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Dive Into the New Age of Accelerated Analytics

Our Areas of Excellence

Hyper-Personalized Marketing

  • Recommender systems based on portfolio preferences, transaction history, contact history, session history, customer profiling, churn propensity and channel preferences

  • Typical conversion rates improve by more than 100% vs traditional campaigns

  • Use of LLM models for generating personalized messages and content

Pricing Excellence

  • Optimizing keyword bid-based pricing for Google App Campaigns and Apple Store Ads – significant improvements in key metrics such as CPT and CPI

  • Building a parametric pricing engine for a large investment house in Turkey (based on analysis of customer segments, elasticity, competitor models and scenario analysis)

Operations Optimization

  • Demand forecasting using time series analytics, in areas such as supply chain optimization, replenishment planning (including campaign periods, special events)

  • Automating document processing, leveraging text analytics and language models

Customer Service Analytics

  • Summarizing customer feedbacks and questions, leveraging large language models

  • Predicting customer call/contact reasons based on session analytics and transaction history

Risk Decision Analytics

  • Credit decision models using machine learning methods for improved discretionary power (typically 3-5% in approval rates and significant increase in average limit utilization

  • Income and expense classification models for acquiring new customers with no previous credit record

Anti Money Laundering and KYC Analytics

  • Detecting potential money laundering patterns with graph network analysis

  • Detecting cases such as non-personal use of accounts using machine learning based anomaly detection

  • Simplifying the KYC process in customer onboarding by segmenting the customer profiles, and supporting KYC agents with use of LLM (policy interpretation)

Transactional Fraud Analytics

  • Identifying potential phishing cases based on data analysis, with combination of rule-based and machine learning methods

  • Reducing false-positives in operations environments based on fine-tuning of scenario thresholds, risk-based analysis

Algorithmic Trading

  • Offering robo-advisors for investor segments, based on risk profiling and expected return profiling.  Roboadvisors can automatically trade or provide guidance for customers

  • Various trading algoritms with several years of track record across various asset classes

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