Abstract: Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.

Abstract: A system for categorizing words into clusters includes a receiver to receive a set of sentences formed by a plurality of words. The set of sentences is indicative of interaction of a user with a virtual assistant. A categorizer categorizes the plurality of words into a first set of clusters by using a first clustering technique, and categorizes the plurality of words into a second set of clusters by using a second clustering technique. A detector detects words that appear in similar clusters after categorization by the first clustering technique and the second clustering technique. Similarity of clusters is based on a nature of words forming the clusters. A generator generates a confidence score for each of the plurality of words based on the detection. The confidence score of a word is indicative of accuracy of the categorization of the word.

Abstract: Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.

Abstract: A system for categorizing words into clusters includes a receiver to receive a set of sentences formed by a plurality of words. The set of sentences is indicative of interaction of a user with a virtual assistant. A categorizer categorizes the plurality of words into a first set of clusters by using a first clustering technique, and categorizes the plurality of words into a second set of clusters by using a second clustering technique. A detector detects words that appear in similar clusters after categorization by the first clustering technique and the second clustering technique. Similarity of clusters is based on a nature of words forming the clusters. A generator generates a confidence score for each of the plurality of words based on the detection. The confidence score of a word is indicative of accuracy of the categorization of the word.

Abstract: A system and method for tracking an item on a pallet in a warehouse is provided. The system includes at least one pallet, designated storage locations in the warehouse, a vehicle for lifting, moving, and setting down pallets, a motion sensor, an image processor, a server, and an algorithm. The motion sensor and the image processer are provided on the vehicle. Both the motion sensor and the image processor are wireless enabled. The motion sensor is capable of determining the lifting, moving and setting down of pallets, and is configured to send lifting, moving, and setting down information when the motion sensor senses motion to the algorithm. The image processor is provided with a field of view capable of processing images of the pallet and the location of the pallet when the pallet is in contact with the vehicle.

Abstract: A system and method for the operation and navigation of a moving vehicle in a warehouse environment includes a controller for controlling operation of the vehicle and an imaging device configured to capture an image representing a view from the vehicle. Location labels are configured for being positioned in the warehouse environment and include location indicia. A navigation processor is operatively coupled to the imaging device and configured to determine a location of the vehicle based at least in part on the image of the location label, the navigation processor further coupled with the controller to control the movement of the vehicle based on the determined location.