Abstract: A system includes a storage device storing a set of instructions and at least one processor in communication with the storage device. When executing the instructions, the at least one processor is configured to obtain, via a network, rule information for rules for determining alert from a rule library and obtain, via the network, operation data of the on-demand service from a storage medium. The at least one processor may also cause the system to determine whether the operation data is in accordance with the rules for determining alert based on the rule information and determine an alert based on the determination that the operation data is in accordance with the rules for determining alert. The at least one processor may further cause the system to and transmit the alert to be displayed to managers of the on-demand service.

Abstract: A method for identifying a damaged vehicle may include receiving a request for checking a vehicle. The method may also include obtaining feature values of a plurality of first determining features associated with the vehicle in response to the request. The method may also include determining whether the vehicle is damaged based on a first prediction model and the feature values of the first determining features. The first prediction model may be based on a plurality of historical vehicle damage reports including the first determining features. The method may also include transmitting first electronic signals to an electronic device. The first electronic signals may direct the electronic device to display one or more first messages related to whether the vehicle is damaged.

Abstract: The present disclosure is related to systems and methods for transport pricing. The method includes determining an actual service cost and a preset service cost of each of historical orders, and an actual order count corresponding to the preset service cost. The method also includes determining, based on the actual service cost of each of the historical orders, an actual total turnover. The method further includes determining a fitting function with the total turnover as a dependent variable, and a conversion rate and a price adjustment ratio as an independent variable.

Abstract: A system includes a storage device storing a set of instructions and at least one processor in communication with the storage device. When executing the instructions, the at least one processor is configured to obtain, via a network, rule information for rules for determining alert from a rule library and obtain, via the network, operation data of the on-demand service from a storage medium. The at least one processor may also cause the system to determine whether the operation data is in accordance with the rules for determining alert based on the rule information and determine an alert based on the determination that the operation data is in accordance with the rules for determining alert. The at least one processor may further cause the system to and transmit the alert to be displayed to managers of the on-demand service.

Abstract: A method for identifying an incorrect order request is provided. The method may include receiving an order request from a user terminal of a passenger. The method may include determining a probability of incorrection for the order request by analyzing values of a plurality of features from the order request with a target identification model. The method may include identifying the order request as an incorrect order request or a correct order request based on the probability of incorrection of the order request. The method may further include communicating with the passenger through the user terminal in response to an identification that the order request is an incorrect order request.

Abstract: The present disclosure relates to systems and methods for determining a fee of a service request in an on-demand transportation service. The systems may perform the methods to receive a service request from a terminal; determine an estimated basic fee of the service request; generate an estimated adjusting rate of fee corresponding to the estimated conversion rate of transaction; generate an estimated conversion rate of transaction associated with the service request by a prediction model; obtain a function value of a target function, wherein the target function relates to the estimated basic fee, the estimated conversion rate of transaction, and the estimated adjusting rate of fee; and determine an optimized adjusting rate of fee by repeating one or more steps above and comparing the function values, wherein the optimized adjusting rate of fee maximizes the function value of the target function.

Abstract: Methods and systems are provided for preventing user churn. The method may include retrieving historical data associated with a first plurality of users. The method may also include, for each user of the first plurality of users, determining a first feature vector of the user based on the historical data associated with the user, and determining a churn probability of the user by inputting the first feature vector of the user into a prediction model. The method may further include, for each user of the first plurality of users, assigning, based on the determined churn probability of the user, the user to one of a plurality of predetermined groups, each of which is associated with a user retention strategy. The method may also include, for each user of the first plurality of users, determining a user retention operation for the user based on the user retention strategy associated with the predetermined group that the user is assigned to, and performing the user retention operation on the user.