Abstract: An online concierge system facilitates a concierge service for ordering, procurement, and delivery of food items from physical retailers. The order fulfillment is based in part on automatically inferring one or more quality metrics, such as remaining shelf-life, associated with perishable food items. A picker shopping on behalf of a customer may capture images of available food items for the order using a picker client device. The images are processed through a machine learning model to infer the one or more quality metrics, and a price is then determined based in part on a dynamic pricing model. The online concierge system communicates with a customer client device to meet quality characteristics and pricing preferences set by the customer. The online concierge system may further facilitate a checkout process for the items obtained by the picker and may facilitate delivery of the items by the picker to the customer.

Abstract: An authentication system and method is provided. The system: (a) provides a keyboard comprising a letters in a m×n format, ‘m’ represents rows, and n represents columns, each row or column includes a sub-set of the letters, (b) provides input receiving identifiers, each input receiving identifier specific to at least one row or column, (c) processes an input on at least one input receiving identifier from the set of input receiving identifiers, (d) identifies a first intended letter from a first sub-set of letters from a corresponding row or column based on the input, (e) repeats steps (c) and (d) until a last intended letter from a last sub-set of letters is identified to obtain intended identified letters, (f) performs a comparison between the intended identified letters with a pre-registered set of letters stored in a memory, and (g) triggers at least one action based on the comparison.

Abstract: An authentication system and method is provided. The system: (a) provides a keyboard comprising a letters in a m×n format, ‘m’ represents rows, and n represents columns, each row or column includes a sub-set of the letters, (b) provides input receiving identifiers, each input receiving identifier specific to at least one row or column, (c) processes an input on at least one input receiving identifier from the set of input receiving identifiers, (d) identifies a first intended letter from a first sub-set of letters from a corresponding row or column based on the input, (e) repeats steps (c) and (d) until a last intended letter from a last sub-set of letters is identified to obtain intended identified letters, (f) performs a comparison between the intended identified letters with a pre-registered set of letters stored in a memory, and (g) triggers at least one action based on the comparison.