Method for processing orders and electronic device are disclosed. A embodiment of the method comprises: acquiring a new order group, wherein the new order group comprises at least one new order; determining a candidate delivery unit set according to a preset delivery area and an end task position of each delivery unit of at least one delivery unit and order information concerning new orders in the new order group, wherein the end task position of the delivery unit is a position after the delivery unit has already completed the delivery concerning all allocated orders; selecting one delivery unit from the candidate delivery unit set as a target delivery unit on the basis of the order information concerning the new orders and the preset delivery area and the end task position of each candidate delivery uni; and allocating the new orders to the target delivery unit.

An apparatus that provides a cooperative shopping service in association with a chat application includes a friend information receiving unit configured to receive, from a host device, information about at least one friend or chat room selected from a list of multiple friends or multiple chat rooms managed by the chat application; an invitation unit configured to transmit an invitation message to a guest device corresponding to the friend or a member of the chat room through the chat application; and a cooperative shopping service providing unit configured to provide, both to the host device and the guest device, a list of products that are capable of being put into a shopping cart of the host device and receive order information about product selected from the list of products by at least one of the host device and the guest device, wherein the list of products provided to the host device and the guest device is generated based on a location of a delivery destination determined by the host device.

A vehicle theft-prevention system can include a mobile application that can determine a location of the mobile device. One or more computing devices can be in communication with the mobile application via a network. The mobile application and the at least one computing device configured to determine that the location of the mobile device has moved outside of a geofence associated with a vehicle theft-prevention apparatus. The mobile application and the at least one computing device can cause the vehicle theft-prevention apparatus to change from an unarmed mode to an armed mode.

The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Embodiments of the invention provide a method, system and computer program product for online ordering using conversational interfaces. In an embodiment of the invention, the method includes storing customer information corresponding to a customer and responsive to receiving a message with text or speech and an image from the customer, identifying an intent type from the text or speech using Natural Language Understanding, identifying a product or service from the image using image classification techniques and transmitting a product detail message to the customer with the product or service and corresponding pricing using Natural Language Generation. The method further includes responsive to receiving an affirmative message from the customer in response to the product detail message identified as affirmative using Natural Language Understanding, automatically completing a purchase of the product or service with the customer information and transmitting a receipt message to the customer with an order receipt.

A method for processing user orders for products may include receiving an order for an order quantity of the product from a user computing device, determining that the order management system cannot communicate with the inventory management system to reserve the order quantity of the product, retrieving a last known inventory quantity of the product, retrieving an offline demand quantity for the product, transmitting a confirmation of the order to the user computing device when the sum of the order quantity and the offline demand quantity of the product is less than or equal to the last known inventory quantity of the product, and transmitting a denial of the order to the user computing device when the sum of the order quantity and the offline demand quantity of the product is greater than the last known inventory quantity of the product.

In one embodiment, a shopping support system has a server and a store terminal. The server stores user identification information including information of a group capable of identifying the group to which the user belongs, and shopping memo information which is associated with the user identification information, and includes information of a commodity to be purchased by the user, in a storage device. The store terminal repeatedly acquires the shopping memo information which is associated with the information of the group capable of identifying the group to which the user in whom login has been permitted belongs, from the server at a periodic prescribed timing.

Techniques and arrangements for facilitating synchronization of open ticket functionality utilized by point-of-sale (POS) devices with kitchen display systems. In some example, a POS device associated with a merchant receives customer orders associated with transaction between the merchant and customer(s). The customer orders originate both from user input to the POS device and from an application(s) executing on a separate device. The POS sends the customer orders to a kitchen display system (KDS) associated with the merchant. The KDS aggregates the orders and, responsive to the aggregating, causes presentation of the orders.

The present disclosure discloses an order processing method. The method includes: receiving at least one pending order and placing the at least one pending order in an order pool; dividing part or all of pending orders in the order pool into at least one batch of task; for any of the at least one batch of task, allocating the batch of task to a corresponding target workstation, selecting a target inventory container matching an order item for a pending order in the batch of task, and selecting a target robot for carrying the target inventory container for the batch of task; controlling the target robot to carry the target inventory container matching the order item to the target workstation corresponding to the batch of task. The present disclosure further discloses an order processing device, a server, and a storage medium.

A system and method are presented for using a plurality of data caches to increase the efficiency of a computing system in an e-commerce environment. Separate caches with distinct time-to-live values are created, one each for customer information, customer cart contents, and product pricing data. Product pricing is pre-analyzed using a pricing data engine that calculates multiple potential prices for a single item that is then stored in the product pricing data cache. This data can then be used in a variety of contexts to determine different pricing for the same product without requiring another request for product data from the pricing data engine. When a product is viewed during catalog browsing, all information needed to determine pricing for that particular user might be accessible from the data caches for fast processing.