Abstract: Embodiments are provided for enhancing an in-store retail experience for a customer by facilitating search queries for products and services available for sale in a retail store. According to certain aspects, an electronic device may receive a search string associated with the retail store and transmit the search string to a server that may execute a corresponding search query. The server may send results from the search query to the electronic device, which may dynamically update an interface accessible by a user. The user may view the information and make appropriate selections.

Abstract: An offer decay generation model determines, for a particular customer, a personalized optimal offer decay curve of an incentive corresponding to a product provided by an enterprise, where the offer decay curve defines a set of decreasing incentive values and respective time intervals during which each incentive value is valid. The offer decay generation model is trained on historical data indicative of customers, customer interactions, offered incentives, resulting outcomes of the incentives, and time intervals elapsing between incentives and resulting outcomes. As such, the optimized offer decay curve is structured to maximize a probability that the particular customer is motivated to accept the incentive offer, purchase a product, and/or further interact with the enterprise during the lifetime of the offer decay curve. The offer decay curve may unique to the individual customer, and may be further customized based on other parameters such as location, time/day/date, inventories, etc.

Abstract: Methods and systems may provide media content via retail display devices and/or portable electronic devices to assist consumers in retail environments. Potentially relevant media content may be intelligently obtained, stored, and/or distributed based on a number of considerations to ensure that relevant content will be available for a variety of consumers having a variety of retail needs. Through specific techniques described herein, the methods and systems herein may overcome technological and logistical challenges associated with distributing content among computing devices that are often limited in computing capabilities. Furthermore, the methods and system herein may provide media content in a manner that promotes authors who create and share media content via social media services.

Abstract: Systems and methods for space optimization of a retail environment are provided. Example techniques may include calculating demand values associated with each of a plurality of departments that exist in the retail environment based on departmental data associated with each of the plurality of departments, the retail environment having a known amount of space; for each possible ordered pair of departments determining a halo demand value based on a relationship between a first demand value, associated with a first department of a pair, and an existence of a second department of the pair in the retail environment; and generating an optimized space output corresponding to a proportion of the retail environment allotted to each of the plurality of the departments based on respective demand values for each of the plurality of departments and the halo demand values associated with each possible ordered pair of departments of the plurality of departments.

Abstract: Systems and methods relating to management of delivery fleets are disclosed. Such systems and methods include using functionally-aligned machine learning engines to manage aspects of fleet dispatch and routing, inventory level adjustments, and order optimization. The techniques may be applied to manage an automated fleet delivery services system controlling a fleet of autonomous delivery devices (e.g., UAVs) to deliver products from a plurality of distribution hubs to fulfil customer orders. The interconnected machine learning engines enable efficient management of various aspects of such automated fleet delivery services in real time, including optimization of fleet distribution, optimization of inventory distribution, and optimization of order distribution. Optimization of order distribution may be obtained by dynamically adjusting delivery charges for orders based upon current fleet capacity and inventory levels.

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: The current disclosure relates to systems and methods for prescription stock management at one or more pharmacies in a pharmacy chain. The system initializes and trains a stock management model using machine learning techniques in order to calculate outputs such as a minimum stocked number, a maximum stocked number, and an order amount for at least one prescription item. The system then monitors the inventory of the prescription item, and transmits an order, based on the order amount, for the prescription item if the stock of the prescription item is less than the minimum stocked number.

Abstract: Techniques are disclosed to provide enhanced online security. When user authenticating information is provided to access secure content, a network server identifies the user via a website identifier. Some of the disclosed techniques leverage third party “cookie stitchers” to associate user data, which may include a website identifier, to the user's computing devices. If the cookie stitcher cannot identify a current computing device, or if a current website identifier does not match one stored in the user data, then 2-factor authentication (2FA) may be triggered. Other disclosed techniques leverage stored device management data (DMD), which uniquely identifies each computing device that is associated with a website identifier. These techniques allow the network server to block access to explicitly-identified computing devices, and to trigger 2FA unless specific computing device metrics, which are associated with a computing device, are matched to computing device metrics contained in the DMD.

Abstract: Techniques for generating an irrevocable or guaranteed out-of-pocket (OOP) cost for a patient's prescription prior to the patient submitting the prescription for processing and filling by an enterprise include receiving a request for the OOP cost, obtaining current information corresponding to the patient, and determining the irrevocable OOP cost of the prescription based on the current patient information, one or more constraints set by the enterprise for a given time interval and associated with OOP prescription costs, and changes to characteristic(s) of the patient and/or occurrences of external condition(s) predicted to occur during the given time interval. The irrevocable OOP cost may be charged to the patient for the prescription irrespective of any amount which is provided by the patient's insurance provider to cover the cost of the prescription. The techniques may utilize a set of specially-trained irrevocable OOP cost machine learning models to determine the irrevocable OOP prescription cost.

