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Google Maps helps improve customer and driver experience

How Google Maps Platform Helps Improve Customer And Driver Experience

Google Maps platform help ridesharing services and businesses to get their jobs done easily. It aids drivers and customers by giving them convenience and efficiency. Using their route planning platform, developers can place a turn-by-turn navigation feature into applications. This makes gig driving apps easier to use, and it boosts the overall experience.

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A better experience for customers with Google Maps

A familiar annoyance for all riders is the inaccuracy of ETA. It is a common problem that riders face daily. If a rider is heading out for an emergency meeting or simply rushing somewhere, he’d want to know his ETA. A sense of knowing when to get there will save him or her a lot of unwanted difficulties.

The rider will also notice drivers heading his or her way and the one with the shortest ETA. Therefore, wasting no time or effort to choose a ride.

A better experience for drivers with Google Maps

Having a good customer ETA, you can increase the number of rides you get per month. This way, you will increase customer loyalty and decrease cancellations. Thus, earning more money. All these are made possible through Google Maps platforms.

Another thing to look at is the convenience that comes with it. Constantly changing between a driver’s app and a navigation app can be confusing and unsafe most times. Therefore, with this ridesharing solution, you can easily combine and enjoy the two features altogether.

Improved company operations

Google Maps ridesharing solution helps enhance company operations. It helps in filling out some details about the progress and activities of each driver. For example, a gig business likely decides to search a driver’s route for analysis at a specific time. They can conveniently do so by just viewing the app.

Trip and order planning

Google Maps solutions are good for trip and efficient order planning. You can conveniently plan your trip and place orders using its data precision and ETA estimate.

 

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