ML models that forecast demand, flag risks before they hit, and surface patterns your competitors are missing.
Descriptive analytics tells you what happened. Predictive analytics tells you what is about to happen. That difference is worth millions for businesses that act on it. When you can see a demand spike three weeks out, a customer about to churn, or an anomaly forming in your supply chain, you have time to respond instead of scramble.
We build machine learning models that are practical, not academic. Every model we deliver is tied to a specific business decision, validated against real data, and deployed in a way your team can actually use. We do not hand you a Jupyter notebook and wish you luck. We deliver production-ready systems with clear documentation and monitoring built in.
Our team brings deep experience in statistical modeling, feature engineering, and model deployment across industries including retail, healthcare, education, and logistics.
Time-series models that predict sales, revenue, and demand with enough lead time for your team to adjust inventory, staffing, and budgets accordingly.
Models that identify which customers are likely to leave and why, giving your retention team a chance to act before the cancellation email arrives.
Automated monitoring that flags unusual patterns in transactions, system performance, or operational data before they become costly problems.
Rigorous testing infrastructure that tells you which changes actually move the needle and which ones just look good in a presentation.
Data-driven segments and lead scoring models that help your sales and marketing teams focus their energy where it will have the biggest impact.
Classification models that assess risk across lending, insurance, fraud detection, or any domain where early identification saves money.
Personalization models that suggest products, content, or actions to your users based on their behavior and preferences.
Ongoing performance tracking and automated retraining pipelines so your models stay accurate as your data evolves.
You have years of transaction, customer, or operational data sitting in a warehouse. You know there are patterns in it, but you do not have the team or the tools to extract them.
You are always responding to problems after they happen. Churn spikes, inventory shortages, and revenue dips hit you by surprise. You want early warning systems that give you time to act.
You want to add recommendations, predictions, or personalization to your product but do not have a data science team in-house. You need models built, deployed, and maintained.
We work with your team to define the business question, the decision it supports, and the success criteria. A model is only useful if it answers the right question.
We clean and transform your raw data into the inputs the model needs. This step often determines whether a model succeeds or fails, and we invest the time it deserves.
We train, test, and compare multiple approaches, selecting the one that balances accuracy, explainability, and performance for your specific use case.
Models are deployed into your production environment with monitoring dashboards that track accuracy, drift, and performance over time.
The Figment Forge dashboard includes ML-driven sales forecasting that helps a retail client anticipate demand across 109K+ orders. Explore the full portfolio to see more of our analytical work.
Every week without analytics is another week of decisions made on gut instinct. Book a free 30-minute call and we'll show you exactly where your data can drive revenue.
or email us directly at mazen@figmentanalytics.com