Disclosed are various embodiments of a food safety management system, including a web portal for management and reporting and a handheld computing device for checklist completion. A checklist of tasks to be performed in a food service establishment is obtained and displayed on a touchscreen of the handheld computing device. Confirmation is obtained on the touchscreen whether a task has been completed. An identifier at a location in the food service establishment is inputted to verify that a task has been completed. Temperature and humidity readings are obtained from one or more stationary sensors monitoring a food storage environment. Task completion data, temperature data, and humidity data are sent to a server.

Aspects of the present invention provide for methods that index geographic locations with comparative indicators that are determined from a sentiment analysis of opinion data, wherein the comparative indicators may include sums of different indices that are each determined from sentiment analysis of opinion data.

The present disclosure provides computer-implemented method and a system for classification and sorting of one or more addresses to increase productivity of classification and sorting process of the one or more addresses. The system logically partitions a geographical region into one or more zones in real-time. The system fetches an address data from an entity of the one or more entities containing destination address. Further, the system extracts one or more points of interests from the fetched address data based on hardware-run machine learning algorithms. Furthermore, the system generates a signal to determine a zone of the one or more zones associated with the entity of the one or more entities. The system logically updates the one or more zones based on the extracted one or more points of interests in real-time.

Systems, apparatuses, and methods are provided herein for analyzing social media messages for inventory management. A system for analyzing social media messages comprises a communication device, an item identifier database, an inventory database, and a control circuit. The control circuit is configured to aggregate a plurality of social media messages, identify a plurality of messages of interest associated with customers seeking items to purchase, for each message of interest of the plurality of messages of interest: identify an item of interest based on comparing a text of the message of interest with identifying texts in the item identifier database, and identify a customer location associated with the message of interest; determine an item in demand for a geographic location, determine a stock information of the item in demand in the geographic location, and automatically generate an order for the item in demand to be stocked at the geographic location.

The present disclosure provides a computer-implemented method of acquiring customer insight information in a retail environment. The method includes receiving a product interaction from a mobile device, the product interaction comprising a product identifier corresponding to a product located in the retail environment. The method also includes determining a customer location within the retail environment based on a planned location of the product. The method also includes performing a business action based, at least in part, on the product interaction. The method also includes storing customer insight information corresponding to the product interaction to a data structure.

In one embodiment, a computing system receives a number of location updates sent by one or more users. These location updates may have different geographic locations, but refer to the same place or point of interest. Each location update corresponds to a user visit to the place or point of interest, and each location update is determined by a mobile client device of the corresponding user. The mobile client device may determine a location update by any one or more of a number of location methods available to the mobile client device. The computing system determines a ping compensation factor to be associated with the place or point of interest. The ping compensation factor is based on a total number of visits to the particular place, versus the subset of visits to the particular place determined by a first location method from the number of location methods.

A method of generating individualized real-time weather and environmental information, including receiving weather or environmental condition data from weather and environmental sensors, analyzing the data received from the sensors to generate weather and environmental information, and transmitting the information to a communicator device. The method may include determining a spatial range of a sensor and/or determining if a communicator device is within close proximity of a sensor. The sensors may be mounted in fixed locations along a roadway or a railway. The sensors may be approximately equidistant.

Systems and methods for creation of custom behavior zones for autonomous vehicles, providing a more tailored experience for passengers as well as businesses. Custom behavior zones allow passengers to request or select a specific pick-up/drop-off location on private property. In some examples, custom behavior zones are created in private gated communities, on residential properties with long driveways, on government property, and at businesses that have multiple entrances and/or offer different services at various locations on the business property.

Systems for predicting cash demand within a geographic region using various electronic resources is provided. In an example, a non-transitory, machine-readable medium, comprising instructions, which when performed by a machine, causes the machine to perform operations to receive cash information from one or more databases, and create a predictive cash demand map for a time period using the cash information.

The present invention is a system and method for improving the accuracy with which marketing efficacy can be measured and improved using human behavioral insights. The process aligns at least two different data sets and normalizes the information by removing statistical bias. In a particular implementation motor vehicle data is collected by census of hotelier transaction data. The transaction data is overlaid upon observed vehicle data which is captured by a triggering event. The system statistically analyses the data resulting from the combined data sets and provides a report with a recommendation to a human user.