Predict: AI, Forecasting & Advanced Analytics
Machine learning models, forecasting engines, and risk/trading algorithms. We provide foresight for decision-making, demand planning, and capital growth.
Our Predictive Analytics Offerings
Algorithmic Trading & Quant Models
Custom trading algorithms, backtesting frameworks, and quantitative models for equity, derivatives, and cryptocurrency markets. We build strategies using statistical arbitrage, momentum, mean reversion, and machine learning signals.
Machine Learning Algorithms
Development and deployment of supervised, unsupervised, and reinforcement learning models. From classification and regression to clustering and anomaly detection, we apply ML to solve complex business problems.
Predictive Modeling
Statistical models to forecast sales, demand, churn, lifetime value, and more. We use time series analysis (ARIMA, Prophet), regression techniques, and ensemble methods to deliver accurate predictions.
Risk Management & Simulation
Monte Carlo simulations, Value-at-Risk (VaR) calculations, stress testing, and scenario analysis for financial, operational, and strategic risks. Quantify uncertainty and optimize risk-adjusted returns.
Scenario Planning with Simulation
Agent-based models and discrete event simulations to test strategic decisions under different market conditions, competitive responses, and operational constraints. Build confidence in high-stakes choices.
Real-World Applications
📈 Equity Trading Algorithm
A quantitative hedge fund needed systematic strategies for small-cap stocks. We developed momentum and mean-reversion algorithms with risk controls. Backtested Sharpe ratio: 1.8 | Live performance: 23% annual return with 15% max drawdown.
🛒 E-Commerce Demand Forecasting
An online retailer struggled with inventory planning for 50,000 SKUs. Our ML-based demand forecasting system reduced forecast error by 41%, cut excess inventory by $3.2M, and improved in-stock rates from 87% to 96%.
📱 Telecom Churn Prediction Model
A mobile carrier lost 8% of subscribers annually. We built a churn prediction model using customer usage, payment history, and service interactions. The model identified high-risk customers 45 days in advance with 82% accuracy, enabling targeted retention campaigns.
🏦 Credit Risk Modeling
A fintech lender needed better default prediction for small business loans. Our machine learning credit scoring model improved loan approval accuracy by 28%, reduced default rates from 4.2% to 2.8%, and increased profitable lending volume.
⚠️ Portfolio Risk Management System
An investment firm managed $500M across multiple asset classes. We built a risk management platform with VaR calculations, stress tests, and real-time exposure monitoring. The system prevented two major drawdowns during market volatility.
🏭 Manufacturing Predictive Maintenance
A factory experienced costly equipment failures. Our predictive maintenance model analyzed sensor data to forecast failures 7-14 days in advance. Unplanned downtime decreased by 62%, saving $1.4M annually in repairs and lost production.
Why Choose Foresent Predictive Services?
✓ Cutting-Edge Techniques
We stay current with latest ML algorithms, deep learning architectures, and quantitative methods.
✓ Production-Ready Models
Not just notebooks—we deploy models into production systems with monitoring and retraining pipelines.
✓ Business-Focused AI
We prioritize interpretability, actionability, and ROI over model complexity for complexity's sake.
✓ Rigorous Validation
Extensive backtesting, cross-validation, and out-of-sample testing ensure model reliability.
Tech We Use
Ready to Harness Predictive Intelligence?
Let's discuss how Foresent Predict services can give you foresight into demand, risk, and opportunities before they materialize.
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