Information display method and device, electronic equipment and computer readable medium

Abstract

The embodiment of the invention discloses an information display method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the steps of obtaining an input ordering information set, an input promotion information set and an employee information set; inputting the input order information set and the input promotion information set into a pre-trained prediction model to generate a target order information set; generating a target capability information set based on the employee information set; determining an uncompleted result information set; based on the target ordering information set, the target capability information set and the uncompleted result information set, generating performance result information; and pushing the performance result information to a target device with a display function, and controlling the target device to display the performance result information. According to the embodiment, the performance result information can be adjusted in real time according to the target ordering information set, the target capability information set and the uncompleted result information set, the prediction level of the performance result information is improved, the performance capability of employees is improved, and the performance service level is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular, to information display methods, apparatuses, electronic devices, and computer-readable media. Background technique [0002] With the development of new retail, Online To Offline (O2O for short) has become a trend. More and more brick-and-mortar merchants are using the Internet to broaden their customer base, and more and more people are choosing to place orders online. Compared with other commodities, fresh commodities are prone to perish and deteriorate, which puts forward higher requirements for delivery time. When users place an order online, they can choose the delivery (contract fulfillment) time period according to their own needs. The prior art obtains the delivery capability of each delivery worker according to the historical daily delivery situation, and pushes the delivery capability as contract performance result information. [0003] Howe...

AI Technical Summary

Problems solved by technology

[0004] First, the daily delivery task requirements are pre-set in advance, and there are cases where the delivery staff is vacant, which limits the potential order volume

However, the performance result information is determined according to the historical delivery situation, and the performance result information cannot be adjusted in real time

[0005] Second, because the historical delivery situation is affected by many different factors, the performance result information is predicted directly based on the historical delivery situation, and the prediction level is low, resulting in the inability to complete the delivery task in time, or a large amount of human resources wasted due to the small number of delivery orders

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