Your spreadsheet forecasts are wrong. Let the data decide.
We build machine learning models that learn patterns from your historical data and produce forward-looking predictions — demand forecasts, churn signals, and revenue models that replace gut-feel with data-driven confidence.
30–50%
Forecast accuracy improvement
4–8 wk
Early churn detection window
15–25%
Inventory cost reduction
5–10×
First-year ROI
The Problem
Gut-feel forecasting is leaving money on the table
You're sitting on years of transactional and behavioral data, but your forecasting is still a spreadsheet exercise. BI dashboards show what happened — not what will happen next.
- Sales forecasts off by 30%+ because they're built on gut feel and pipeline vibes
- Can't predict which customers will churn until they're already gone
- Inventory decisions are reactive — stockouts cost revenue, overstock kills margins
- BI dashboards show last quarter's numbers but nothing about next quarter
Our Solution
Models that predict, not just report
We build ML models that account for seasonality, external market signals, customer behavior patterns, and cross-variable interactions that humans can't see in a spreadsheet. Deployed into your decision workflows, not a Jupyter notebook.
Demand Forecasting
Predict product demand to optimize inventory, procurement, and staffing with models trained on your historical sales and external signals.
Churn Prediction
Identify at-risk customers 4–8 weeks before they leave with actionable intervention signals pushed to your CRM.
Revenue Forecasting
Replace subjective pipeline estimates with probabilistic models that account for deal stage, velocity, and seasonal patterns.
Feature Store & Data Pipeline
Clean, transform, and feature-engineer your raw data into ML-ready datasets with automated quality monitoring.
Drift Detection & Retraining
Automated monitoring detects when model accuracy degrades and triggers retraining before predictions go stale.
How It Works
From kickoff to production.
Data Audit & Pipeline
Assess data quality, identify gaps, build clean feature stores from your transactional, behavioral, and operational data.
Model Development
Train and validate multiple model architectures against historical holdout data. Select the best performer for your specific prediction target.
Workflow Integration
Deploy models with real-time or batch scoring integrated into your CRM, ERP, or BI tools so predictions drive action.
Monitor & Improve
Build monitoring for model drift, accuracy degradation, and automated retraining triggers. Models get better over time.
Industry Applications
Built for your industry.
Demand & Inventory Optimization
Predict SKU-level demand across channels and locations to reduce stockouts by 20% and overstock by 15%, while optimizing markdown timing.
Churn Prevention & Revenue Forecasting
Score accounts by churn risk weekly, trigger CSM interventions automatically, and build probabilistic revenue forecasts the board can trust.
Supply Chain & Production Planning
Forecast raw material needs, predict maintenance windows, and optimize production schedules based on demand signals.
FAQ
Common questions.
Related Use Cases