Stop guessing. Start predicting. Our AI analyzes YOUR historical data to forecast sales, demand, customer behavior, and business outcomes with 95% accuracy. Make confident decisions backed by data science.
Your business generates massive amounts of data every day - sales transactions, customer interactions, inventory movements, market trends. But that data is worthless if you can't predict what happens next. Our predictive analytics solutions transform historical data into actionable future insights.
We integrate directly with your ERP, CRM, POS systems, and databases to build custom forecasting models trained specifically on YOUR business patterns. Predict demand spikes before they happen. Identify churning customers 90 days in advance. Forecast revenue with 95% accuracy. Optimize inventory before stockouts occur.
AI-powered predictions consistently outperform human estimates and traditional statistical methods.
Get updated forecasts as new data arrives. React to changing conditions instantly.
Identify customers likely to leave 90 days in advance. Retain revenue proactively.
Predict product demand by SKU, location, and time period. Optimize inventory and reduce waste.
Accurate monthly and quarterly revenue predictions for confident financial planning.
Identify potential risks and opportunities before they impact your business.
Generic forecasting models fail because every business is unique. We build custom predictive models trained on YOUR historical data, YOUR market conditions, and YOUR business cycles. The AI learns YOUR specific patterns to deliver predictions you can trust.
Connect to your ERP, CRM, POS, and databases. Consolidate historical sales, customer, and operational data.
Identify relevant variables - seasonality, trends, promotions, market conditions, and custom business factors.
Build ensemble models (XGBoost, LSTM, Prophet) optimized for YOUR specific prediction tasks.
Test model accuracy on historical data. Validate predictions against actual outcomes before deployment.
Deploy models to production. Monitor performance continuously and retrain as patterns evolve.
Retail chain with 50+ stores struggled with inventory management. Frequent stockouts of hot items, excess inventory of slow movers. $4M tied up in dead stock.
Results: Built custom demand forecasting models for each SKU and location. Predicted demand 12 weeks ahead with 93% accuracy. Stockouts reduced by 87%. Excess inventory down 62%. Annual savings: $3.2M. Inventory turnover improved 45%.
Telecom provider losing 12% of customers annually. Reactive retention efforts failed because they identified churners too late.
Results: Deployed churn prediction model identifying at-risk customers 90 days in advance with 89% accuracy. Launched proactive retention campaigns for high-value customers. Churn rate dropped from 12% to 3.6% (70% reduction). Retained $18M in annual revenue.
Demand forecasting, inventory optimization, price optimization, customer lifetime value prediction.
Credit risk assessment, fraud detection, customer churn prediction, portfolio optimization.
Demand planning, production scheduling, predictive maintenance, quality forecasting.
Patient admission forecasting, resource planning, readmission prediction, disease progression modeling.
Churn prediction, network capacity planning, revenue forecasting, customer behavior prediction.