TITLE OF THE INVENTION

SYSTEMS AND METHODS FOR AN INTEGRATED LOGISTICS AND STRATEGIC INTELLIGENCE PLATFORM

BACKGROUND OF THE INVENTION

The present invention relates generally to the fields of artificial intelligence, logistics management, and computer software applications. There is a need for a platform that not only solves the logistical friction of travel but also provides a method for strategic business analysis based on the platform's operational data and external intelligence.

SUMMARY OF THE INVENTION

The present invention provides a novel logistics and intelligence platform comprising three primary inventive concepts. The first is a client-side method, embodied in a software application, for providing an on-demand luggage delivery service. The second is a server-side Strategic Intelligence Engine that synthesizes an internal knowledge base with real-time web data to generate analytical reports. The third is a business intelligence method for processing anonymized, aggregated logistics data from the platform's operations to generate predictive insights into human mobility patterns. Together, these inventions create a comprehensive and defensible technology platform.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings illustrate the operational flow of the client-side logistics method.

FIG. 1 illustrates the core end-to-end luggage delivery method.
FIG. 2 illustrates the "Airbagged™" subprocess for delivery to a secure, intermediate location.
FIG. 3 illustrates the subprocess for integrating with a third-party car rental service.

DETAILED DESCRIPTION OF THE INVENTION

Part A: The Integrated Logistics Interface and Method of Use (Client-Side)

This method is embodied in a software application (e.g., React Native or React). The application provides a user interface for collecting origin/destination addresses and luggage parameters. A `handleSubmit` function constructs a JSON payload with this data, performs validation and unit conversions (e.g., pounds to ounces), and transmits the payload via HTTPS POST request to a server endpoint. In response, the application receives a unique `tracking_code` and a `label_url` for each luggage item, which are displayed to the user.

A specific embodiment of this method is the **"Airbagged™"** feature, wherein the user selects a secure intermediate location (e.g., a locker) as the destination. The system then sends a unique access code to the user upon successful delivery, as depicted in FIG. 2.

Another specific embodiment is the **"Car Rental Integration,"** wherein the system communicates via API with a car rental company's server to synchronize delivery with a vehicle reservation, allowing luggage to be placed directly in the user's rental car, as depicted in FIG. 3.

Part B: The Strategic Intelligence Engine (Server-Side)

This engine is a cloud-native service with a server application (e.g., Node.js) and a generative AI model (e.g., Gemini). It constructs a Dynamic Unified Knowledge Base by reading a variable set of local files (e.g., `business_plan.txt`). When prompted with a query, it performs a live web search and sends a comprehensive prompt containing the query, knowledge base, and web results to the AI model. A further inventive step is its ability to respond to a proactive prompt (e.g., "Generate a tailwinds report") by analyzing the data to discover and report novel strategic insights.

Part C: The Predictive Mobility Intelligence Method (Data Analysis)

This method comprises the steps of: collecting anonymized, aggregated operational data from the logistics platform (including, but not limited to, origin ZIP codes, destination ZIP codes, luggage item counts, and travel frequency); storing this data in a data warehouse; processing the data to identify statistically significant patterns and trends in human mobility; and generating a separate, marketable business intelligence report or data product based on these findings.

CLAIMS

A computer-implemented method for generating a shipping label, comprising: receiving, on a client computing device via a graphical user interface, an origin address, a destination address, and parameters for a luggage item; constructing, by the client device, a data payload comprising said data; transmitting, from the client device to a server, the data payload; and receiving, at the client device from the server, a URL corresponding to a printable shipping label and a unique tracking code.
The method of claim 1, wherein the destination address is a secure intermediate location, and the method further comprises receiving an access code for said location.
The method of claim 1, wherein the destination address is associated with a rental vehicle, and the method further comprises synchronizing delivery with a vehicle rental reservation via an API call to a car rental server.
A computer-implemented method for generating a strategic report, comprising: loading, at a server, a knowledge base from local files; receiving real-time search results from a web search API; generating a comprehensive prompt comprising the knowledge base and search results; and receiving, from a generative AI model, a synthesized report containing a novel strategic insight derived from the comprehensive prompt.
A computer-implemented method for generating mobility intelligence, comprising: collecting anonymized, aggregated operational data from a logistics platform, said data including origin and destination locations; processing said data to identify patterns in mobility; and generating a business intelligence report based on the identified patterns.
A system comprising a server and a client device configured to perform the method of claim 1.
A system comprising a server configured to perform the method of claim 4.
A system comprising a data warehouse and a server configured to perform the method of claim 5.