30 results about "Grocer's shop" patented technology

Embodiments relate to generating time-series energy usage forecast predictions for energy consuming entities. Machine learning model(s) can be trained to forecast energy usage for different energy consuming entities. For example, a local coffee shop location and a large grocery store location are both considered retail locations, however their energy usage over days or weeks may differ significantly. Embodiments organize energy consuming entities into different entity segments and store trained machine learning models that forecast energy usage for each of these individual entity segments. For example, a given machine learning model that corresponds to a given entity segment can be trained using energy usage data for entities that match the given entity segment. A forecast manager can generate a forecast prediction for an energy consuming entity by matching the entity to a given entity segment and generating the forecast prediction using the entity segment's trained machine learning model.

A processing system is for a motorized mobile system that provides powered mobility to one or more users. The motorized mobile system may consist, for example, of one or more of a mobile chair, a mobility scooter, an electronic conveyance vehicle, a riding lawn mower, a grocery cart, an all-terrain vehicle, an off-road vehicle, and a golf cart. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object. The at least one processor uses the first kinematic state estimate of the object at the first time and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time, wherein the first time is less than the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system, wherein the at least one other process causes one or more actions to be taken by the motorized mobile system based on the first kinematic state estimate of the object at the first time. The at least one processor uses the second kinematic state estimate at the second time as an input to the object kinematic model to predict another kinematic state estimate of the object.

A shopping cart basket comprises one or more modular baskets couplable to a bottom basket having a plurality of wheels extending downwardly to allow the shopping cart basket to roll. Each of the modular baskets has a foldable bottom wall that can act as a bottom of a separate basket or can be folded against a side wall of the modular basket. The modular baskets could be used to hold items within a smaller compartment, and can be combined with the bottom basket to form a roll-able shopping cart having a larger compartment. Such a cart is advantageously used in a store, such as a grocery store, a retail shopping mall, or a home improvement store.

This invention relates to a lid dropping and closing mechanism for cups used in vending machines developed for vending machines used in beverage packaging, food service industry, grocery and self-service stations and its characterized by; at least one tube (1) integrated into the vending machine and placed inside the lid (3), at least one balancing mass (2) that is connected to the lid (3) which is lined up above each other and, provides weight for the lid column to fall vertically, including at least one lids separator (4.3), which separates the lids (3) from each other by the scraper it contains for the closure of the cups (6) and, at least one motor (4.1) that moves the lever of the lids separator (4.3) as a result of moving the gear (4.2) mechanism and, at least one lid separator mechanism (4), which separates the lids (3), at least one lid closure plate (5), which holds the lid (3) vertically fixed toward the cup (6) at least one load cell (7), which detects the presence of lid (3) and measure the lid (3) closing pressure, at least one robotic arm (8) that carries the cup (6) and lid (3) and presses the assembly up towards the lid closure plate (5) for vending machine sales.

Methods and system is provided for enhancing online grocery shopping through an Artificial Intelligence (AI) Virtual Shopping Assistant integrated within retail online shopping or ordering platforms. User inputs in natural language are received, specifying shopping requests such as recipes or events along with any user desired conditions. The assistant processes these inputs, interacts with a chat bot to generate a preliminary list of items, and checks item availability against an online inventory. Fuzzy matching algorithms are processed which consider user and / or store-based preferences, store discount data, store price data, and inventory data to refine the item suggestions. The refined list is presented to the user for review, allowing modifications like additions, deletions, or substitutions. Confirmed items are automatically added to the user's online cart for checkout with the corresponding retail shopping or ordering platform providing seamless integration with the online platform.

Aspects of the disclosure provide a computer-implemented-method and system for providing a food delivery service to a person's residence. To execute these methods, the delivery system may utilize (a) information regarding the location of a person ordering food from a restaurant or a food orderer, (b) the location of the restaurant, and (c) the location of potential third party delivery agents. These food delivery service systems may include restaurants of any type or food and / or retail food stores, such as grocery stores, pharmacies, drug stores, retail stores, discount retail stores, etc. The food delivery service systems may further utilize historical information and / or insurance information to enhance the food delivery services.

