RENTAL VEHICLE SYSTEM OPTIMIZATION
Techniques are described for optimizing various aspects of rental vehicle systems. According to an embodiment, a computer implemented method is described that facilitates minimizing redundancy in rental vehicle options provided in response to a user query. The method comprises identifying available vehicles included in a fleet of rental vehicles that satisfy one or more required criteria for a rental vehicle booking included in a request received for the rental vehicle booking from a user identity. The method further comprises determining whether one or more properties of the available vehicles are relevant to the user identity, grouping the available vehicles into one or more booking options based on whether the one or more properties of the available vehicles are relevant to the user identity, and generating a search results list for presenting to the user identity comprising the one or more booking options.
1 . A system that facilitates navigating a touch screen, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a search component that receives a request for a rental vehicle booking from a user identity and identifies available vehicles that satisfy one or more criteria for the rental vehicle booking included with the request;
a request interpretation component that determines whether one or more properties of the available vehicles are relevant to the user identity;
a grouping component that groups the available vehicles into one or more booking options based on whether the one or more properties of the available vehicles are relevant to the user identity;
a results component that generates a search result list for presenting to the user identity comprising the one or more booking options.
2 . The system of claim 1 , wherein based on a determination that a property of the one or more vehicle properties is relevant to the user identity, the grouping component distinguishes between the available vehicles that have the property and the available vehicles that do not have the property.
3 . The system of claim 1 , wherein based on a determination that a property of the one or more vehicle properties is not relevant to the user identity, the grouping component groups first available vehicles of the available vehicles that have the property and second available vehicles of the available vehicles that do that have the property into a single booking option.
4 . The system of claim 1 , wherein based on a determination that no vehicle properties other than the one or more criteria are relevant to the user identity, the grouping component groups all the available vehicles into a single booking option.
5 . The system of claim 1 , wherein the one or more criteria are required for the rental vehicle booking and the one or more properties are optional for the rental vehicle booking.
6 . The system of claim 1 , wherein the one or more criteria include at least one of a location for the rental vehicle booking or a timeslot for the rental vehicle booking.
7 . The system of claim 1 , wherein the request interpretation component determines whether the one or more properties of the available vehicles are relevant to the user identity based on identification of the one or more relevant vehicle properties in the request.
8 . The system of claim 1 , wherein the request interpretation component determines whether the one or more properties of the available vehicles are relevant to the user identity based on profile information for the user identity.
9 . The system of claim 1 , wherein the request interpretation component determines whether the one or more properties of the available vehicles are relevant to the user identity based on a rental vehicle history information for the user identity.
10 . The system of claim 1 , wherein the request interpretation component employs machine learning and artificial intelligence to determine whether the one or more properties of the available vehicles are relevant to the user identity.
11 . A method, comprising:
identifying, by a system operatively coupled to a processor, available vehicles included in a fleet of rental vehicles that satisfy one or more required criteria for a rental vehicle booking included in a request received for the rental vehicle booking from a user identity;
determining, by the system, whether one or more properties of the available vehicles are relevant to the user identity;
grouping, by the system, the available vehicles into one or more booking options based on whether the one or more properties of the available vehicles are relevant to the user identity; and
generating, by the system, a search results list for presenting to the user identity comprising the one or more booking options.
12 . The method of claim 11 , wherein based on a determination that a property of the one or more vehicle properties is relevant to the user identity, the grouping comprises distinguishing between the available vehicles that have the property and the available vehicles that do not have the property.
13 . The method of claim 11 , wherein based on a determination that a property of the one or more vehicle properties is not relevant to the user identity, the grouping comprises grouping first available vehicles of the available vehicles that have the property and second available vehicles of the available vehicles that do that have the property into a single booking option.
14 . The method of claim 11 , wherein based on a determination that no vehicle properties other than the one or more criteria are relevant to the user identity, the grouping component groups all the available vehicles into a single booking option.
15 . The method of claim 11 , wherein the one or more required criteria include a time for the rental vehicle booking.
16 . The method of claim 11 , wherein the one or more required criteria include a location for the rental vehicle booking.
17 . The method of claim 11 , wherein the determining comprises determining whether the one or more properties of the available vehicles are relevant to the user identity based on identification of the one or more relevant vehicle properties in the request.
18 . The method of claim 11 , wherein the determining comprises employing machine learning and artificial intelligence to determine whether the one or more properties of the available vehicles are relevant to the user identity.
19 . A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
determining available vehicles included in a fleet of rental vehicles that satisfy one or more required criteria for a rental vehicle booking included in a request received for the rental vehicle booking from a user identity;
determining whether one or more properties of the available vehicles are relevant to the user identity;
grouping the available vehicles into one or more booking options based on whether the one or more properties of the available vehicles are relevant to the user identity; and
generating a search results list for presenting to the user identity comprising the one or more booking options.
20 . The machine-readable storage medium of claim 19 , wherein based on a determination that a property of the one or more vehicle properties is relevant to the user identity, the grouping comprises distinguishing between the available vehicles that have the property and the available vehicles that do not have the property.