GEOSPATIALLY RELEVANT SUPPLY CHAIN OPTIMIZATION THROUGH A NETWORKED MOBILE DEVICE THAT LEVERAGES A DISTRIBUTED COMPUTING ENVIRONMENT
First Claim
1. A method of a mobile device, comprising:
- accessing an inventory database remotely stored in a distributed computing environment through a network in which the mobile device operates based on a present geospatial location of the mobile device;
automatically submitting a query to the inventory database from the mobile device requesting at least one of a stock keeping unit information, an inventory count information, an inventory type information, and a min/max level of an item in a present geospatial vicinity of the mobile device using a processor and a memory of the mobile device, wherein the present geospatial vicinity is based on the present geospatial location of the mobile device, the angle, and directional compass of the mobile device;
analyzing a response to the query through a massively parallel computing system accessed by the mobile device through the network; and
presenting to a user of the mobile device an expected value of the stock keeping unit information, the inventory count information, the inventory type information, the inventory type information, and the min/max level of an item in the present geospatial vicinity of the mobile device based on the analysis.
7 Assignments
0 Petitions
Accused Products
Abstract
Disclosed are methods and systems of geospatially relevant supply chain optimization through a networked mobile device that leverages a distributed computing environment. In one embodiment, a method of a mobile includes accessing an inventory database remotely stored in a distributed computing environment through a network in which the mobile device operates based on a present geospatial location of the mobile device, automatically submitting a query to the inventory database from the mobile device requesting a stock keeping unit information, an inventory count information, an inventory type information, and/or a min/max level of an item in a present geospatial vicinity of the mobile device using a processor and/or a memory of the mobile device, analyzing a response to the query through a massively parallel computing system accessed by the mobile device through the network, and presenting to a user of the mobile device an expected value of the stock keeping unit information, the inventory count information, the inventory type information, the inventory type information, and the min/max level of an item based on the analysis.
9 Citations
20 Claims
-
1. A method of a mobile device, comprising:
-
accessing an inventory database remotely stored in a distributed computing environment through a network in which the mobile device operates based on a present geospatial location of the mobile device; automatically submitting a query to the inventory database from the mobile device requesting at least one of a stock keeping unit information, an inventory count information, an inventory type information, and a min/max level of an item in a present geospatial vicinity of the mobile device using a processor and a memory of the mobile device, wherein the present geospatial vicinity is based on the present geospatial location of the mobile device, the angle, and directional compass of the mobile device; analyzing a response to the query through a massively parallel computing system accessed by the mobile device through the network; and presenting to a user of the mobile device an expected value of the stock keeping unit information, the inventory count information, the inventory type information, the inventory type information, and the min/max level of an item in the present geospatial vicinity of the mobile device based on the analysis. - View Dependent Claims (2, 3, 9, 10, 11, 12, 13, 14, 15, 16)
-
- 4. The method of claim 4 wherein a user utilizes an audio recording capability of the mobile device to append an audio note to the updates at least one of the stock keeping unit information, the inventory count information, the inventory type information and the min/max level of an item in a present geospatial vicinity of the mobile device.
-
17. A system of advanced planning and forecasting through massively parallel processing of data using a distributed computing environment, comprising:
-
one or more database management systems (DBMS) to aggregate an advanced planning and forecasting raw data; an extensible computation engine communicatively coupled to the one or more DBMS; one or more processing nodes of the extensible computation engine to perform an advanced planning simulation using the advanced planning and forecasting raw data; an extensible memory cache, communicatively coupled to the extensible computation engine, to cache a result of the advanced planning simulation; an edge cache server near a geographical point of origin of the advanced planning and forecasting raw data to edge cache the result of the advanced planning simulation, wherein the advanced planning and forecasting raw data is a historical or forward-looking data input from at least one of an enterprise resource planning (ERP) program, a customer relationship management (CRM) program, a supplier relationship management (SRM) program, a material resource planning (MRP) program, a stock-keeping unit (SKU) database, and a user client device; a mobile device having a present geospatial location; to automatically submit a query to an inventory database of the DBMS that is communicatively coupled with the mobile device through the extensible computing engine that requests at least one of a stock keeping unit information, an inventory count information, an inventory type information, and a min/max level of an item in a present geospatial vicinity of the mobile device using a processor and a memory of the mobile device, wherein the present geospatial vicinity is based on the present geospatial location of the mobile device, the angle, and directional compass of the mobile device, to analyze a response to the query through a massively parallel computing system accessed by the mobile device through the network, and to present to a user of the mobile device an expected value of the stock keeping unit information, the inventory count information, the inventory type information, the inventory type information, and the min/max level of an item in the present geospatial vicinity of the mobile device based on the analysis. - View Dependent Claims (18, 20)
-
-
19. A non-transitory medium, readable through one or more processing nodes of an extensible computation engine and including instructions embodied therein that are executable through the one or more processing nodes, comprising:
-
instructions to aggregate an advanced planning and forecasting raw data by one or more database management systems (DBMS) communicatively coupled to the extensible computation engine; instructions to perform an advanced planning simulation, by the one or more processing nodes of the extensible computation engine, using the advanced planning and forecasting raw data; instructions to cache a result of the advanced planning simulation in an extensible memory cache communicatively coupled to the extensible computation engine; and instructions to edge cache the result of the advanced planning simulation in an edge cache server near a geographical point of origin of the advanced planning and forecasting raw data, wherein the advanced planning and forecasting raw data is a historical or forward-looking data input from at least one of an enterprise resource planning (ERP) program, a customer relationship management (CRM) program, a supplier relationship management (SRM) program, a material resource planning (MRP) program, a stock-keeping unit (SKU) database, and a user client device; and instructions to automatically respond to a query from a mobile device having a present geospatial location communicatively coupled to an inventory database of the DBMS that is communicatively coupled with the mobile device through the extensible computing engine that requests at least one of a stock keeping unit information, an inventory count information, an inventory type information, and a min/max level of an item in a present geospatial vicinity of the mobile device, wherein the present geospatial vicinity is based on the present geospatial location of the mobile device, the angle, and directional compass of the mobile device.
-
Specification