Recommendations based on Historical Data
Food for Thought
AI systems can analyze past patterns and trends to predict or suggest future actions or preferences.
Example
An AI application analyzes past sales data to recommend which leads sales teams should focus on for higher conversion rates.
Key Questions
- What historical data is available and relevant to the desired outcome?
- What patterns or trends within this data can be identified and analyzed?
- What specific actions or preferences are we trying to predict or recommend?
- How can the AI's recommendations be presented in a useful and actionable way?