Advertisements TRIZ Cases

This case uses selective form scraping and database matching to identify abandoned visitors and choose personalized contact channels.

Customer and campaign data prompt an LLM to prepare personalized text for agents before outbound calls, improving engagement.

Proximity-activated virtual ads invite item interaction and purchases.

This case uses service evaluations to estimate prompt-item importance, refining generative AI prompts for more accurate generation.

An interactive live-streaming studio combines ad selection, read-aloud scripts, tracking, and direct creator compensation.

CEP and DAP models segment users, adapt timing and content, and measure engagement to reduce unnecessary communications.

AI-generated content briefs help reduce creation time and improve marketplace visibility.

This case aggregates conversion, average order value, and incremental lift scores into a secure media value measure.

Consumer graphs unify fragmented device data for faster ad placement decisions.

This case uses position-group configuration and tailored mediation protocols to improve display-space use in digital content auctions.

A GPS-embedded script detects abandoned searches, analyzes user data, and selects email, SMS, or push messages for re-engagement.

Attestation-token checks filter fraudulent reports before aggregation, enabling privacy-aware warnings against false digital content.

An intermediary ad service collects multiple bids and returns grouped ads for streaming video opportunities.

Facial mesh tracking maps makeup to selectable regions, linking virtual try-on with product selection and shopping cart access.

Explore live visitor support with operator whispering, knowledge access, ticket handling, and faster real-time responses.

SCTE 130 enables near-real-time auctions, zoned ad delivery, and viewership-based pricing for linear TV spots.

This case associates calls and form data with web activity through appended variables, preserving one business number for richer analytics.

This case uses multi-time ambience specifications and match quality to replace imprecise object or location triggers.

This case uses wish lists, merchant bidding, location data, and total-cost analysis to streamline deal matching.

This case links responsive AI ad targeting with blockchain rewards, compensating users while supporting advertiser transactions.

This case uses browser scripts and analytics to infer engagement with text, images, videos, and ads without altering page rendering.

This case uses concise alphanumeric voice identifiers to activate QR codes and communicate precise locations without physical scanning.

This case uses avatar contact times and interaction counts to spread virtual-space advertising and calculate fees for participants.

Dynamic cue adjustment aligns modified video with frame boundaries, reducing glitches, storage, and bandwidth needs.

A unit controller records CRC codes and play metadata to verify images actually displayed despite missing files or player faults.

This case uses neural networks and interactive overlays to identify video objects and support natural-language virtual environments.

A system divides one GUI into resizable sub-GUI portions for simultaneous content and advertisements without interrupting streaming.

Automated image analysis rearranges content segments to improve engagement.

Metadata, surface detection, and image recognition place external messages within 3D AR scenes instead of disruptive 2D overlays.

An intermediate network entity modifies browser requests and responses using subscriber profiles for more relevant content delivery.

This case separates click-affine and outlier conversions, training on typical data while using outlier bias to refine content selection.

Timestamp-based correlation measures web activity bursts after TV ads without requiring cookies or personal identification.

Swipeable function screens address uniform onboarding by guiding users to relevant app features during initial activation.

Forecast unique advertising users accurately to improve budget planning.

This case uses a matching-based object aggregation page to expand product choices without complicating the live-stream display.

Email text, images, and campaign history train a neural model to recommend relevant subject lines and improve engagement.

A messaging server surfaces time-restricted fashion items, letting users access them before expiration for easier avatar customization.

This case uses screen data and campaign constraints to configure new signage campaigns without manual active-campaign adjustments.

The device combines biometric profiles and external sensor data to generate user guidance and display it at the selected location.

Event-driven image notifications over encrypted VPN tunnels cut polling traffic and support secure sharing on low-power display devices.

This case combines 3D product representations, virtual store layouts, and merchant tools to deliver immersive shopping without travel.

Probabilistic data structures encode CTV user visibility counts, balancing awareness measurement with lower memory use.

Iterative pseudo-universe and panel representations estimate reach across media while limiting memory use and processing complexity.

This case ranks historical and target interaction parameters so recommendations help users reach higher levels and access more rights.

An account-code database separates printed labels from URLs, enabling rapid reassignment, scan tracking, and anonymous access.

Blockchain contracts replace manual drafting with automated influencer revenue compliance.

Accelerometers, gyroscopes, and magnetometers compare device changes with likelihood indices to separate engaged from disengaged viewing.

Timestamped metadata links content moments to interactive applications and engagement.

A cloud server selects creatives and materials by device identifier, then splices personalized ads to address fixed-style delivery.

Ranks candidate information by upgrade difficulty to help users reach higher levels faster.