Predictive Analytics – with Machine Learning & AI

Powering Opportunities
Risk Edge’s Predictive Analytics help you make sense of your enormous data – with an objective of finding answers to some of your most critical strategic and operational issues. With Risk Edge, you can see how several data models can help you gain futuristic insights into Prices, Risks, Supply Chain Opportunities and Risks, Consumer Preferences and many other such areas.
Operations

Apply Actionable Insights

  • Understand which parts of operations affect your organization’s strategic objectives the most
  • Learn how correlated are your inventory levels, vessel movements, delivery schedules with your profitability
  • Optimize the most critical parts of your operations first to deliver best results
Enterprise Risk Management

A Complete picture of risks across verticals

  • Don’t just track Market or Credit Risks, but also other risks associated with business
  • Avoid Operational Risks, Detect Fraud using advanced predictive capabilities
Cash Flows

Optimize and Integrate with Operations

  • View every part of operations in conjunction with Cash Flows
  • Utilize deeper insights to reduce Cost of Capital and improve Profitability
Consumer Preferences

Understand hidden & changing Trends

  • Analyze Demand, Supply patterns to see hidden trends in changing Consumer preferences
  • Use competitor / lateral company’s sales data to drive your product research / new product launches
Use Predictive Analytics on Market Data

Profitability

  • Use historical Market Data (Fundamental, Price Data) with other variables to predict prices to aid trading profits
  • Amongst hundreds of variables that affect your organization’s business, identify those which are most critical
  • Understand the behaviour of most critical variables and quantify their impact on profitability.
  • Our Whitepaper on Predicting Crude Oil Prices
Credit Defaults

Predict and Prevent Counter-party Defaults

  • Use subjective and numeric data to evaluate default probability of Counter-parties / Loan portfolios.
  • Several different kinds of Classification Models built-in to help you predict defaults with 80-90% accuracy.
  • Classify new counterparties based on the data into various risk buckets.
  • Our Whitepaper on Predicting Credit Defaults.

Our Machine Learning Center of Excellence (CoE) has built and deployed many such applications after analyzing client requirements in depth. There are multiple methods of deploying and accessing these applications – from Private servers to Cloud, which we’ve used for our clients depending on their needs.

Tell us about your requirements and we’ll give you deployment, technology, pricing and timelines based on your priorities !

Our Clients

Interested to know more about the features of these apps, and whether they can be applied to solve your problems? Read on…