Predictive Analytics That
Drives Real Decisions
Stop reacting to what already happened. Predictive analytics tells you what will happen next - and gives your team the lead time to act. We build production prediction systems that surface the right insights at the right time - embedded in the tools your teams already use.
Our Service Capabilities
End-to-end capability - from strategy and build to integration, monitoring, and ongoing support.
Demand & Revenue Forecasting
LSTM, Prophet, and XGBoost-based forecasting models for product demand, revenue, and inventory - with configurable granularity from SKU-level to regional aggregates.
Customer Churn Prediction
Survival analysis and classification models that identify at-risk customers weeks before churn - with feature importance explanations and CRM integration for immediate retention actions.
Credit Risk & Default Scoring
Regulatory-compliant credit scoring models with explainable predictions, adverse action reasons, and bias testing - for banks, NBFCs, and lending platforms.
Anomaly & Fraud Detection
Real-time anomaly detection for financial fraud, network intrusion, equipment failure, and quality control - with configurable thresholds and human-in-the-loop review workflows.
Predictive Maintenance
Time-series models on IoT sensor data that predict equipment failure before it happens - reducing unplanned downtime by 30–40% in manufacturing and utilities.
Lead Scoring & Win Probability
ML models that score inbound leads, predict deal win probability, and surface the best next action - integrated with Salesforce, HubSpot, and your CRM of choice.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Define the Prediction Target
Clearly specify what you want to predict, the decision it enables, and the business value of accuracy improvement.
- 2
Data Audit & Feature Engineering
Evaluate data quality, identify predictive features, handle missing values, and build the feature engineering pipeline.
- 3
Model Development & Benchmarking
Train and evaluate multiple model families, establish baselines, and select the best-performing approach for your accuracy and latency requirements.
- 4
Explainability & Validation
Validate model fairness and compliance, implement SHAP explainability, and present findings to business stakeholders before deployment.
- 5
Production Integration & Monitoring
Deploy prediction API, integrate with dashboards or CRM, and set up monitoring for accuracy degradation and data drift.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
Forecasting Models
ML Frameworks
Data & Features
Deployment & BI
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
Credit Default Prediction
XGBoost credit model on 5M+ loan records - reduces NPAs by 32%, approves 18% more creditworthy customers rule-based systems missed.
SKU-level Demand Forecasting
Prophet + LSTM ensemble for 50,000 SKUs - 4.1% MAPE at weekly granularity, reduced overstock costs $2.3M annually.
Predictive Maintenance for CNC
LSTM anomaly detection on vibration sensor data - 35% reduction in unplanned downtime, 3-week advance failure warning.
Customer Churn Prediction
Survival analysis model for B2B SaaS - identifies at-risk accounts 45 days before churn, enabling targeted retention campaigns that saved $4.1M ARR.
Electricity Load Forecasting
Temporal Fusion Transformer forecasting 72-hour load across 120 grid zones - 4.2% MAPE, enabling $3.2M annual savings on energy procurement.
Revenue & Promo Forecasting
Revenue forecasting model integrated into planning dashboard - 93% accuracy on 4-week forward revenue, with promotional uplift modelling.
What Teams Say After Shipping with Us
Real results from teams who needed predictions to work in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future outcomes - customer churn, product demand, equipment failure, credit default, and more. It transforms reactive decision-making into proactive, data-driven action.
Ready to Add Predictive Power to Your Business?
Tell us what you want to predict - demand, churn, fraud, or risk. We will build a production prediction system with measurable business impact.