Abstract:
Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for determining delivery or pick-up windows. In one embodiment a method is provided comprising determining whether sufficient historical information/data to determine an estimated pick-up/delivery time is received for each weekday when deliveries are made and in response to determining that the sufficient historical information/data is available for a first weekday, determining an estimated pick-up/delivery time for the first serviceable point and for the first weekday based on the sufficient historical information/data for the first serviceable point and for the first weekday. Similarly, in response to determining that the sufficient historical information/data is not available for a second weekday, determining an estimated pick-up/delivery time for the first serviceable point and for the second weekday based on the first historical information/data.
Abstract:
Methods, systems, apparatus, and computer program products are provided. In an example embodiment, a communication comprising form fields is received. A form field corresponding to first item information for a first item is identified. A textual item description for the first item is extracted from the form field. A code schedule is accessed and one or more codes are determined for the first item based on the textual item description and the code schedule. An item database is queried to identify second items that are relevant to the first item and a confidence level for each of the codes is determined based on the relevant second items. If a confidence level corresponding to one of the codes is greater than a configurable confidence level, a first code is selected from the codes. An item database is updated to reflect the first code being assigned to the first item.
Abstract:
Systems, methods, and computer program products for validating billing data and detecting anomalies in billing data are provided. In one embodiment a method is provided, the method comprising: receiving historical billing data for a customer, the historical billing data organized into a plurality of historical data sets; calculating a plurality of statistical representations of each of the plurality of historical data sets; generating a historical profile for the customer based on the plurality of statistical representations of the historical billing data; receiving current billing data for the customer; generating a current profile for the customer; comparing the current profile to the historical profile, the current profile and the historical profile being associated with the same at least one category attribute; and, based at least in part on the result of the comparison, determining whether one or more anomalies are present in the current billing data for the customer.
Abstract:
Computer program products, methods, systems, apparatuses, and computing entities are provided for enforcing usage of a canonical model. For example, machine-automatable artifacts that express the canonical model using a set of metadata constraints and a set of transformation rules can be received from a canonical model artifact repository. These machine-automatable artifacts can be converted into language- specific bindings and applications can subsequently utilize those language-specific bindings to enforce conformity to the canonical model.
Abstract:
Computer program products, methods, systems, apparatus, and computing entities are provided for segmenting operational data and identifying events of interested in the segmented operational data. With the events of interest identified, a total time between the events of interest can be determined.
Abstract:
Computer program products, methods, systems, apparatus, and computing entities are provided for automated loading and retrieval of items. In various embodiments, items are received at a loading station where identification data may be captured for each item and handling instructions may be generated. In some embodiments, a label having indicia associated with the item may be generated and affixed to the item. The items may then be deposited through an access door into the vehicle identified in the handling instructions. Once the items are loaded into the access door, an automated load/unload device may deposit the item in the appropriate storage location. The automated load/unload device may also retrieve and rearrange items as desired.
Abstract:
Various embodiments are directed to systems and methods for utilizing Light Detection and Ranging (LIDAR) sensors to facilitate loading and unloading of assets into receptacles. The LIDAR sensors may be configured to detect the location of various surfaces (e.g., asset surfaces) within a receptacle such that mapping data indicative of the location of the detected surfaces may be generated. This mapping data may facilitate a determination of a total volume of unoccupied space within the receptacle and/or the identification of an unoccupied volume sufficient to accommodate an item having defined dimensions. The mapping data may additionally be indicative of the location of asset identifiers disposed on one or more detected surfaces to facilitate locating a particular asset associated with a provided asset identifier.
Abstract:
In an embodiment, a method comprises receiving, at a translation server, a request for translation services from a requesting device for text data associated with a token and a first language; retrieving, at the translation server, a translated version of the text data in a second language from a translation database storing automatically translated text data and manually translated text data, if the token matches a previously processed token; retrieving, at the translation server, the translated version of the text data in the second language from an automated translation service, if the token does not match the previously processed token; retrieving, at the translation server, the translated version of the text data in the second language from the manual translation service; and transmitting, at the translation server, one or more of the automatically translated text data and the manually translated text data to the requesting device.
Abstract:
Systems, methods, apparatus, and computer program products are provided for programmatically determining/identifying a delivery location and time based on the schedule of the consignee. One example embodiment may include a method comprising receiving shipping/parcel information/data, the shipping/parcel information/data indicative of an item/parcel to be delivered to a consignee by a carrier, determining whether consignee schedule information/data is accessible, the consignee schedule information/data comprising information/data indicative of a consignee and information/data indicative of a location and an associated time at which the consignee has indicated an ability to receive an item, and providing, to a client device, via a network, a delivery location and a delivery time, the delivery location and the delivery time determined between the consignee schedule information/data and the default delivery location and the estimated time of delivery.
Abstract:
Systems, according to various embodiments, are adapted to use any of a variety of different techniques to identify an individual. In particular embodiments, the system is adapted to, at least partially in response to confirming the identity of a consignee of a parcel, provide the consignee with access to a parcel stored within a secured locker. In particular embodiments, the system may use the current or past location of the consignee, or information from one or more objects physically associated with the consignee (e.g., a portable computing device or an electronic or paper info notice) to verify the consignee's identity.