A system, method and computer readable medium for dynamically determining location-based rules affecting item sales at POS registers for a particular location and for distributing the location-based rules to the POS registers is discussed. A location-based ruleset of rules regulating sales of items at an individual store is created and transmitted to the store along with a rule group to item map file that maps rules and warnings to individual store items. A rules engine at the store provides updated item sale rules and warnings to POS registers based on the location-based ruleset and rule group to item map file. Embodiments thus provide an improved system for updating POS registers at different store locations with location-based rules specific to the store location.

There are provided systems and methods for utilizing a vehicle to determine an identity of a user. A user may establish a vehicle as associated with the user, such as a vehicle owned by the user or used by the user. The vehicle may include a vehicle device that may be configured to establish connections with other devices using short range and network communications. In various embodiments, the other devices may be devices at merchant locations. Thus, a merchant at the merchant location may be informed about settings, preferences, and/or parameters for use of the vehicle established by the user. The merchant may receive these parameters even if another user is utilizing the vehicle, thus, establishing rules for use of the vehicle by the other user. In other embodiments, the other devices may be devices in other vehicles, allowing the users to communicate and set waypoints during trips.

The disclosed technologies can compute inferred taste preferences relating to food products and food providers using objectively verifiable data, including order data, and use these inferred taste preferences to create new functionality in an information search and retrieval system and/or a product ordering system.

Various implementations described herein are able to leverage the interaction from one or more potential buyers relative to a digital image to automatically create a sales listing for items that appear to be of interest to the buyers. This reduces or eliminates all together the manual effort previously required of sellers in researching and collecting data on each item they wish to sell. Because of their technical nature, the innovative solutions described herein are also readily scalable which, in turn, greatly improves the seller's experience. Based on buyer interaction experiences, sales listings for each item for sale can be automatically created and listed.

A monitoring system for apparatus and systems in commercial and residential properties is provided. The monitoring system consists of a head unit and a tail unit, each of which has one or more sensors that measure performance parameters that are important to understanding the performance of the apparatus and system being monitored. As an example, an HVAC system may be monitored to determine when an air filter needs to be changed, or to predict when failure of the HVAC system may be imminent. The sensor array in the head unit and tail unit measure performance and report alerts and historical system performance to users through a mobile app, social media accounts, or any other system for communicating over a wired or wireless network connection.

According to various example embodiments, a method of providing order-related information by an electronic device may include obtaining order information on or regarding a purchase item and customer information corresponding to the order information, transmitting the order information and the customer information to an external device, receiving, from the external device, sale-related information on or regarding a sales item that corresponds to the purchase item and is for sale by the customer, and providing at least some of the order information and the sale-related information on a first page.

In some embodiments, methods and systems are provided that permit a customer to purchase products from a retailer and elect an option for a friend or family member of the customer to pick up the ordered products from the retail facility of the retailer associated with the geographic location of the customer. If the friend or family member of the customer agrees to pick up the products for the customer, and if the customer agrees to have the selected friend or family member of the customer pick up the products for the customer, the friend or family member is allowed to pick up the products at the retail facility associated with the geographic location of the customer. The customer is then allowed to either pick up the products from such a friend or family member or the friend or family member may deliver the products to the customer.

The system includes a plurality of toy construction elements, a scanning device operable to capture a digital representation of a toy construction model constructed from one or more of said tov construction elements, and a processor. The processor is configured to determine, from the digital representation, one or more attribute parameters, each indicative of a respective attribute derivable from one or more toy construction elements in the toy construction model. The processor is further configured to determine, based on the determined one or more attribute parameters, a selection of one or more items selected from a choice of items. The selection provides a definition of the one or more deliverables. The system further comprises transmission means adapted to pass the definition to a production facility for producing and configuring the one or more deliverables in agreement with the definition.

An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.