Decision Support
❯
Predict
❯Management - Market Intelligence
A fairer and more personalised credit decision
For:
Payment and credit providers
Goal:
Improved Customer Experience
Moving Beyond Generalised Linear Models: A sophisticated pricing strategy incorporating competitor pricing
For:
Customer pricing
Actuaries
Goal:
Increase Revenues
Machine-learning based triage to determine low-severity patients that can be fast-tracked to admission in ED due to their short discharge length
For:
Emergency Departments in hospitals.
Goal:
Improved Employee Efficiency
Disaster and Emergency Prediction & Impact Model
For:
National-level disaster management professionals, Climate change adaptation experts, Government agencies, At-risk communities
Automated threat enrichment intelligence in Cyber security
Goal:
Improve Operation Efficiency
Deep reinforcement learning for personalized treatment recommendation
For:
Clinicians who prescribe long-term and adjustable treatments
Goal:
Improved Employee Efficiency
Applying machine learning to predict patient risk for in-hospital new infections
For:
Hospitals
Goal:
Improved Customer Experience, Anticipate Risks
Large Companies
Small Companies
Management - Market Intelligence
For:
Product managers and Marketers.
Scope:
Growing active users for a music streaming service by identifying high-value customer behavior.
Goal:
Improved Customer Experience, Increase Revenues
Weather Forecasting in Agriculture
For:
Farmers
Goal:
Anticipate Risks, Improve Operation Efficiency
AI for customers' loss prevention of telecommunication services
For:
Telecommunication companies
Goal:
Improved Customer Experience
Large Companies
Manufacturing and Factories – Predictive Maintenance
For:
Operation, R&D
Scope:
Avoiding unplanned shutdowns in Manufacturing using Machine Learning to predict failure states in equipment.
Goal:
Anticipate Risks, Improve Operation Efficiency
Disaster and Emergency Prediction & Impact Model
For:
National-level disaster management professionals, Climate change adaptation experts, Government agencies, At-risk communities.
Large Companies
Small Companies
Management - Market Intelligence
For:
Product managers and Marketers.Goal:
Improved Customer Experience, Increase RevenuesProblem addressed
Market intelligence provides companies with insights regarding their target market, especially their customers' preferences, in order to plan the allocation of strategic resources. Acquiring data about customers is required for tailoring marketing messaging to specific targeted groups. Differentiating groups requires information about marketing touch points, purchasing behavior, and user interactions with the product in order to drive outcomes such as conversion, renewal, expansion, and advocacy.
Scope of use case
Growing active users for a music streaming service by identifying high-value customer behavior.
Description
Market intelligence is typically implemented using machine learning and big data analytics applied to large repositories of consumer behavior data. Cohort analysis and clustering is normally used to identify users with similar behavior, while predictive analytics is used to optimize metrics such as retention and customer lifetime value (CLV).
Leaf, a popular Latin American music streaming service, used Peak’s customer intelligence solution to grow their active user base by 97% in just four months1. Peak combined Leaf’s user data with ad platform and web scraped data. By applying clustering models to that data, Peak identified Leaf’s most valuable users, how they were acquired, and how they use the platform. Through use of dashboards, Leaf were then able to target users with the highest probability of becoming high value customers.
Raw Data
AI: Perceive
Machine Learning
AI: Understand
Optimize
Predict / Forecast
Recommend
AI: Act