Market Data Gathering TRIZ Cases
- Consumer Position Tracking via Location Markers
A processing device determines consumer location within a retail store by analyzing video signals from electronic devices.
- Context-Based Business Application Deployment System
A business application system retrieves configuration data to identify service providers and present personalized content.
- Promoter Determination Using Feature-Based Priority Recall
A promoter determination apparatus recalls candidate promoters using provider and promoter features to assign priority levels.
- ML Feedback Suggestion System for User Interaction Descriptiveness
A machine learning feedback suggestion system generates descriptive tags from user writing patterns.
- Subscription Frequency Recommendations Based on Consumption Patterns
An electronic retailer system analyzes purchase statistics to generate personalized subscription frequency recommendations for consumable products.
- Observation Platform for Real-World Data Collection
A mobile autonomous device platform coordinates incentivized observers to collect real-world data using location-based computing.
- User Sensitivity Score for Search Result Content Selection
A machine learning model predicts user sensitivity scores to tailor content relevance in search results.
- iOS Ad Campaign Optimization via AI Cohort Segmentation
First-party data cohorts and AI ranking enable real-time ad optimization independent of social media platforms.
- Predicting Freelancer Marketplace Joining via Feature Vectors
A Potential Consumer Engine assembles feature vectors from profile and channel data to calculate joining likelihood.
- Personalized Recommendation System Using Segmentation and Preliminary Action
A computing device determines personalized customer insights by analyzing historical purchase data and affinity scores for product attributes.
- Cross-sell Product Analytics via Session Event Mining
Experience analytics system determines cross-sell products by analyzing session events and historical sales data.
- Retail Heatmap Generation via Sales Data Weighting
A generation program creates visualized user behavior history by combining basis information weighted against product category sales.
- Real-Time Digital Engagement Scoring and Persona Clustering
System filters noise from diverse channels to assign optimal personas, resolving complexity in holistic customer engagement analysis.
- Trend Analysis Device Correlating Social Media Signals with Consumer Data
A trend analysis computing device detects online data patterns and compares them against user-specific dictionaries to generate impact reports.