MACHINE LEARNING

We have multiple case studies per industry and results are typically in the order of a 20-30% improvement over traditional statistical methods. Let us show you how powerful machine learning models can be easily integrated to cut costs and increase revenue in your business.

Insurance and Financial Services

Customer segmentation • Cross-selling and up-selling • Advertising schedule optimization (Direct sales businesses) • Credit scoring • Payment default prediction • Insurance underwriting models

Retail

Predictive inventory planning • Customer basket predictions • Upsell and cross-sell • Personalized promotion engine • Market segmentation and targeting • Customer ROI and lifetime value

Manufacturing

Warranty reserve estimation • Propensity to buy • Demand forecasting • Telematics • Predictive maintenance or condition monitoring • Manufacturing fault prediction • Predictive Quality Assurance

Energy

Feedstock and Utilities • Power usage analytics • Carbon emissions and trading • Customer-specific pricing • Smart grid management • Energy demand and supply optimization

Fraud, Debt collections, and lending

Machine learning algorithms are able to generalise based on the responses of people over time and identify those who are the most likely to settle the debt. Once they have been identified, we are able to determine the best way to contact them and initiate the debt collection process.,

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