Product Recommendation Engine
Simulating, forecasting & re-rating subscriber spend and usage behavior over 24 months to proactively recommend appropriate tariffs at contract renewal stage.
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Revenue Science
Customer Segmentation & Lifecycle Management
Detailed segmentation modelling to support lifecycle management, hyper-personalization and loyalty. Using the segment profiles and attributes, detailed engagement strategies were formulated and executed.
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Early Warning Prediction System
Effective and swift responses to competitor promotional activity by identifying anomalous transactional behaviour in sales volumes, pricing & emerging SKUs at a localised level. Automated reports are distributed to operational teams to proactively combat high risk competitor activity.
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Stock-out Prediction Models
Machine-learning forecast to provide retailer with weekly product predictions across relevant SKU’s reducing the probability of stock-outs. The end-to-end process of data sourcing, integration, processing, model training & deployment into a production environment, serves 10 000 stores
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Outbreak Detection and Alerting
Improve the ability to promptly detect outbreaks by providing the infection control teams with an automated outbreak detection solution for hospitals and wards, while also providing a better understanding of the leading contributors to infectious outbreaks.
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Revenue Forecasting & Diagnostics
A mathematical driver-based model of the finance process was built. This allowed for improved forecasts through driver-based machine-learning & diagnostics by tracking shifts in drivers & quantifying the resultant impact, for proactive interventions across hospitals, funders, disciplines and doctors.
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Channel Incentive Structure Modelling
Introduced a Smart Commissions framework to address prepaid rotational churn supported by a commercial model to simulate different incentive structures for channel partners. Commissions inefficiencies were resolved through redefined performance measures & targets, which resulted in a decrease in churn.
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Telcosurance Personalisation
Using subscriber behavioral and transactional data, prepaid customers were segmented, and targeted with different insurance offerings based on the highest probability of conversion. Additionally, usage data helped optimize contactability rates and drive better conversions.
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