Disclosed herein are system, method, and computer program product embodiments for estimating shipping costs of items purchased in an online market using machine learning techniques. By determining in real-time the dimensional weight of an item with reference to a machine learning model describing past transactions, a buyer and seller in the online market can finalize the transaction in real-time. The machine learning model further implements a bias within the machine learning algorithm towards heavier estimation to avoid undercharging the market participants for shipping costs. One embodiment involves using these cost-estimation techniques in the context of a local shipping feature, which allows buyers and sellers to schedule a same-day delivery by seamlessly involving a local carrier.

A multi-nodal supply chain system including multiple interconnected entities and a method for executing a supply chain workflow using transportable and continuously trackable, standardized storage bins is provided. The entities include a network of node facilities distributed throughout a geographical region, inter-nodal transport vehicles (INTVs), storage bins storable in indexed storage locations within the node facilities and the INTVs, and a computerized system. The computerized system stores bin identifiers of the storage bins and location identifiers of the indexed storage locations and dynamic storage locations of the storage bins. The computerized system also updates the location identifiers as the storage bins are transferred between the node facilities and the INTVs. The node facilities, the INTVs, and the storage bins, in communication with the computerized system, provide a complete traceability of one or more eaches of inventory items from their input into the supply chain system to fulfillment of orders.

Systems and methods for using kits as a source of inventory in a fulfillment center are described herein. The example systems can be configured to receive a determination to use a kit as a source of a first item, where the kit comprises the first item and a second item. The determination can be based on a low inventory threshold for the first item as well as order data for the first item and the kit. The systems can identify the kit location and create a kit disassembly pick job. The kit disassembly pick job can identify the kit location and provide instructions for disassembling the kit. The systems can transmit the kit disassembly pick job to an autonomous vehicle for completion.

A system for parcel transport and tracking that operates responsive to data bearing records includes a plurality of geographically spaced repositories. The exemplary repositories include one or more enclosed compartments. Access to each of the enclosed compartments is controlled by a respective door which is in operative connection with a respective lock. Central system circuitry is in operative connection with the repositories and is operative to control access to the compartments and to cause compartments to be selectively accessible so that selected parcels may be placed therein or removed therefrom by persons authorized to access such parcels. In exemplary arrangements the central system circuitry is operative to determine bundles of parcels to be transported between respective repositories to facilitate the delivery of parcels at the respective delivery locations.

A vehicle has an automated storage and retrieval system, the automated storage and retrieval system including an area for storage of items and having locations, each location being suitable for holding one or more of the items; an inductor that receives and inducts the items into the automated storage and retrieval system; a conveyor that conveys the items from the inductor to the area; and an extraction station. When an item is designated for removal from the area, the conveyor delivers the designated item to the extraction station and, after receipt of the designated item from the conveyor, the extraction station delivers the designated item to a designated recipient for extraction of the designated item from the automated storage and retrieval system.

The present invention relates to monitoring of inventory and transportation of materials. The method may include; receiving, from a first computing device, a first search query which is input by a first warehouser, to identify the materials for shipment; receiving, from the first computing device, a transfer request to initiate the shipment for the each of the materials (EOTM), the transfer request comprising a destination location and a carrier data; receiving, from a second computing device, for the EOTM, a verification input to verify a departure status from a first contractor; generating a shipment document, for the EOTM, after verification of the departure status, wherein the shipment document is associated with a QR code; receiving, for the EOTM, a destination arrival status from a carrier, upon a drop-off of the materials; creating, a transfer log which enables monitoring of the material transportation.

A product delivery system includes: a center server; a store server; a driver configured to be coupled with and decoupled from a carriage; and a terminal. A processor of the center server is configured to: acquire a scheduled loading time representing a completion time of loading of a product onto the carriage at the store, when order information on the product is output from the terminal to the store server; output, to the driver, an instruction for causing the driver to depart from a current position to the store in time for the scheduled loading time; and output, to the driver, an instruction for causing the driver coupled with the carriage to depart from the store to a delivery destination of the product, when acquiring, from the store server, a loading completion notification indicating that loading of the product onto the carriage has been completed at the store.

An interactive and customizable food delivery system with a high degree of personalization. The system provides for the personalization of a product and product label thereby delivering a client-specified food product based upon their recipe input through a computer device interface. Through use of a computer interface, such as a mobile computing device or “smart phone,” personal computer, or even through a unique computerized kiosk located at a fixed location, the user can input recipes or order products from existing recipes. The product is prepared either locally or remotely and is then delivered or shipped to the user with a customized label indicating ingredients and other information.

A computer-implemented method comprises receiving, from a computing device associated with a merchant, product information about a product; classifying, based on the product information, the product into a handling class associated with handling of the product; and storing an indication of classification in association with the product information about the product.

A direct truck assignment system, device and method that allows for efficient assignment of a driven or autonomous vehicle from amongst a group of available, unassigned delivery vehicles within a container loading area, and arranging the assignment and transportation of a container directly with the selected vehicle, eliminating the need for prior matching and assignment before the truck(s) arrive at the container loading area or the need for a third party intermediary in the delivery assignment and vehicle engagement processes.