Our Services

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Our Advanced Analytics Capabilities

Demand Forecasting

Predict what customers will buy with 93% accuracy. Our models account for seasonality, trends, promotions, and external factors to help you stock the right products at the right time in the right locations.

  • Sales forecasting by SKU, location, and channel
  • Trend analysis and pattern recognition
  • Seasonality modeling and promotional impact
  • New product introduction forecasting
Customer Analytics & Segmentation

Understand customer behavior at a granular level. Predict churn before it happens, model lifetime value to prioritize high-value segments, and identify propensity to buy so you can time offers perfectly.

  • Churn prediction and retention modeling
  • Customer lifetime value (CLV) calculation and forecasting
  • Propensity-to-buy and next-best-action modeling
  • Intelligent segmentation beyond demographics
Inventory & Supply Chain Optimization

Optimize inventory levels to maximize availability while minimizing carrying costs. Our models recommend optimal stock levels, allocation strategies, and replenishment timing based on predicted demand.

  • Inventory optimization and safety stock calculation
  • Multi-location stock allocation
  • Replenishment forecasting and reorder point optimization
  • Supply chain network optimization
Price Optimization

Set prices algorithmically based on elasticity, competitive positioning, and demand patterns. Maximize revenue without sacrificing margin by understanding what customers will actually pay.

  • Price elasticity analysis and modeling
  • Competitive pricing intelligence and positioning
  • Dynamic pricing strategies and rules
  • Promotional pricing optimization
Predictive Marketing

Target the right customers with the right offers at the right time. Propensity models, campaign response prediction, and next-best-action recommendations make marketing more efficient and effective.

  • Campaign response modeling and prediction
  • Next-best-offer and next-best-action recommendations
  • Channel propensity and preference modeling
  • Marketing mix modeling and budget optimization
Prescriptive Analytics

Go beyond prediction to prescription. Our optimization algorithms recommend the best actions to take, simulate scenarios, and show you the impact of different strategies before you commit resources.

  • Optimization algorithms for complex decision-making
  • Simulation modeling and what-if scenario planning
  • Resource allocation and capacity planning
  • Risk analytics and sensitivity analysis

Why Partners With Us

SmartCX powered

93% demand forecasting accuracy in production with major retailers. Our models are battle-tested on real commerce data, not lab experiments.

Real transaction data

30+ pre-built analytics modules covering demand, churn, LTV, inventory, pricing. Leverage proven models or customize for your specific needs.

Commerce-specific

Models trained on 2M+ monthly commerce transactions understand seasonality, promotional impacts, and buying patterns unique to retail.

Continuously improving

Analytics we build are maintained by AI Operations teams who retrain models, monitor accuracy, and optimize performance over time.

Results You Can Expect

93% Forecast Accuracy

93% Forecast Accuracy

93% forecasting accuracy reducing stockouts and overstock

Lower Inventory Costs

Lower Inventory Costs

 Significant reduction in inventory carrying costs through optimization

Higher Customer Value

Higher Customer Value

Increased customer lifetime value through churn prevention

8–12 Week Models

8–12 Week Models

8-12 weeks for initial model development and validation

How This Integrates

AI & Machine Learning Services

Advanced analytics leverage custom AI models for predictive accuracy. Models developed by AI services power forecasting and optimization.

Business Intelligence & Marketing Analytics

Forecasts and predictions are visualized through BI dashboards. Historical data from BI feeds predictive models.

Commerce Operations (24/7)

Inventory forecasts inform operations teams on stock allocation and replenishment. Demand predictions drive operational planning.

Talk to us about
predictive analytics

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