Abstract: An automated container cutting system for cutting a container includes a cutting platform and a cutting tool held by the cutting platform. The cutting tool is configured to cut the container. The automated container cutting system includes a force feedback sensor operatively connected to the cutting tool such that the force feedback sensor is configured to measure resistive force exerted on the cutting tool. The automated container cutting system includes at least one processor communicatively coupled to the force feedback sensor. The processor is configured to receive resistive force data from the force feedback sensor. The resistive force data represents resistive force exerted on the cutting tool as the cutting tool pierces a wall of the container. The at least one processor is configured to determine whether the cutting tool has penetrated through the wall of the container using the received resistive force data.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to verify accuracy of a shipment. In some embodiments, items loaded to and/or unloaded from a delivery vehicle are scanned and compared to a delivery schedule, and a unique identifier is provided to confirm proper loading/unloading at a subsequent scheduled stop of the vehicle.

Abstract: A system can include one or more processing modules and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processing modules and perform receiving, from an electronic device, a search query from a user of a plurality of users; processing first data; and facilitating displaying a set of items. Processing the first data can comprise determining one or more keywords by capturing the one or more keywords during a time window; creating a feature set of second data associated with at least a portion of the plurality of users; determining a set of items of the item set as being based at least in part on an item vector representation and a keyword vector representation; determining a respective purchase probability associated with each item of the set of items of the item set; ranking the set of items.

Abstract: Systems, apparatuses, and methods are provided herein for user access to smart locks at a retail shopping facility. In one embodiment, a system for user access to smart locks at a retail shopping facility includes an access member, a smart lock securing the access member, and a control circuit. The control circuit configured to receive authentication data from the user interface device; determine whether the authentication data matches within a threshold of stored authentication data associated with a profile stored in a database; determine that the user is a trusted user based on the determination that the authentication data matches with the stored authentication data within the threshold; and provide an optical key to the user interface device, wherein the smart lock is configured to unlock the access member in response to receiving the optical key from the user interface device.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: determining at least one fleet delivery route for delivery of one or more items of one or more orders to one or more locations using a vehicle fleet; dynamically shuffling the at least one fleet delivery route by at least evaluating a cost differential; when the cost differential satisfies a threshold: removing the first order from the source route; inserting the first order into the first other delivery route; and communicating the first order to a first other deliverer associated with the first other delivery route. Additional embodiments are disclosed herein.

Abstract: Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for the amount of labor and physical objects needed at various facilities.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing a machine learning architecture that is configured to evaluate expensiveness of items relative to each other, wherein the items are included in an item type category; receiving prices associated with the items included in the item type category; generating, using a price band determination model associated with the machine learning architecture, price bands based, at least in part, on the prices associated with the items, each of the price bands being associated with separate price range boundaries for the item type category; and assigning each of the items to one of the price bands. Other embodiments are disclosed herein.

Abstract: A system for generating compressed product titles that can be used in conversational transactions includes a computing device configured to obtain product title data characterizing descriptive product titles of products available on an ecommerce marketplace and to determine compressed product titles based on the product title data using a machine learning model that is pre-trained using a replaced-token detection task. The computing device also stores the compressed product titles for use during conversational transactions.

Abstract: A method for purchasing a product at a brick-and-mortar retail establishment is provided. The method includes, but is not limited to, inputting identification information into a local device for a product sold by the brick-and-mortar retail establishment, transmitting the identification information to an order creation application, and upon receiving the identification information, selecting a dispense type for the product. The dispense type is selected from a group of dispense types including: “carry” for personally carrying the product out of the brick-and-mortar retail establishment, “load” for having the product loaded into the user's vehicle, “pickup” for having the product provided to the user at a predetermined location whereby the user will go to get that product, and “delivery” for delivering the product to the user at a predetermined location.

Abstract: In some examples, a system may be configured to generate one or more query attributes for a search query received from a computing device of a user. Additionally, the system may be configured to, based at least in part on historical data of the user including data characterizing one or more items associated with the user, generate relevant item data. In various examples, the relevant item data characterizing a set of relevant items. Moreover, the system may be configured to, based on the relevant item data, the historical data of the user and the one or more query attributes, implement a set of operations that generate a set of personalized search results associated with the search query.

