AI & Analytics Glossary
The AI and analytics ideas behind modern logistics software — machine learning, predictive and prescriptive analytics, document AI, agents and anomaly detection.
8 terms in this category
106 terms total
A
AI Agent
Software given a goal that plans and carries out multi-step tasks on its own, using data and tools.
Anomaly Detection
AI that flags data points or events that deviate from the norm — used for fraud, errors and risk.
D
Digital Twin
A live virtual model of a physical asset or operation, kept in sync with real data for monitoring and simulation.
L
LLMLarge Language Model
An AI model trained on vast text that can understand and generate language — the basis of document AI and assistants.
M
Machine Learning (ML)
A branch of AI where systems learn patterns from data to make predictions or decisions, rather than following fixed rules.
O
OCROptical Character Recognition
Technology that converts images of text into machine-readable text — the precursor to modern Document AI.
P
Predictive Analytics
Using historical data and models to forecast what is likely to happen next.
Prescriptive Analytics
Analytics that recommends the best action to take, going beyond predicting what will happen.
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