The present invention is a price comparison and shopping system and associated method to optimize the shopping experience by enabling users to locate specials and discounts across multiple grocery and retail stores (i.e., stores). The system comprises a software application installed on a user device and a server system communicatively coupled via a network. The server includes a store data repository for storing prices and discounts, a coupon repository for active deals, and an optimization engine for determining cost-effective shopping strategies based on user inputs, preferences, and real-time data aggregated from multiple sources. The system provides recommendations for cost-effective stores and displays estimated savings to users, enabling informed decision-making. Additionally, the system facilitates online orders, pickups, deliveries, and in-person shopping by linking with store systems and providing navigation guides.

The present invention is a device for opening plastic bags, such as produce bags at the grocery store. Since those bags are made of very thin plastic, they can often be hard to open, and consumers have to lick their fingers to increase friction enough to unstick the two layers of plastic from each other and open the bag. The present invention obviates the need to lick one's fingers, providing a high-friction wheel with an irregular shape that intermittently contacts a protrusion. The wheel may be turned by means of a handle, or by means of a motor connected to a motion detector. If a plastic bag is inserted into the gap between the high-friction wheel and the protrusion, the bag will open, since the high-friction wheel will slide the top layer of plastic with respect to the bottom layer of plastic. Such a device may be mounted near a plastic bag dispenser at the grocery store or on a shopping cart, so that consumers do not need to remember to bring along yet another gadget.

Embodiments relate to generating time-series energy usage forecast predictions for energy consuming entities. Machine learning model(s) can be trained to forecast energy usage for different energy consuming entities. For example, a local coffee shop location and a large grocery store location are both considered retail locations, however their energy usage over days or weeks may differ significantly. Embodiments organize energy consuming entities into different entity segments and store trained machine learning models that forecast energy usage for each of these individual entity segments. For example, a given machine learning model that corresponds to a given entity segment can be trained using energy usage data for entities that match the given entity segment. A forecast manager can generate a forecast prediction for an energy consuming entity by matching the entity to a given entity segment and generating the forecast prediction using the entity segment's trained machine learning model.

To provide canned ice cream to reduce the power consumption of large freezers in convenience stores, supermarkets and grocery stores. The ice cream can is made by placing ice cream concentrate in a cylindrical can. By freezing the can in the refrigerator at home and eating it, electricity consumption can be dispersed.

A disposable personal protector shield mainly for individuals involved in food preparation in the food service industry, such as all types of restaurants, food trucks, grocery stores and the like. Alternatively, the disposable personal protector shield can be used for painters to be protected from splashes and spills. The disposable personal protector shield provides the user with an easy and convenient application using adhesive tape strip elements around its perimeterwhich can be attached directly to one's garment or skin. In addition, the disposable personal protector shield has an antimicrobial protection coating with antimicrobial propertiesthat protect against growth of viruses, germs, mildew, bacteria and the like. The biodegradable material and the disposable personal protector shield can be easily discarded after each use. Even more so, the functionality of the disposable personal protector shield promotes good hygienic methods and practice for the preparation of food.

This invention relates to a system and method for generating a virtual map of a confined space. The invention includes the following steps: i) setting at least two signal transmitting antennas at different fixed locations within a confined space, such as a supermarket, shopping mall, convenience store, or grocery store, with signal strength decreasing with distance from each antenna, and establishing multiple signal strength coordinates in the confined space through signal intersections provided by signals from the antennas; ii) allowing the use of a portable device, such as a mobile phone, to scan a unique ID, such as a barcode or QR code, of an item located at a location within the confined space; iii) registering the signal strength coordinates of the item located at the location using a portable device, such as a mobile phone; iv) transmitting the unique ID of the item and the registered signal strength coordinates of the item to a computer system; v) repeating steps ii) to iv) for other items located at other locations, and integrating the signal strength coordinates with the unique ID of each item in the computer system; vi) establishing a virtual map of multiple items within the confined space based on the integration in step v); and optionally vii) guiding consumers to one or more of the items, in part, based on the virtual map, by visualizing directions on a screen of a portable device, such as a mobile phone, and / or by voice commands and / or by vibration.

Methods and systems of providing need-to-know information to a user are disclosed. In some aspects, when a user, via the user device (e.g., a mobile phone), has entered a predetermined geographic zone associated with a predefined location (e.g., a grocery store, concert / sporting venue, festival, etc.) (or when the user has entered the location to travel to into the user device), data is retrieved, from a database over the network, that relates to policies and information associated with the location being traveled to. The policies and information associated with that location are then sent to the user so that the user will have need-to-know information with the location he / she is traveling to.

