EVENT-BASED SALES PREDICTION
First Claim
1. A method for monitoring real-time data to manage inventory, the method comprising:
- simultaneously monitoring a plurality of real-time data sources to detect an upcoming event;
matching the detected upcoming event to one or more categories;
retrieving, from a database, static data corresponding to each of the one or more categories that matches the detected upcoming event, the static data based upon sales data related to at least one past event;
stacking the retrieved static data from each of the matched categories to generate a forecast for the detected upcoming event; and
comparing the forecast and an existing inventory to generate a task with an inventory management module.
2 Assignments
0 Petitions
Accused Products
Abstract
A system identifies statistically significant variation in sales volume in response to occurrence of an event as well as attendant factors relating to the event. Past events of the same type are identified that fit into one or more categories. The sales data for these past events are aggregated and any statistically significant variation due to the one or more selection criteria can be identified. A forecasting model is then updated to include the one or more categories as factors impacting sales volume. Examples of events include planned events such as holidays and sporting events and unplanned events such as extreme weather or other natural disasters.
-
Citations
20 Claims
-
1. A method for monitoring real-time data to manage inventory, the method comprising:
-
simultaneously monitoring a plurality of real-time data sources to detect an upcoming event; matching the detected upcoming event to one or more categories; retrieving, from a database, static data corresponding to each of the one or more categories that matches the detected upcoming event, the static data based upon sales data related to at least one past event; stacking the retrieved static data from each of the matched categories to generate a forecast for the detected upcoming event; and comparing the forecast and an existing inventory to generate a task with an inventory management module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A system for monitoring real-time data to manage inventory comprising one or more processors and one or more memory devices coupled to the one or more processors, the one or more memory devices storing executable code effective to cause the one or more processors to:
-
simultaneously monitor a plurality of real-time data sources to detect an upcoming event; match the detected event to one or more categories; retrieve, from a database, static data corresponding to each of the one or more categories that matches the detected upcoming event, the static data based upon sales data related to at least one past event; stack the retrieved static data from each of the matched categories to generate a forecast for the detected upcoming event; and compare the forecast and an existing inventory to generate a task with an inventory management module. - View Dependent Claims (17, 18, 19, 20)
-
Specification