公开(公告)号：US20190197605A1

公开(公告)日：2019-06-27

申请号：US16221320

申请日：2018-12-14

申请人： Symphony RetailAI

发明人： Stuart Sadler ,  Ayaz Ali ,  Aabhas Chandra ,  Withiel Cole ,  Andrew Harris ,  Vishal Kirpalani ,  Ernesto Laval ,  Tristan Maw ,  Stephanie Seiermann ,  Pallab Chatterjee

IPC分类号： G06Q30/06 ,  G06T19/00 ,  G06F16/9032 ,  G06F16/903 ,  G06F16/9038

CPC分类号： G06Q30/0224 ,  G06F16/90332 ,  G06F16/90335 ,  G06F16/9038 ,  G06Q10/06393 ,  G06Q30/0202 ,  G06Q30/0214 ,  G06Q30/0231 ,  G06Q30/0643 ,  G06T19/003

摘要： Systems and methods for processing queries against a large database of transactions. An initial query is processed by a lead analysis engine, but processing does not stop there; the output of the lead analysis engine is used to provide general context, and is also used to select a further-processing module. Multiple results, from multiple further-processing modules, are displayed in a ranked list (or equivalent). The availability of multiple directions of further analysis helps the user to develop an intuition for what trends and drivers might be behind the numbers. Most preferably the resulting information is used to select one or more objects in an immersive environment. The object(s) so selected are visually emphasized, and displayed to the user along with other query results. Optionally, some analysis modules not only process transaction records, but also process customer data (or other exogenous non-transactional data) for use in combination with the transactional data. The customer data will often be high-level, e.g. demographics by zip code, but this link to exogenous data provides a way to link to very detailed customer data results if available.