Differences Between AI, Automation, and Analytics CAIPM Practice Questions (Page 7)

Questions 31–32

1. 31expert · hard

   A logistics company has an automated system that assigns delivery routes based on fixed rules (e.g., shortest distance). They want to reduce fuel costs, which are affected by traffic, weather, and road conditions. They have historical data on these factors. They also need to ensure that the system can explain why a route was chosen to comply with regulatory requirements. Which approach should they take?

   • AUse a machine learning model that incorporates traffic and weather data, but also provides feature importance explanations for each route decision.
   • BKeep the rule-based system and add analytics to report on fuel consumption.
   • CUse automation to manually adjust routes based on daily traffic reports.
   • DReplace the rule-based system with a deep learning model that predicts optimal routes and automate the route assignment.
   Reveal Solution Discussion Select an answer first
2. 32application · medium

   A logistics company wants to improve delivery route efficiency. They have historical GPS and delivery time data. They want to automatically adjust routes in real time when traffic conditions change, and also provide managers with a dashboard showing why certain routes are consistently slower. Which combination of technologies best meets these needs?

   • AUse analytics to build a predictive model and manually update routes each morning.
   • BUse AI to predict traffic patterns and recommend optimal routes, and automation to execute route changes.
   • CUse automation to re-route vehicles based on fixed rules and analytics to generate weekly reports.
   • DUse analytics to identify slow routes and automation to send alerts to drivers.
   Reveal Solution Discussion Select an answer first