Industries
AI Use Cases Across Industries
There are AI use cases across industries including law firms, distribution, manufacturing, finance, marketing, and security. They illustrate potential ways to:
Automate workflows
Enable data-driven decisions
Improve customer engagement
Operationalize predictive insights
Apply AI securely and responsibly
Demand Forecasting
Derive actionable insights from customer data
Segmentation
Group customers into cohorts based on common attributes and behaviors
Churn Prediction
Identify customers most at risk for attrition using ML models
Profile Enrichment
Augment records with additional data like demographics and credit information
Campaign Optimization
Boost marketing performance through real-time adjustments
Ad Bidding
Dynamically bid for best positioning based on budget and expected response
Testing
Continually try combinations of messaging, formats, channel mix to improve results
Attribution
Quantify impact of each ad and marketing element on customer actions
Fraud Prevention
Mitigate fraudulent activities across campaigns and transactions
Anomaly Detection
Spot outlier patterns in real-time that could indicate fraud
Scenario Modeling
Isolate factors and data relationships most predictive of fraud
Rule Tuning
Refine fraud detection rules to improve accuracy over time
Customer Intelligence
Derive insights from customer data to personalize engagement
Segmentation
Group customers into cohorts based on attributes and behaviors
Propensity Modeling
Predict likelihood of loan default, investment activity etc.
Profile Enrichment
Augment records with additional data like credit history
Fraud Prevention
Mitigate fraudulent activities across payments and transactions
Transaction Pattern
Spot anomaly patterns indicating fraudulent card use
Identity Validation
Compare user details against verified ID databases
Scoring
Assign risk scores to events based on potential of fraud
Compliance
Continuously monitor adherence to financial regulations
Regulatory Update
Track latest regulatory and policy changes requiring attention
Control Testing
Validate existing workflows against updated compliance controls
Remediation
Suggest changes to processes to address gaps
Legal Research
Ecover evidence and reveal insights
Fact Pattern Analysis
Scan case files to flag relevant facts and match them to applicable laws and precedents
Augmented Research
Proactively surface highly relevant case studies, journal articles and statutes to strengthen legal arguments
Regulatory Update
Continuously monitor changes in laws and regulations and alerts on impacts to existing research
Summarization
Distill complex legal language into concise summaries and meaningful legal principles
Case Law Analytics
Uncover connections between cases by facts and outcomes to inform litigation strategy
Legal Drafting
Create, strengthen, perfect, and protect legal documents
Draft Generation
Instantly produce draft motions and briefs tailored to case details
Argument Augmentation
Get recommendations on expansions and precedents to bolster legal arguments
Quality Assurance
Ensure document quality, alignment to standards and final human review
Confidentiality Control
Apply stringent access controls to safeguard confidentiality
Risk Identification
Highlight non-standard clauses in contracts compared to databases of reference agreements
Threat Prevention
Proactively identify and mitigate complex security threats
Real-time Detection
Perform high-speed data correlation to uncover anomalies
Risk Scoring
Prioritize threats by potential business impact for accelerated response
Orchestration
Automate containment of attacks through coordination
Fraud Prevention
Leverage machine learning to pinpoint fraudulent activities
Behavior Modeling
Develop profiles of normal vs suspicious patterns in transactions
Scoring
Assign fraud potential scores to events based on learned models
Scenario Testing
Enable isolation of factors most indicative of fraudulent intent
Compliance
Continuously audit and provide visibility into security posture
Policy Violation
Flag activities or configurations violating security best practices
Remediation
Suggest steps to address gaps and improve compliance
Reporting
Produce audit reports certifying current compliance controls
Intelligent Inventory
Optimize inventory planning, availability and turns
Demand Forecasting
Project future inventory needs by product lines based on historical data
Replenishment
Automate purchase orders and transfers to prevent stockouts
Supplier Integration
Enable data sharing with strategic suppliers to coordinate planning
Automated Order Processing
Accelerate order management with 95%+ accuracy
Data Extraction
Convert order information from emails, EDI feeds into structured data
Validation
Check orders for completeness, customer credit status, product availability
Routing & Tracking
Assign warehouse tasks for fulfillment and generates customer shipment notifications
Customer Experience
Boost engagement across the customer lifecycle
Conversational Chatbot
Provides 24/7 self-service access for order status, returns, etc.
Recommender Bot
Recommends relevant products based on the individual’s purchase history
User Analytics
Identify common questions and pain points to improve content and experience
Accounts Receivable
Optimize collections through personalized engagement
Invoice Tracking
Automate tracking payments
Collections
Identify past due accounts and initiates contact for resolution
Payment Plan
Suggest customized installment plans based on customer history
The Accounts Receivable Assistant aims to streamline the collections process by.
Predictive Maintenance
Prevent unplanned downtime through data-driven insights
Sensor Analytics
Analyze equipment sensor data to predict potential failures
Maintenance Scheduling
Optimally schedule preventive maintenance during planned production halts
Technician Guidance
Provide real-time guidance to resolve equipment issues quickly
Quality Management
Drive higher quality output and minimizes defects
Visual Inspection
Leverage computer vision to automatically detect product anomalies
Root Cause Analysis
Identify process parameters triggering defects to enable corrections
Optimization
Continuously tune machining settings to maintain quality specs
Production Planning
Optimize production scheduling for improved efficiency
Demand Forecasting
Combine inputs like orders, inventories, and trends to project output requirements