A parcel delivery system is provided for use in complex having a plurality of tenant units each having a tenant address, wherein the complex further comprising an intake facility, a delivery facility, and parcel storage boxes, and wherein the intake facility comprises a scanning station and a first automated ground delivery vehicle in communication with the scanning station and wherein the delivery facility comprises a second automated ground delivery vehicle configured to travel between the delivery station and tenant units. In accordance with embodiments, a computer system interfaces with the parcel delivery system to notify tenants when they have a parcel and to further notify tenants when delivery of the parcel has been completed.

According to the embodiments illustrated herein, a method is disclosed. The method comprises receiving, by a computing device comprising a processor, an input from an operator device, wherein the input facilitates determining a task to be performed. Further, the method comprises activating, by the computing device, a first light device associated with a first location in a workplace in response to receiving the input, wherein the first location is associated with the task to be performed. Furthermore, the method comprises receiving, by the computing device, a first voice input from the operator device, indicative of an exception encountered during execution of the task. Additionally, the method includes modifying the task, in response to determining that the first voice input is indicative of the exception encountered during execution of the task.

According to the embodiments illustrated herein, a method is disclosed. The method comprises receiving, by a computing device comprising a processor, an input from an operator device, wherein the input facilitates determining a task to be performed. Further, the method comprises activating, by the computing device, a first light device associated with a first location in a workplace in response to receiving the input, wherein the first location is associated with the task to be performed. Furthermore, the method comprises receiving, by the computing device, a first voice input from the operator device, indicative of an exception encountered during execution of the task. Additionally, the method includes modifying the task, in response to determining that the first voice input is indicative of the exception encountered during execution of the task.

Initial sales cluster is divided by the control circuit into a plurality of velocity buckets. Subsequently, each velocity bucket is divided into a plurality of micro-clusters. The micro-clusters are defined according to demographic information or store characteristic information. A importance score and a performance score for each of the micro-clusters is determined. An optimal sales cluster and a corresponding optimal planogram for each retail store in each micro-cluster are determined based upon the importance score and the performance score.

Initial sales cluster is divided by the control circuit into a plurality of velocity buckets. Subsequently, each velocity bucket is divided into a plurality of micro-clusters. The micro-clusters are defined according to demographic information or store characteristic information. A importance score and a performance score for each of the micro-clusters is determined. An optimal sales cluster and a corresponding optimal planogram for each retail store in each micro-cluster are determined based upon the importance score and the performance score.

Theft increases the average product cost to consumers. A mentoring system is presented that can help to reduce or prevent the inventory from lost or theft. Theft is a serious concern in the consumer market place. Industry loses billions per year on theft of merchandise. According to a Reuters report, last year, thefts by employees of U.S. retail merchandise accounted for $15.9 billion, or 44 percent of theft losses at stores, more than shoplifting and vendor fraud combined. Thus, the total thief by the customers and store employees during the year 2008 amounted to $36 billion. Several embodiments of ways to control or reduce the thefts in the market place are presented.

Theft increases the average product cost to consumers. A mentoring system is presented that can help to reduce or prevent the inventory from lost or theft. Theft is a serious concern in the consumer market place. Industry loses billions per year on theft of merchandise. According to a Reuters report, last year, thefts by employees of U.S. retail merchandise accounted for $15.9 billion, or 44 percent of theft losses at stores, more than shoplifting and vendor fraud combined. Thus, the total thief by the customers and store employees during the year 2008 amounted to $36 billion. Several embodiments of ways to control or reduce the thefts in the market place are presented.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.

The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.