Location-Based Data Distribution for Mobile Inventory Management
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Solution Overview
Problem
Merchants face challenges in managing inventory and supply chain logistics due to the need for quick inventory turnover and the complexity of managing location-based sales, especially with the rise of mobile devices and online transactions, which require efficient distribution of data such as offers to mobile devices based on their location and range.
Innovation Solution
A system and method for location-based distribution of data that includes a processor and memory to retrieve and match application information on mobile devices with location data and ranges from partner systems, identifying eligible applications and transmitting relevant data messages over a communications network to these devices, enabling targeted offers and inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If data is distributed to all mobile devices regardless of location, then data coverage is maximized, but network bandwidth and system resources are wasted
Solution Approach 1:
The system applies local quality by distributing data selectively based on geographic location. Each mobile device receives data only if it is within the specified geographic area associated with the offer, rather than universally distributing to all devices. This is achieved by comparing device location data with offer location criteria, ensuring resources are consumed only where relevant.
Solution Approach 2:
The system performs preliminary action by pre-filtering mobile devices based on their location before data distribution. The server determines which devices are within the target geographic area in advance of actual data transmission, allowing for efficient resource allocation and avoiding unnecessary network traffic to devices that cannot receive or act on the offers.
2Loss of energy
If location-based filtering is applied to data distribution, then network efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by introducing a server that acts as a mediator between the data source and mobile devices. The server handles the complex location-based filtering logic, receiving offers with geographic criteria and device location data, performing the matching, and distributing only relevant data. This centralizes the complexity in a dedicated component rather than requiring complex logic in each device or distributed across the entire system.
3Productivity
If offers are targeted to specific locations, then inventory turnover speed is improved, but data distribution complexity increases
Solution Approach 1:
The system applies local quality by associating specific offers with specific geographic locations where inventory is available. Offers are distributed only to devices within those locations, enabling targeted promotions that drive local inventory turnover. This location-specific targeting allows merchants to move inventory efficiently without requiring complex distributed decision-making across the entire system.
Data Source
AI summary
Systems, methods, and computer program products are provided for location-based distribution of data. One or more sets of data from one of a plurality of partner systems are received and stored, each set of data including at least one of a location data and a range. Application information associated with each application of a plurality of applications stored on respective mobile device is retrieved. The application information includes at least application location information. A pool of eligible applications are identified from the plurality of applications, based on the application location information of each of the plurality of applications and at least one of the location data and range of one of the one or more sets of data. A message is generated for each of the applications in the pool of eligible applications, the message including at least a portion of the one of the one or more sets of data. The respective messages are transmitted over a communications network to the applications in the pool of eligible applications.