What Business Problems Can Aidy Handle?

Whether you are in charge of cost prediction, claim management, underwriting, fraud detection or sales and marketing, Aidy has you covered. Aidy tailored a predictive analytics automation for various business scenarios, with no hassle and no compromise. Test your hypotheses with Aidy’s end-to-end process, from data preparation to model evaluation and prediction. Aidy guides you step by step, like a GPS for machine learning. No coding skills is required!

General Business | Customer Segmentation
  • Analyze the customer base data and Identify distinct segments within customer base, allowing marketers to customize their marketing strategies to different groups.
General Business | Cross-selling Prediction
General Business | Lead Analysis
  • Analyze past sales lead data.
  • Assess conversion likelihood of sales lead.
  • Adjust lead management to maximize the effectiveness.
General Business | Boost ROI for Target Marketing
  • Analyze past campaign data to understand the critical factors for success.
  • Predict and optimize campaign features, such as target specific groups of high potential customers, product and communication channel.
  • Forecast campaign response rates and conversion rates.
  • Learn more about Benefits, How-to & Case Study
Insurance | Fraud Identification
  • Claim Fraud or Misrepresentation
  • Employer Fraud -- Under-reporting / Claim Suppression / Misclassification
  • Policyholder Fraud -- Underwriting Misrepresentation
  • Provider Fraud -- Provider Misrepresentation
Insurance | Claim Reserving
  • Predicting Claim Reserve Amount
  • Probability of Major Reserve Adjustment
Learn more about Predicting Health Insurance Cost by No Code Machine Learning
Insurance | Claim Management
  • Claim Scoring for Becoming Expensive
  • Claim Scoring for Early Intervention
  • Claim Scoring for Payment Recovery from Salvage, Subrogation or Reinsurance
  • Claim Scoring for Settlement (or Closure)
  • Claim Triage or Assignment to Claim Adjuster
  • Claimant Scoring for Becoming Long Term Disability
  • Claimant Scoring for Recovery
Insurance | Legal
  • Litigation Loss -- Probability of being sued
  • Litigation Recovery -- Probability of winning a lawsuit
Insurance | Underwriting
  • Employer Scoring for Riskiness
  • Policyholder Scoring for Riskiness
  • Underwriting -- Experience Rating Pricing
  • Underwriting -- Grouping Policyholders into Clusters
  • Underwriting -- Risk Classification
Insurance | Service Provider
  • Provider Scoring for Inefficiency/Ineffectiveness
Other Applications
  • Classifying Data into Groups
  • Finding Outlier or Abnormal Data
  • Identifying Records with a high likelihood of a Large (or Small) Amount
  • Predicting Numerical Target

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