Artificial Intelligence
Machine Learning
Custom ML models trained on your enterprise data, delivering predictions and automation that outperform generic off-the-shelf solutions.
ML That Understands Your Business
The difference between generic AI features built into software and custom machine learning is the difference between a general forecast and one trained on your specific demand patterns, seasonality, and market dynamics.
We build models that ingest your D365 F&O data (transaction history, supplier performance, production metrics, customer behaviour) and produce predictions and recommendations specific to your business context.
Our AI-first methodology means we can develop, train, and validate models significantly faster than traditional data science teams. AI assists with feature engineering, model selection, and hyperparameter tuning, while experienced practitioners ensure the models are sound and the results are actionable.
Applications
Demand Forecasting
Predict future demand with models trained on your historical sales data, seasonality patterns, promotional calendars, and external factors. Feed predictions directly into D365 master planning for automated procurement and production scheduling.
Anomaly Detection
Identify unusual patterns in financial transactions, production metrics, supply chain performance, and system behaviour. Catch fraud, quality issues, and operational problems before they escalate.
Pricing Optimisation
Dynamic pricing models that consider demand elasticity, competitor positioning, inventory levels, and margin targets. Recommendations that maximise revenue while maintaining market competitiveness.
Predictive Maintenance
Models that predict equipment failures before they happen, based on sensor data, maintenance history, and operational patterns. Schedule maintenance proactively and avoid costly unplanned downtime.
Customer Churn Prediction
Identify customers at risk of leaving based on ordering patterns, support interactions, and engagement metrics. Enable proactive retention actions before you lose the relationship.
Inventory Optimisation
ML-driven safety stock calculations, reorder point optimisation, and ABC analysis that adapts to changing demand patterns, reducing carrying costs while maintaining service levels.
See What ML Can Do With Your Data
Let's assess your data landscape and identify the highest-value machine learning opportunities in your business.
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