Our ML & Predictive Analytics Solutions
Demand Forecasting at Scale
- Use DeepAR, Transformer-based models, and global XGBoost regressors for SKU-level forecasting
- Forecast thousands of products in real time across regions and hierarchies
- Integrate macroeconomic indicators, seasonality, and cross-series learning
- Improve inventory planning, reduce stockouts, and enhance supply chain efficiency
Marketing Mix Modeling (MMM)
- Apply Bayesian regression, hierarchical models, and MCMC-based optimization
- Quantify adstock effects, channel saturation, and diminishing returns
- Optimize marketing budgets with ROAS-based allocation models
- Shift from reactive planning to predictive marketing simulations
Customer Segmentation & Personalization
- Leverage K-means, DBSCAN, and Gaussian Mixture Models for clustering
- Use collaborative filtering and matrix factorization for real-time recommendations
- Segment by behavior, demographics, and transaction history
- Enable hyper-personalization to improve loyalty and lifetime value
Propensity Modeling for Opportunity Scoring
- Use XGBoost, Random Forest, and Logistic Regression for scoring
- Predict deal success using historical CRM and sales data
- Integrate Explainable AI (XAI) to highlight the drivers of success and failure
- Prioritize pipeline and optimize sales territory planning
Churn Prediction & Retention
- Build churn models using supervised learning, transactional, and behavioral data
- Apply classification models to identify individual churn risk
- Use Explainable AI to understand churn causes by segment
- Drive proactive retention with targeted, data-driven interventions
Topline Revenue Forecasting
- Apply SARIMAX, BSTS, UCM, and Transformer-based time series models
- Forecast with adaptability to seasonality, promotions, and economic shocks
- Build self-correcting models that account for drift and anomalies
- Support executive forecasting and long-range planning scenarios
Prescriptive Analytics & Decision Automation
- Combine reinforcement learning, mathematical optimization, and real-time data processing
- Automate decisions across pricing, logistics, and marketing spend
- Build adaptive AI systems that learn from feedback loops
- Replace manual workflows with intelligent, self-optimizing decision engines
