout analysis step. Like other analysis functions, an intuitive drag & drop interface is used for various input possibilities. After the analysis step, automate actions can be added, for example, the prescriptions can be saved in a calendar system, CRM, e-mailed or otherwise accessed via API.

Ready to discover all features during a live demo - with your data?Get in touch and we will be happy to show you the direct business value of artificial intelligence for your organisation.