A multi-layered polymeric checkstand conveyor belt of the type used in grocery stores that is printed to display advertising information to engage the shopper at the point of sale and coated with a durable and impervious antimicrobial-containing surface coating. The inclusion of a QR code on the printed belt enables a shopper to easily access the information with a QR code reader app on the shopper's cell phone which directs to the store's website. The advertising and information content on the website can be easily changed and updated by the store so that the information content, including store promotions and special events are kept current. The antimicrobial agent in the surface coating is a quaternary ammonium organosilane compound that kills microbes on contact and has long-lasting residual effects to destroy and prevent the proliferation of microbes such as bacteria, viruses, mold, and the like. However, the cleanliness of the antimicrobial checkstand conveyor belt must be maintained by regular, and preferably at least daily, cleaning with an all-purpose cleaner and application of an antimicrobial surface protectant that inhibits the growth of bacteria the conveyor belt surface for an extended period of time. Compliance with the cleaning procedure is facilitated and ensured by the provision of an App downloaded to a tablet PC, for example, that has a detailed dashboard and accessible data to remind, report, and confirm cleaning of the belt.

A shopping cart basket comprises one or more modular baskets couplable to a bottom basket having a plurality of wheels extending downwardly to allow the shopping cart basket to roll. Each of the modular baskets has a foldable bottom wall that can act as a bottom of a separate basket or can be folded against a side wall of the modular basket. The modular baskets could be used to hold items within a smaller compartment, and can be combined with the bottom basket to form a roll-able shopping cart having a larger compartment. Such a cart is advantageously used in a store, such as a grocery store, a retail shopping mall, or a home improvement store.

Revealbart is a system for a bakery that uses bags as packaging. Clean and / or sanitized bags are stored in one storage area, and used bags in a second. The bags can be cleaned using a cleaning device.

To provide a system.SOLUTION: A system includes: means that collects information on leftovers; means that collects information on the condition of a user's health; means that collects information on prices and freshness in a food store; and AI that shows the optimal menu and shopping on the basis of the collected information.SELECTED DRAWING: Figure 1

A computer-implemented method, system, and computer program product for generating a safest route for travel. Inputs as to a starting point (e.g., home) and a destination (e.g., grocery store) are received. Road network characteristics and operational measures are obtained in connection with the starting point and the destination. Road network characteristics refer to the features or qualities regarding roadways. Operational measures refer to the features or characteristics of safety involved in traveling along the roadways. The safest route to travel to the destination is then generated using a trained machine learning model using the obtained road network characteristics and the operational measures in connection with the starting point and the destination.

The present invention relates to a system (1) which enables grocery shoppers to locate and access the products they are searching for in supermarkets and hypermarkets with a plurality of aisles on an application run on an electronic device; to view product promotions on a single point / platform without wandering between aisles; and therefore, enables grocery shopping to be carried out more easily and conveniently.

In an embodiment, a method includes, responsive to a user of a user device selecting a food product in a user interface of the user device, determining nutrition information of the food product. The method further includes processing the nutrition information of the food product using a dietary model, the dietary model providing a purchase recommendation and one or more recommendation reasons. The method further includes displaying, in the user interface, the purchase recommendation. Therefore, a personalized grocery shopping assistant for people with diseases having dietary restrictions, such as prediabetes and type 2 diabetes is advantageous.

Embodiments relate to generating time-series energy usage forecast predictions for energy consuming entities. Machine learning model(s) can be trained to forecast energy usage for different energy consuming entities. For example, a local coffee shop location and a large grocery store location are both considered retail locations, however their energy usage over days or weeks may differ significantly. Embodiments organize energy consuming entities into different entity segments and store trained machine learning models that forecast energy usage for each of these individual entity segments. For example, a given machine learning model that corresponds to a given entity segment can be trained using energy usage data for entities that match the given entity segment. A forecast manager can generate a forecast prediction for an energy consuming entity by matching the entity to a given entity segment and generating the forecast prediction using the entity segment's trained machine learning model.

This product is a lid for a packaging container used when selling food such as prepared foods at a supermarket or other food section. A peelable film is attached to the top surface, and the lid is used together with a seal label such as a product label attached thereon. A part of the seal label protrudes beyond the film to a size that can be pinched with fingers, and the adhesive strength between the film and the top surface of the lid is weaker than the adhesive strength between the seal label and the film, so that when the protruding part is pinched with fingers and lifted, the film peels off together with the seal label. This allows multiple stickers such as promotional labels other than product labels to be easily peeled off in one go, reducing the effort required for recycling the container. The lid is used together with the packaging container body, and may be separate from or connected to the container body.

