BUSINESS USE CASES
What business question are you trying to answer?
Start with the question. Then choose the model family that fits the decision you need to make.
How much will we sell next month?
Use historical patterns to predict sales, demand, staffing needs or workload.
Forecasting / Time Series
Which customers are likely to churn?
Estimate the probability of a defined outcome such as churn, conversion, default or response.
Classification
What should we recommend to each customer?
Rank products, content or offers based on behaviour, similarity and preference signals.
Recommendation Systems
What kinds of customers do we have?
Discover meaningful groups when the categories are not known in advance.
Clustering / Segmentation
Is something unusual happening?
Identify abnormal transactions, sensor readings, operational events or user behaviour.
Anomaly Detection
What can we learn from documents or text?
Classify, extract, search, summarize, route or generate language when text is central to the workflow.
NLP / Generative AI
How much will a value change?
Estimate continuous quantities such as price, revenue, cost, duration or demand.
Regression
Can we detect defects from images?
Analyze images for classification, quality control or visual anomaly detection when image data is available.
Computer Vision
The same model is not right for every company.
A useful AI project depends on the business objective, available data, implementation constraints and expected value. These examples are starting points — not promises that a particular model will fit your organization.
