Predictive analytics and forecasting
AI for demand forecasting, anomaly detection, risk scoring, and time-series prediction.
Predictive AI turns historical data into forward-looking insights. Demand forecasting, anomaly detection, churn prediction, and risk scoring - the models learn patterns and extrapolate. For businesses with time-series data (sales, usage, sensor readings), this unlocks proactive decisions instead of reactive ones.
I build predictive pipelines that fit your data and your questions. For Barnsley businesses, that might mean demand forecasting for inventory, anomaly detection on production metrics, or churn prediction for subscription services. The work is feature engineering, model selection, and integrating predictions into your workflows - not just building models in isolation.
Example AI integrations
AI services and tools I've integrated for Barnsley businesses include:
Arize
ML observability and monitoring for production models. For predictive analytics, it monitors model performance and drift in production.
Visit siteWhyLabs
AI monitoring and data drift detection. For predictive analytics, it detects data drift and monitors model health.
Visit siteFiddler
ML explainability and model monitoring. For predictive analytics, it explains predictions and monitors model behaviour.
Visit sitePandas AI
Natural language to dataframe queries for analytics. For predictive analytics, it lets analysts explore and forecast with natural language.
Visit siteProphet
Time-series forecasting for trend and seasonality. For predictive analytics, it forecasts demand and time-series with trend and seasonality.
Visit siteHugging Face
Time-series and tabular models for prediction. For predictive analytics, it provides pre-trained forecasting and tabular models.
Visit siteTypes of Barnsley businesses I work with on AI
- Manufacturing and engineering - Process documentation, quality checks, supplier comms, and internal knowledge bases. Often starting with one high-friction workflow.
- Professional services - Law, accountancy, consulting. Document review, contract extraction, client intake, and research automation.
- B2B SaaS and tech companies - Adding AI features to existing products, building internal tools, or prototyping new ideas with a clear path to production.