Energy & Utilities

Traditional, correlational, Machine Learning approaches are often not sufficiently trusted or capable enough to address some of the biggest challenges across Marketing, Customer Journey, Exploration & Renewables

Traditional machine learning approaches often fail to address critical business questions

Correlation, not causation

Spurious correlations lead to bad decisions

They struggle to answer why

And are often perceived as “black boxes”

Prediction, not next best action

For example, they can predict if a customer will churn or not but can’t recommend the optimal next best action to retain the customer

Do these questions sound familiar?

Energy & Utilities run on causal questions

Marketing Optimization

What are the causal drivers of campaign performance? How well did it actually perform?
How do I attribute customers to the right channels while accounting for confounders in the data?
What are the next best actions (interventions) to improve campaign performance?
What is the incremental impact of increasing allocation on a given channel?
Based on my budget, what is the optimal allocation of investment across channels (e.g.: media, shopper marketing, digital, and mail)?

Customer Journey

What are the best actions (interventions) to reduce churn at an individual or cohort level?
What is the right engagement strategy that balances customer experience and efficiency of payment plans

Renewables

What is the optimal configuration of wind turbines that optimize energy output?
What is the right balance between selling & storing energy from solar farms?
What are the root causes of inefficiencies in energy output, and what are the optimal actions (interventions) to mitigate those?

Exploration

What are the root causes of failures of equipment?
What is the optimal configuration (interventions) to maximize yield while reducing failures?

Leverage decisionOS

the first operating system for decision making powered by Causal AI, to address all those causal questions

Causal AI

To move beyond traditional ML and into a world where you can provide actionable recommendations by leveraging state of the Causal AI tools and methods.

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DecisionApp Building

Seamlessly surface recommendations to your business partners as expressive, tailored and interactive applications focused on decision-making.

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DecisionOps

For the deployment and monitoring of decision workflow, trusting those workflows in production and measuring the causal impact of your decision-making.

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