Dynamic Entity Data Control for Temporary Market Expansion
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Solution Overview
Problem
Relocating a business to a new location or establishing a temporary presence in a different geographic area is costly and risky, as it often requires setting up physical space, hiring employees, and investing in computing resources, making it prohibitive for entities looking to expand temporarily.
Innovation Solution
A system utilizing machine learning to identify suitable second entities or locations where an entity can temporarily operate, allowing the use of existing resources such as physical space, employees, and computing systems without the need for extensive investment, by generating recommendations for second markets and entities through data analysis and executing instructions to modify data and systems for seamless integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an entity relocates to a new location or establishes a temporary presence in a different geographic area, then the entity can expand its market reach and operational capacity, but the costs and risks increase significantly due to the need to set up physical space, hire employees, and invest in computing resources
Solution Approach 1:
The patent enables entities to serve themselves by providing their own physical space, employees, and computing resources to other entities temporarily. This allows the entity to monetize its underutilized resources while avoiding the costs of establishing new physical locations, thereby expanding market reach with minimal investment.
Solution Approach 2:
The system creates a multi-functional platform that matches various types of entities (individuals, businesses, organizations) with different resource types (physical space, employees, computing resources) across multiple geographic locations. This universal matching capability enables any entity to temporarily operate in new markets by leveraging existing resources from other entities.
2Reliability
If an entity establishes a brick and mortar location in a new region, then it can provide a permanent presence and build customer trust, but the costs become prohibitive and the flexibility to relocate or scale back is reduced
Solution Approach 1:
The patent implements a dynamic resource sharing system where entities can temporarily lease their resources for specific time periods and geographic locations. This allows entities to maintain a flexible presence in multiple markets without committing to permanent locations, enabling them to scale back or relocate easily based on market conditions while still providing reliable service during their operational periods.
Solution Approach 2:
The system allows entities to preliminarily establish a presence in new markets by leveraging existing resources before committing to permanent locations. Entities can test new markets, build customer relationships, and validate business models by temporarily operating through host entities' resources, thereby reducing the risk and cost of permanent establishment while maintaining operational reliability during the trial period.
3Ease of operation
If an entity hires employees and establishes computing resources in a new location, then it can operate independently and maintain control, but the setup time and complexity increase significantly
Solution Approach 1:
The patent merges the resources of multiple entities by allowing one entity to temporarily operate using another entity's physical space, employees, and computing resources. This consolidation enables the operating entity to function independently in a new location immediately by leveraging the host entity's existing infrastructure, eliminating the need for time-consuming setup processes while maintaining operational control through digital coordination and resource management protocols.
Data Source
AI summary
Systems for dynamic entity data control are provided. In some examples, a system may receive a request to generate a recommendation for a second region or area for the entity to operate and/or a request for a second entity to house the entity during operating in the second region or area. The system may generate and transmit requests for additional data. The requests for additional data may include requests for data about the entity, as well as requests for data about a plurality of other entities, other regions or areas, and the like. Response data may be received by the system and may be analyzed using machine learning. Once the recommendation has been generated, one or more instructions may be generated and transmitted to an entity computing system, a computing system of the second or temporary entity, or the like. The generated instruction may then be executed to modify data, display additional or new data, or the like.