Overview
At a glance
Key concept
What is Prescriptive AI?
Most organizations use data to understand what happened or to predict what might happen. Prescriptive AI goes one step further and answers a harder question:
“Given what’s happening and what’s likely to happen, what should we do next?”
By combining data, predictive insights and mathematical optimization, it recommends the best course of action while respecting real-world constraints such as budgets, capacity, equity and time.
Typical decision challenges
How do we allocate scarce staff, vehicles or financial resources?
How can we reach the most beneficiaries with a limited budget?
Where should we locate our facilities or services?
How should we distribute food, medicines or other essential supplies?
Which routes minimize travel time, costs or emissions?
How can we organize the collection of waste, donations or reusable products?
What is the best plan when demand or supply is uncertain?
Potential societal impact
Suitability for Prescriptive AI
Organizational commitment
Implementation potential
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