A browser extension may insert code into a document used to generate a web page. For example, the browser extension may detect that the web page is associated with an entity that is associated with one or more delivery estimates. The browser extension may transmit web page information that identifies the entity associated with the web page and/or a date threshold determined based on user input provided to or stored by the browser extension. The browser extension may receive presentation information that identifies a plurality of delivery estimates for a plurality of entities based on transmitting the web page information. The browser extension may insert the code into the document used to generate the web page based on the presentation information. The code may cause an estimated delivery date and/or an indication of whether the date threshold can be satisfied to be provided for display via the web page.

An intelligent store system and an intelligent store method are provided. The method includes: sensing, by a proximity sensor, whether there is a first customer approaching the proximity sensor; sensing, by an image sensor, a movement trajectory of the first customer; and determining whether the first customer is entering or leaving a store in response to the first customer approaching the proximity sensor sensed by the proximity sensor. If the first customer is entering the store, a first virtual identity and a first virtual shopping cart corresponding to the first virtual identity are generated for the first customer, and a first product list of the first virtual shopping cart is updated according to the movement trajectory. If the first customer is leaving the store, a first operation of the first customer is received by a human machine interface, and the first product list according to the first operation is updated.

A system and method for personalized food item designer and culinary fulfillment. The system is a cloud-based network containing a food item design server, portals for restaurants and patrons, to enter their information, and a recipe generator which creates a unique dietary experience for patrons based on a multitude of variables associated with the business enterprises, patrons historic culinary transactions, dietary needs and preferences both explicit and inferred. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

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.

A customer places an order of items to be purchased with an online concierge system. The online concierge system provides the order to a picker who shops for the items at a retailer and delivers them. The online concierge system requests an image of a receipt of the order from the picker. The online concierge system performs image processing on the image of the receipt and uses machine learning and optical character recognition to determine the actual amounts purchased of items. The online concierge system charges the customer based on the actual amounts purchased of each item.

A system for facilitating acquisition of items on behalf of a requesting device is provided. The system comprises an application that when executed on a computer publishes a listing of items specified by a first device, the items available from online vendors designated in the specification. The system also receives an instruction from a second device to purchase a first item in the listing of items. The system also purchases, based on the instruction, the first item from a first online vendor of the online vendors, and directs the first online vendor to ship the first item to a specified address. The specified address is provided by the first device. The system further verifies availability and price of the first item with the first online vendor prior to purchasing.

A transactional chat platform including a customer sub-system and customer interface, a client sub-system and client interface, and a server sub-system and database is provided. The sub-systems may be configured to transmit data between the customer sub-system and the client sub-system, between the client sub-system and the server sub-system, and between the customer sub-system and the server sub-system. The client sub-system may be configured to initiate a transaction in response to customer communications via the chat box by identifying products from the product list based on keywords used by the customer and displaying those products as thumbnails in the chat box, receiving confirmation from the customer that the customer desires the products, and displaying a purchase prompt embedded interface entirely within graphical boundaries of the chat box, the purchase prompt embedded interface comprising billing and mailing address fields to be completed by the customer.

Systems and restaurant locations for use with a mobile ordering system, and methods thereof, to provide at least more time-efficient pick up of orders by customers than with traditional ordering and pick up windows.

Methods for product ordering relating to an automation system are described. Exemplary methods may include receiving one or more inputs, identifying one or more product order-related parameters, receiving information related to a product order, determining delivery data based at least in part on the information, and initiating an automation system operation based at least in part on the delivery data.

Embodiments of the present invention provide a communicable integration of a user network of devices and a vendor system. Embodiments receive, at the vendor system from the user network of devices, a request for provisioning of products by a vendor; determine a provisioning location for provisioning of the products by the vendor; continuously identify a real-time location of the user via the one or more components of the user network of devices; continuously calculate a real-time first limit based on the continuously identified current location of the user and the provisioning location; calculate a total time to provision the products comprising a sum of a product preparation time and the real-time first limit; and optimize delivery of the products based on the total time to provision and the real-time location of the user.