US 12,450,542 B2
Conversational business tool
Olivia Margot Perryman, Ottawa (CA); Drew Blackmore, Ottawa (CA); and Marcio Oliveira Almeida, Ottawa (CA)
Assigned to Kinaxis Inc., Ottawa (CA)
Filed by Kinaxis Inc., Ottawa (CA)
Filed on Aug. 25, 2023, as Appl. No. 18/456,378.
Application 18/456,378 is a continuation of application No. 17/866,721, filed on Jul. 18, 2022, granted, now 11,775,913.
Application 17/866,721 is a continuation of application No. 16/120,146, filed on Aug. 31, 2018, granted, now 11,423,347, issued on Aug. 23, 2022.
Prior Publication US 2023/0410021 A1, Dec. 21, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/0639 (2023.01); G06F 16/242 (2019.01); G06F 16/334 (2025.01); G06F 40/30 (2020.01); G06Q 10/0631 (2023.01)
CPC G06Q 10/06393 (2013.01) [G06F 16/243 (2019.01); G06F 16/3344 (2019.01); G06F 40/30 (2020.01); G06Q 10/06315 (2013.01)] 21 Claims
OG exemplary drawing
 
8. A system comprising:
a processor; and
a memory storing instructions that, when executed by the processor, configure the system to:
access, by the processor, a respective individual natural language processor (NLP) by a respective NLP user, wherein the respective individual NLP is custom to the respective NLP user;
deduce, by the respective individual NLP, a respective intent and one or more respective entities from a respective oral query;
communicate the respective intent and the one or more respective entities from the respective individual NLP to a common Fulfillment Application Program Interface (F-API), wherein the common F-API is operatively connected to a plurality of the respective individual NLPs;
create, by the processor, a respective communication between each respective individual NLP with the common F-API in operative communication with a database application program interface (D-API), each respective communication marked by a respective identification;
obtain, by the common F-API from the D-API, respective data associated with the respective intent and the one or more respective entities from a respective database associated with the respective individual NLP, wherein the common F-API converts the respective intent to a specific data request, which is then communicated to the D-API;
for each respective communication:
in response to a first type of intent:
group and summarize the respective data associated with the respective intent and the one or more respective entities; and
form a respective first conversational response to the respective NLP user;
in response to a second type of intent:
compare data related to the one or more respective entities for a respective time horizon with data related to the one or more respective entities for a respective future time horizon;
form a respective second conversational response to the respective NLP user comprising a respective comparison of data;
in response to a third type of intent:
identify a respective subset of the one or more respective entities based on a previous dialogue involving at least one of the respective first conversational response and the respective second conversational response;
obtain further information about the respective subset of the one or more respective entities;
group and summarize, data related to the respective subset of the one or more respective entities; and
form a respective third conversational response to the respective NLP user comprising information about data that has not been previously conveyed by either the respective first conversational response or the respective second conversational response;
and
send, by the common F-API, each of the respective first, respective second and respective third conversational responses for voice output through a respective communication channel to a respective NLP user device associated with the respective individual NLP of the respective NLP user.