Forecasting
Demand, sales, inventory, and cash-flow forecasts with confidence ranges, refreshed as new data lands.
Solutions · AI & Automation
Machine Learning & Predictive Analytics
Dashboards tell you what happened. Machine learning tells you what is likely to happen next, such as which customers will leave, how much stock you will need, or which transaction looks wrong. Symetriz builds those models on Azure and keeps them accurate in production.
The problem
Always looking in the rear-view mirror
Planning on gut feel
Demand, cash flow, and staffing are planned from last year's numbers and instinct.
How we fix it: Forecasts built on your history and the drivers behind it.
Problems found too late
Churn, fraud, and equipment failures are noticed after the damage is done.
How we fix it: Risk scores and anomaly alerts while there is still time to act.
Models that quietly stop working
A model that was accurate at launch degrades as the business changes, and nobody notices.
How we fix it: Monitoring and retraining as part of the service.
The solution
Predictions you can act on, and keep trusting
- Forecasting, churn and risk scoring, and anomaly detection on your data
- Built on Azure Machine Learning or Databricks, inside your tenant
- MLOps that monitors accuracy and retrains models before they drift
What we model
Each model is tied to a decision someone makes, so its value can be measured.
Classification & risk scoring
Churn likelihood, credit and fraud risk, and lead scoring, with the main factors behind each score shown.
Anomaly detection
Unusual transactions, sensor readings, or usage patterns flagged as they happen, with alerts routed to the right team.
MLOps from day one
Getting a model into production, and keeping it there, is most of the work.
Feature pipelines on your lakehouse
Training data built from your Data Lake, Databricks, or Microsoft Fabric estate, so the model sees the same data the business does.
Deployment & integration
Models served as APIs or batch scores, delivered into Power BI, your CRM, or the application that needs them.
Monitoring & retraining
Accuracy and data drift tracked continuously, with retraining and a human sign-off before a new version replaces the old one.
Ready when you are
What would you decide differently if you could see it coming?
Tell us the decision and the data behind it. We will assess whether a model can help, and how accurate it is likely to be.