Abstract: First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

Abstract: A perpetual inventory (PI) value associated with the selected product and a last PI adjustment time that indicates when the retail store last adjusted the PI value are received. The PI value of the selected product is compared to the back room quantity value of the selected product, and a time when the back room quantity value becomes greater than the PI value for the selected product is determined. An adjustment to the PI of the selected product is blocked when the PI adjustment time is after the time. When the back room quantity value is greater than the PI value and the adjustment to the PI value is unblocked, the PI value is adjusted to be the back room quantity value.

Abstract: A system and method for content selection and presentation is disclosed. A plurality of content elements configured for presentation in at least one content container is received and one of the plurality of content elements is selected for presentation in the at least one content container. The one of the plurality of content elements is selected by a trained selection model configured to select one of an individual context or a global context. An interface including the selected one of the plurality of content elements is generated.

Abstract: This application relates to apparatus and methods for automatic delivery route generation and assignment. In some examples, a computing device determines delivery locations for each of a plurality of previous routes taken by each of a plurality of drivers over a period of time. The computing device also obtains a plurality of current routes to be assigned to the plurality of drivers. Further, the computing device determines a familiarity value for each of the plurality of drivers for each of the plurality of current routes based on the delivery locations of the previous routes taken by each driver. The computing device assigns each of the plurality of drivers to a current route based on the determined familiarity values, and stores the assignments in a data repository. In some examples, the computing device transmits the assignments to another computing device, such as a computing device of each driver.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

Abstract: Some systems and methods are directed to a device agnostic architecture configured to control and/or manage the interactions between front end store systems (e.g., self checkout (SCO) systems) for capturing purchase items and backend systems (e.g., point of sale (POS) subsystems) for completing purchases. The device agnostic architecture can include a translation layer or translation component that mediates communications from and/or between the front end and backend systems. For example, the translation layer maps any commands received from any SCO and/or POS device into execution commands native to receiving systems. For example, back-end processing systems can be configured to control on-line identification of products and/or services for purchase, and manage execution of sales of any goods or services. The translation layer manages communication between SCO devices and the backend systems so each communicates with each other according to their respective formats (e.g.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to presenting packing instructions to a user. In some embodiments, a system for presenting packing instructions to a user comprises a database configured to store packing information and item visualizations, wherein the packing information includes placements of items in orders in containers, and wherein the item visualizations depict appearances of items sold by the retailer, a control circuit configured to receive an order identifier for an order, retrieve packing information associated with the order and item visualizations for the items in the order, generate a packing visualization for the order, wherein the packing visualization for the order depicts placement of the items in the order in the container, transmit, to a display device for presentation, the packing visualization for the order, and a display device configured to present the packing visualization for the order to the user.

Abstract: A method including determining a zip code of a user using a website that displays items for sale. Determining the zip code of the user can include determining the zip code of the user through at least one of using tracking cookies for the user using the website or geo-sniffing a current session of the user using the website. The method also can include receiving a selection by the user to display information about an item of the items for sale. The method additionally can include determining a shipping speed to display to the user for the item based on (a) a geo-classification for the item, (b) a list of fulfillment nodes that can currently deliver to the zip code of the user within a first shipping speed, and (c) a node-level inventory for the item. The method further can include facilitating a display of the shipping speed to the user. The geo-classification for the item is a first classification at least when a sale margin for the item exceeds a first predetermined margin threshold.

Abstract: The system and method described herein provide an order fulfillment database system. The order fulfillment database system may provide a high throughput speed, high availability, redundancy, and scalability. The order fulfillment database system supports very fast transaction times for atomicity, consistency, isolation, and durability (ACID) transactions. Order services instances at a primary cluster provide in-memory databases that service segments of the persistent database and are associated with different order fulfillment entities. A routing manager routes database messages to the appropriate order services instance. A secondary cluster of order services instances provides redundancy. A retry procedure preserves the integrity of the database transactions based on a current operational state of the primary order services instances.