A movable shelf system is provided for a retail or grocery store. The system includes a movable shelf in a store location; an actuator for moving the movable shelf; a plurality of cameras in the store location, each of the plurality of cameras having a field of view; and a vision mesh network having a plurality of nodes in communication with each other, at least one of the plurality of cameras being a node within the plurality of nodes on the vision mesh network. The vision mesh network receives and processes information about the movable shelf and sends an instruction to the movable shelf based on the information.

A first device may obtain visual media, including images, videos, and screenshots, of one or more items at a first location. The first device may store the visual media in a data store at the first device, such as a personal knowledge base. In some examples, the first device may detect a second device at a second location, where the second location may be a zone (i.e., a smart zone) that corresponds to a category of item. For example, the zone may be a particular type of store, such as a grocery store. Based on detecting the second device at the second location, the first device may recall the visual media from the data store. If the visual media depicts items of the category that corresponds to the zone (e.g., food items corresponding to the grocery store), then the first device may communicate the visual media to the second device.

Embodiments relate to generating timing energy usage forecast predictions for energy consuming entities. The machine learning model (s) may be trained to forecast energy usage by different energy consuming entities. For example, both local coffee store locations and grocery store locations are considered as retail store locations, but they may have significant differences in energy usage over a few days or weeks. Embodiments organize energy consuming entities into different entity segments and store a trained machine learning model that predicts energy usage for each of the individual entity segments. For example, a given machine learning model corresponding to a given entity segment may be trained using energy usage data for entities that match the given entity segment. A forecast manager may generate forecast predictions for energy consuming entities by matching an entity to a given entity segment and generating forecast predictions using a trained machine learning model of the entity segment.

To provide a movable shelf system for a retail or grocery store.SOLUTION: The system includes: a movable shelf in a store location; an actuator for moving the movable shelf; a plurality of cameras in the store location, each of the cameras having a field of view; and a vision mesh network having a plurality of nodes in communication with each other, at least one of the cameras being a node of the plurality of nodes on the vision mesh network. The vision mesh network receives and processes information about the movable shelf and sends an instruction to the movable shelf based on the information.SELECTED DRAWING: Figure 4A

A movable shelf system is provided for a retail or grocery store. The system includes a movable shelf in a store location; an actuator for moving the movable shelf; a plurality of cameras in the store location, each of the plurality of cameras having a field of view; and a vision mesh network having a plurality of nodes in communication with each other, at least one of the plurality of cameras being a node within the plurality of nodes on the vision mesh network. The vision mesh network receives and processes information about the movable shelf and sends an instruction to the movable shelf based on the information.

The present invention relates to a system and method of generating a virtual map in a confined space. The invention comprises the steps of i) providing at least two signal transmitting antennas in different fixed locations within a confined space, such as a supermarket, shopping mall, convenience store, or grocery store, the signal strength decreasing with a distance from each of said antennas and establishing multiple signal strength coordinates in said confined space by signal intersections provided by signals from said antennas; ii) allowing a unique ID of an item, such as a barcode or QR-code, located in a spot within said confined space to be scanned with a portable device, such as a mobile phone; iii) registering the signal strength coordinates of the item located in said spot with a portable device, such as a mobile phone; iv) transferring the unique ID of the item and the registered signal strength coordinates of the item to a computer system; v) repeating steps ii)-iv) with other items located in other spots and integrating the signal strength coordinates with the unique ID of each item in a computer system; vi) establishing a virtual map of multiple items within the confined space based on the integration in step v); and optionally vii) guiding a consumer to one or more of said items by visualizing directions on a screen of a portable device, such as a mobile phone, and / or by sound commands, and / or by vibrations, partly based on the virtual map.

A variety of coffee flavors packaged in individual pop-top cans or bottles for retail sale. The invention includes a broad selection of unique coffee flavors, such as Almond, Chocolate Marshmallow, Pumpkin Spice, and Toasted Marshmallow, sold in individual 330 ml or 355 ml containers. These beverages are pre-mixed, shelf-stable, and ready-to-drink, offering consumers the convenience of enjoying barista-style coffee without visiting a coffee shop. The containers are also packaged in take-home boxes that hold 8, 12, or 24 units, making it easy for consumers to purchase multiple flavors in one package from grocery stores, convenience stores, and liquor stores.