Market Predictions TRIZ Cases
- Machine Learning Entity Scoring for Targeted Health Campaigns
Staged machine learning models filter large datasets, score entities, and target health campaigns by predicted outcomes.
- Time Interval Geolocation Objects With Price-Time Priority Queues
This case routes geolocation exchange units and uses market depth to prioritize tradable time interval capacity.
- Integer Programming Customer Clustering from Purchase and Demographic Data
Integer programming transforms purchase and demographic data into feature spaces for precise customer clustering and tailored promotions.
- AI Supply Chain Optimizer for Dynamic Cost-Service Balancing
AI recalibrates supply chain settings to balance cost, service, and variability.
- Machine-Learned Attendance Prediction for Stadium Ticket Distribution
Historical team data predicts attendance, enabling dynamic ticket distribution beyond fixed stadium capacity.
- Computational Service Pricing for Runtime-Cost Tradeoffs
A resource estimation model links cloud resource options to predicted wall-clock times and prices for cost-aware execution.
- Vehicle Delivery Information Processing for Personalized Waiting Content
This case uses user information and delivery timing to send engaging content while dealer options delay vehicle handover.
- Proximity-Based Merchant Incentives with Charity-Linked Surveys
This case uses transaction data, AI, charity donations, and surveys to tailor merchant incentives while managing program complexity.
- Focus Group Audio Insight Extraction with Tunable AI Reports
Language, generative, and predictive AI process focus-group audio into transcription, insights, and customizable sentiment reports.