Optimization of Google Places API and Distance Matrix for Taxi App

Optimization of Google Places API and Distance Matrix for Taxi App

Description:

We operate a taxi app similar to Uber, allowing customers to select pick and drop locations using the Google Places API. However, the increasing costs associated with Google Places API calls have prompted us to explore optimization solutions.

Existing Solutions:

We've implemented a solution to store searched places in our database, reducing redundant Google Places API calls.
Usage of the Google Distance Matrix for estimating initial taxi service amounts has been causing a substantial number of calls (10 per booking). Now we have integrated Here api for distance matrix call to save some amount. But it is not a permanent solution.
Additional Solutions Needed:
We're seeking experienced professionals who can propose and implement further optimization strategies for both Google Places API and Distance Matrix calls.
Also we can check on direction api too.

Key Points:

Objective: Optimize the usage of Google Places API and Distance Matrix for cost reduction.
Current Strategies: Database storage for previously searched places.
Challenge: High costs associated with API calls for every booking.
Desired Outcome: Reduction in API calls or more cost-effective alternatives.
Requirements for Applicants:

Proven experience with Google Places API and Distance Matrix.
Successful projects or solutions addressing similar optimization challenges.
Demonstrable ability to optimize costs without compromising service quality.
Efficient communication and problem-solving skills.
If you have the expertise and experience in optimizing Google Places API and Distance Matrix calls, we'd love to discuss this further in private messages. Please share your previous projects or relevant experience.

App side - Android Java, iOS swift
Backend - PHP and Node js
Hosting - Linux Ubuntu.