Retail/E-Commerce

  • Customer Profiling: RFM segments, Pareto quartiles, cohort analysis, customer lifetime value as well as recommended engagement insights
  • Demand Planning: Accurate cognitive demand planner shows the future expected demand for each product which is compared with the available stock to suggest the optimal quantity to restock thereby reducing cases of overstocking and understocking.
  • Clickstream Analysis: Funnel Analysis to optimize for conversion, cart abandonment and recovery, add-to-cart rates; Traffic Analysis, and Personalization
  • Basket Analysis: Understand products associations; which products are bought together, sales influencers. Product recommendations, user recommendations, store layout planning, product packaging/bundling, up-selling, cross-selling, decisions on coupons, specials and discounts.
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Gaming and SaaS

  • Customer Profiling: RFM segments, Pareto quartiles, cohort analysis, customer lifetime value as well as recommended engagement insights
  • Clickstream Analysis: Funnel Analysis to optimize for conversion; Traffic Analysis, and Personalization
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Banking

By analyzing customer behaviour in the banking hall and also the behaviour of fraudsters, we can be able to munch the numbers and predict, with 99.90% accuracy, that a specific transaction is fraudulent and flag it before it goes through.
The ability to tell the credit scoring of a customer does not just lie with them being listed in CRB or not. By implementing deep learning algorithms on customer behaviour, we are able to tremendously improve the credit scoring of customers and hence help reduce cases of bad loans.

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Insurance

The ability to predict car breakdowns based on the data collected from how it is driven is important not only in predicting total claims but also in offering customer-centric insurance products by charging premiums that is a reflection of the driver's road use.
Is it a fraudulent claim? Our deep learning models can crunch your data and understand patterns of fraudulent claims and hence help classify a new claim as either being fraudulent or not with a given degree of probability.

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Industrial Processes

  • Identify the optimal process pathways to improve efficiency
  • You can predict the equipments that might mostly likely go faulty and take early steps to avoid disruption
  • Get to know how each process translates to your costs and hence profits to help make better profit-increase decisions.
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Energy and Power

  • Fault prediction and dynamic maintenance
  • Customer clustering to better understand their energy requirements and avoid overloading
  • Energy forecasting for the various regions.
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Government

  • Resource planning and allocation based on the behaviour of the residents of the various regions and their previous spending habits,
  • Disaster and natural phenomena prediction to help with preventive measures or pre-planning to reduce the effects among many others.
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