AI service
Machine Learning & Predictive Analytics
Models that forecast, recommend, score and detect — trained on your data.
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What is machine learning?
Machine learning is building models that learn patterns from historical data to predict future outcomes. Unicorn Softech develops custom ML models for forecasting, recommendations, scoring, anomaly detection and classification, and deploys them as APIs your products can call.
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What it looks like
How it works
Machine Learning & Predictive Analytics in 5 steps
- 01Historical data
- 02Train model
- 03Validate
- 04Deploy API
- 05Prediction
What we deliver
What you get with Machine Learning & Predictive Analytics
Data preparation
Cleaning, labelling and feature engineering on your raw data.
Model development
Training and comparing models, from gradient boosting to deep learning.
Forecasting
Demand, sales, inventory and capacity predictions.
Recommendations
Personalised product, content and next-best-action suggestions.
Anomaly & fraud detection
Flagging unusual transactions, behaviour and sensor readings.
Model serving
Low-latency APIs with monitoring for drift and accuracy.
Common use cases
- Sales and demand forecasting
- Customer churn prediction
- Product recommendations
- Credit and risk scoring
- Predictive maintenance
Tools and technology
We choose per project. These are the tools we use most for machine learning & predictive analytics.
Python- PyTorch
- TensorFlow
- scikit-learn
- XGBoost
- Azure ML
- AWS SageMaker
- MLflow
- Data preparation
- Model development
- Forecasting
- Recommendations
- Anomaly & fraud detection
- Model serving
- Sales and demand forecasting
- Customer churn prediction
- Product recommendations
- Credit and risk scoring
- Predictive maintenance
FAQ
Machine Learning & Predictive Analytics: common questions
How much data do I need for machine learning?
It depends on the problem. Some tabular models work well with a few thousand good rows; deep learning needs much more. We start with a data audit to tell you what is feasible.
How is machine learning different from generative AI?
Classic machine learning predicts numbers or categories from structured data. Generative AI produces text, images or code. Many products benefit from both.
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Let's talk about Machine Learning & Predictive Analytics
Book a free 60-minute consultation. You'll leave with a feature list, a rough estimate and a practical first step — no obligation.
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