Localized AI Messaging With Embedded Shortcodes for Location Clarity

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Solution Overview

Problem

Existing systems face challenges in efficiently displaying and communicating location-based information on smaller devices with limited screen space, while also addressing language and interoperability issues across various communication platforms, without increasing clutter or ambiguity.

Innovation Solution

The implementation of imbedded Shortcodes (ISCs) that are integrated with full names or addresses, allowing for concise and human-readable references that can be easily understood and remembered, and are compatible with both digital and print media, leveraging existing addressing systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If full names or addresses are displayed to provide complete location information, then information completeness is improved, but screen space consumption increases

Engineering Contradiction:
Improvelocation information completenessVSAvoidscreen space
Core Design Contradiction:
Loss of informationVSArea of stationary object

Solution Approach 1:

The patent segments location information into two parts: a displayed full name/address for information completeness and a hidden shortcode for efficient storage and transmission. The shortcode serves as a compact representation that can be stored in a database, allowing the system to reference locations without displaying lengthy addresses, thus resolving the contradiction between information completeness and screen space utilization.

Inventive Principle:
Principle #1Segmentation

2Area of stationary object

If shortcodes are used to reduce character usage, then space efficiency is improved, but ambiguity increases without contextual integration

Engineering Contradiction:
Improvecharacter spaceVSAvoidreference accuracy
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

The patent merges the full name/address display with the shortcode system by integrating them in the user interface. The full name is displayed prominently while the shortcode is shown in a visually distinct manner (e.g., different color, font style, or position), allowing users to understand both the complete location reference and its compact code representation simultaneously. This integration eliminates ambiguity while maintaining space efficiency.

Inventive Principle:
Principle #5Merging (Combining)

3Adaptability or versatility

If localized content is provided for different languages and regions, then user relevance is improved, but system complexity increases

Engineering Contradiction:
Improvelanguage and region adaptationVSAvoidsystem architecture
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a shortcode as an intermediary that mediates between the user's language/region preferences and the underlying location data. Instead of storing and managing multiple language versions of every address, the system stores location information in a standardized format with associated shortcodes. When a user queries for location information, the system retrieves the shortcode and presents it in the user's preferred language context, significantly reducing system complexity while maintaining high adaptability.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250348655A1Ai-powered contextual, localized, and personalized chat, messaging, voice, search, and other communications
Publication Date: 2025.11.13 WGRS LICENSING CO LLC
  • US20250348655A1 patent drawing
  • US20250348655A1 patent drawing
  • US20250348655A1 patent drawing

AI summary

Systems and methods utilizing artificial intelligence (AI) providing contextual, localized, and personalized chat, voice, messaging, search, and other communications. AI-assisted smart sending, receiving, and remote agents analyze, interpret, resolve, and enhance chat, messaging, voice, search, and other communications, either automatically or upon user request. AI-assistance is based on one or more known, projected, or ascertainable locations and/or all known or ascertainable contextual, identity, device, and other information related to the chats, messages, voice, search, search results, or other communications.