Abstract: Techniques for generating an irrevocable or guaranteed out-of-pocket (OOP) cost for a patient's prescription prior to the patient submitting the prescription for processing and filling by an enterprise include receiving a request for the OOP cost, obtaining current information corresponding to the patient, and determining the irrevocable OOP cost of the prescription based on the current patient information, one or more constraints set by the enterprise for a given time interval and associated with OOP prescription costs, and changes to characteristic(s) of the patient and/or occurrences of external condition(s) predicted to occur during the given time interval. The irrevocable OOP cost may be charged to the patient for the prescription irrespective of any amount which is provided by the patient's insurance provider to cover the cost of the prescription. The techniques may utilize a set of specially-trained irrevocable OOP cost machine learning models to determine the irrevocable OOP prescription cost.

Abstract: Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Abstract: Techniques for generating an irrevocable or guaranteed out-of-pocket (OOP) cost for a patient's prescription prior to the patient submitting the prescription for processing and filling by an enterprise include receiving a request for the OOP cost, obtaining current information corresponding to the patient, and determining the irrevocable OOP cost of the prescription based on the current patient information, one or more constraints set by the enterprise for a given time interval and associated with OOP prescription costs, and changes to characteristic(s) of the patient and/or occurrences of external condition(s) predicted to occur during the given time interval. The irrevocable OOP cost may be charged to the patient for the prescription irrespective of any amount which is provided by the patient's insurance provider to cover the cost of the prescription. The techniques may utilize a set of specially-trained irrevocable OOP cost machine learning models to determine the irrevocable OOP prescription cost.

Abstract: Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

Abstract: Example methods, apparatus, and articles of manufacture to estimate costs of prescriptions are disclosed herein. An example system to estimate a cost of a prescription for a medication includes receiving a prescription for a medication for a patient, receiving a request for an estimated cost for the prescription for the patient from an entity, forming an input vector including prescription information for the received prescription and payor information for the patient, processing the input vector for the received prescription with a trained machine learning model to determine the estimated cost of the medication for the patient, updating the machine learning model based upon computed differences between predicted costs determined by the machine learning model and actual sold costs for the plurality of sold prescriptions, providing the estimated cost to a user device, and deploying the updated machine learning model.

Abstract: A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

Abstract: The following relates generally to facilitating delivery of prescription medication. In some embodiments, a pharmacy computer system: (i) receives a prescription, (ii) reviews the prescription, and (iii) sends the prescription to an intermediate cloud layer. The intermediate cloud layer may then determine a warehouse to send the prescription to based on at least one criteria. The at least one criteria may comprise at least one of: (i) a health insurance plan; (ii) whether the medication comprises a controlled substance; (iii) whether the medication must be refrigerated during shipping; (iv) a warehouse shipping address; or (v) a fulfillment cap of a warehouse.

Abstract: The method and system allow a user to launch a client application on an web-enabled device and subsequently to navigate to an image source screen within the client application. After receiving an image source selection from the user, the client application retrieves images from the selected image source. The client application displays the retrieved images available for printing to a user, and in response to receiving a selection of an image, the client application transmits the image to a proprietary server. Moreover, upon receiving print order information, the client application additionally executes a location awareness application that determines a current location of the web-enabled device and subsequently, determines a proximal retail store to the current location of the web-enabled device. Thereafter, the remote printing system creates and transmits a print order that includes the selected image to the retail store for pickup.

Abstract: Image based and network controlled, security systems and methods are disclosed herein for securely dispensing pharmaceutical products onsite at a physical location. A server receives scanned prescription image corresponding to a prescription of a user and determines a pharmaceutical product and a pharmaceutical product amount of the pharmaceutical product. The server receives, from a pharmaceutical product imaging device positioned within a physically secured pharmacy area, images of the pharmaceutical product, and then transmits, to a visualization user interface application executing on a network computer positioned outside the physically secured pharmacy area, a visual confirmation of the pharmaceutical product and the pharmaceutical product amount.

Abstract: The following relates generally to voice assisted delivery of goods. In some embodiments, a digital assistant receives audio data, and determines an intent from the audio data. The digital assistant may then match the determined intent to a flow of a set of flows, where the set of flows may include at least one of: (i) requesting curbside pickup of an item, (ii) requesting locker storage of the item, (iii) requesting an indication of locations that the item is available, (iv) requesting an indication of an inventory of a retail store, (v) requesting ads for an additional item that is related to the item, (vi) requesting a status of an order for the item, (vii) requesting drone delivery of the item from a retail store to a residence, or (viii) requesting drone delivery of the item from a warehouse to the residence. The matched flow of the set of flows may then be executed.