Resources TRIZ Cases

A payment instrument selection model uses user configuration data to identify suitable financial accounts for transactions.

Standardized connectors enable interchangeable analytics to operate at cloud or machine sites, eliminating custom development costs.

A business data analysis system gathers current profit and factor data to calculate future financial projections.

A computing device detects user sitting and arrival times from wearable sensor data to calculate restaurant wait periods.

An observation platform generates contextual history from voice and location signals to derive objective employee performance metrics.

Computes skill, solidity, and weightage scores to enhance requirement strength, reducing defects detected late in development.

A real-time energy management controller tracks charging events and unit prices to select the lowest cost supply combination.

A schedule managing apparatus adjusts preparation and production time points based on worker counts to coordinate manufacturing workflows.

An automated system detects user events across platforms to assign relevant compliance training and control status changes.

A software performance prediction method uses function point analysis to generate initial estimates and iteratively refines them with actual execution data.

A risk scoring system generates asset and incident scores using historical loss data to automate threat evaluation.

A digital computer system visualizes parking officer movements using a time-based active representational model.

A dealership management system generates comprehensive automotive parts sales reports at pre-determined frequencies.

A workforce scheduling system segments employees into cells to optimize shift assignments and equipment usage.

Algorithm analyzes discretized historical data to detect natural experiments, resolving the trade-off between manual detection time and measurement precision.

Mapping unstructured business plan text to normalized cost metric tags enables accurate total cost estimation over time despite system complexity.

Self-contained executables enable secure script deployment on heterogeneous grids without requiring persistent agents or plugin integration.

A forecast engine analyzes transport chains to determine object code release times.

A subscription service management system receives configuration data from third-party providers to activate consumer plans via an online interface.

Movement graphs predict crowd numbers and waiting times, resolving congestion bottlenecks without increasing system complexity.

A reinforcement learning model generates inventory replenishment recommendations from real-time product inflow and outflow data.

A visual interface displays change request status using color-coded icons and interactive linked graphs.

Configuration script derives models associating influencers with performance indicators to project future values.

Ledger-based reservations enable cross-data center resource balancing while preventing extended holds on unused capacity.

Networked reporting module filters mail processing device data via site databases to resolve analysis time bottlenecks.

Quantile thresholds estimate candidate positions via interpolation, reducing computational overhead and network transmission costs.

A business process management engine detects the definition language and invokes the corresponding runtime environment for execution.

Databinding constructs mediate data transfer between workflow engines and user interface layers.

Structured data objects automate trial stage transitions, eliminating manual data duplication and reducing error rates across development phases.

A control device selects operating states based on energy consumption data to optimize technical system performance.

A goal standardization system classifies manually created goals using trained classifiers to assign template labels.

A schedule bar visualizes procurement dates within an event management system to track supply chain milestones.

Unified platform merges scheduling, quality monitoring, and analytics to eliminate data silos from disparate vendor systems.

GPS tracking system segments mobile workforce location data into movement and idle periods for real-time monitoring.

An interconnect engine queries telemetry data to identify existing customer connections and generate prospective network links across distributed facilities.

A computer-implemented method manages transportation network flow by prioritizing items and adjusting unit quantities based on loading constraints.

A simplified inventory movement represents multi-level routes as single source-to-destination transfers.

The Definitive Pro System segments assessment data into hierarchical levels to enable efficient team formation and consensus processing.

Mapping rules link selected display portions between mobile and desktop devices, resolving productivity losses from fragmented multi-device workflows.

An AI-driven interface associates low-level content with high-level activities to generate activity-specific views.

Recursive component analysis resolves inaccurate tracking of intermediate relations in complex hierarchical product design trees.

Institutional Research Analytics Platform consolidates heterogeneous research data into a unified schema for performance tracking.

Hierarchical process ontology resolves task parameters to select specific executable versions, eliminating static redesign needs for changing workflows.

An intermediary module extracts secondary sales data from distributors to resolve the contradiction between ERP complexity and inventory accuracy.