Abstract: Systems and methods for facilitating computer-vision-based detection and identification of consumer products comprise a support surface for supporting thereon one or more consumer products to be detected and a plurality of digital cameras each arranged at a different height relative to the support surface and positioned such that a field of view of each of the digital cameras includes the consumer product(s) located on the support surface. Movement of the support surface and/or the digital cameras permits the digital cameras to capture images of the consumer product from different angles of view and up to a full 360 degree of rotation around the at least one consumer product. A computing device uses at least the image data from such images to train a computer vision consumer product identification model to generate a reference image data model to be used for recognition of the at least one consumer product.

Abstract: Systems and methods for identifying, tracking usage of, and replenishing products on a shelf of a product storage unit include a pressure sensor array positioned on the shelf and configured to detect forces exerted on the pressure sensor array by each of the products located on the shelf. An electronic database stores reference pressure array data representative of a reference pressure data model relative to each of the products. A computing device obtains a pressure data set associated with a product that was captured by the pressure sensor array when the product was positioned on the pressure sensor array, and correlates the pressure data set associated with the product with the reference pressure array data stored in the electronic database to determine an identity of the product and a consumption level of the product, automatically replenishing the product when consumption of the product is above a set threshold.

Abstract: The disclosed systems and methods join a user to a primary communication channel that is associated with an automated human interface module. The automated human interface module includes a plurality of nodes. A message including a text communication is posted by the user and sent to a decision module associated with a plurality of classifiers. The decision module is configured to identify a node that best matches the text communication in accordance with the plurality of classifiers. Each respective classifier produces a respective classifier result thereby producing a plurality of classifier results. Each respective classifier result identifies a respective node of the plurality of nodes best matching the text communication. The plurality of classifier results is collectively considered, and the node best matching the text communication is identified and the text communication is sent to the identified node.

Abstract: The disclosed systems and methods join a user to a primary communication channel that is associated with an automated human interface module. The automated human interface module includes a plurality of nodes. A message including a text communication is posted by the user and sent to a decision module associated with a plurality of classifiers. The decision module is configured to identify a node that best matches the text communication in accordance with the plurality of classifiers. Each respective classifier produces a respective classifier result thereby producing a plurality of classifier results. Each respective classifier result identifies a respective node of the plurality of nodes best matching the text communication. The plurality of classifier results is collectively considered, and the node best matching the text communication is identified and the text communication is sent to the identified node.

Abstract: The disclosed systems and methods join a user to a primary communication channel that is associated with an automated human interface module. The automated human interface module includes a plurality of nodes. A message including a text communication is posted by the user and sent to a decision module associated with a plurality of classifiers. The decision module is configured to identify a node that best matches the text communication in accordance with the plurality of classifiers. Each respective classifier produces a respective classifier result thereby producing a plurality of classifier results. Each respective classifier result identifies a respective node of the plurality of nodes best matching the text communication. The plurality of classifier results is collectively considered, and the node best matching the text communication is identified and the text communication is sent to the identified node.

Abstract: Systems and methods for identifying, tracking usage of, and replenishing products on a shelf of a product storage unit include a pressure sensor array positioned on the shelf and configured to detect forces exerted on the pressure sensor array by each of the products located on the shelf. An electronic database stores reference pressure array data representative of a reference pressure data model relative to each of the products. A computing device obtains a pressure data set associated with a product that was captured by the pressure sensor array when the product was positioned on the pressure sensor array, and correlates the pressure data set associated with the product with the reference pressure array data stored in the electronic database to determine an identity of the product and a consumption level of the product, automatically replenishing the product when consumption of the product is above a set threshold.

Abstract: Systems and methods for facilitating computer-vision-based detection and identification of consumer products comprise a support surface for supporting thereon one or more consumer products to be detected and a plurality of digital cameras each arranged at a different height relative to the support surface and positioned such that a field of view of each of the digital cameras includes the consumer product(s) located on the support surface. Movement of the support surface and/or the digital cameras permits the digital cameras to capture images of the consumer product from different angles of view and up to a full 360 degree of rotation around the at least one consumer product. A computing device uses at least the image data from such images to train a computer vision consumer product identification model to generate a reference image data model to be used for recognition of the at least one consumer product.

Abstract: The disclosed systems and methods join a user to a sub-channel within a primary communication channel. A message from the user comprises a user identifier and a text communication. The communication is compared to each tag in each set of tags in a plurality of sets of tags, each set of tags being uniquely associated with (i) a different chatbot in one or more chatbots associated with the sub-channel or (ii) a different node within a plurality of nodes in a chatbot. The communication is routed to a first chatbot in the one or more chatbots, or a first node within the first chatbot, on the basis of being associated with a tag that best matches the communication. A responsive message by the first chatbot within the sub-channel includes the user identifier, thereby facilitating a conversation between the user and an enterprise data source associated with the sub-channel.

Abstract: The disclosed systems and methods join a user to a sub-channel within a primary communication channel. A message from the user comprises a user identifier and a text communication. The communication is compared to each tag in each set of tags in a plurality of sets of tags, each set of tags being uniquely associated with (i) a different chatbot in one or more chatbots associated with the sub-channel or (ii) a different node within a plurality of nodes in a chatbot. The communication is routed to a first chatbot in the one or more chatbots, or a first node within the first chatbot, on the basis of being associated with a tag that best matches the communication. A responsive message by the first chatbot within the sub-channel includes the user identifier, thereby facilitating a conversation between the user and an enterprise data source associated with the sub-channel.

Abstract: Disclosed systems and methods join a user to pre-existing primary communication channels based upon the information obtained from a user profile. Each channel hosts a different plurality of users and facilitates electronic communication between a corresponding enterprise data source and a remote user device associated with the user. The user is joined to one or more sub-channels associated within a primary channel. A message posted by the user is received and comprises a key identifying a sub-channel, an API token identifying the user, and a first communication. In response, an automated human interface module (bot), which includes a node graph to direct one or more states of a conversation, posts a responsive message including the key, the API token, and a second communication. The API token and key route the responsive message to the user device thereby initiating a secure conversation between the user device and an enterprise data source.

Abstract: Disclosed systems and methods join a user to pre-existing primary communication channels based upon the information obtained from a user profile. Each channel hosts a different plurality of users and facilitates electronic communication between a corresponding enterprise data source and a remote user device associated with the user. The user is joined to one or more sub-channels associated within a primary channel. A message posted by the user is received and comprises a key identifying a sub-channel, an API token identifying the user, and a first communication. In response, an automated human interface module (bot), which includes a node graph to direct one or more states of a conversation, posts a responsive message including the key, the API token, and a second communication. The API token and key route the responsive message to the user device thereby initiating a secure conversation between the user device and an enterprise data source.