How we Reduced Cloud Spends of Google Place Autocomplete by 80% - A Case Study | Appunite
Context
Our client, utilizing Google Place Autocomplete, faced high operational costs that were undermining their profitability. The challenge was to manage these expenses while maintaining the quality and reliability of location services essential for their e-commerce operations.
Problem Identification and Consequences
The main issue was the excessive and unnecessary data fetched with each query, such as images, ratings, and opening hours, which resulted in higher costs. Additionally, the system was designed to make a new API request with every keystroke, further increasing expenses without adding value to the user experience.
Solution Implementation
To address these issues, we optimized the use of the Google Place Autocomplete API by implementing a sessionToken method. This approach consolidated multiple autocomplete requests into a single session, significantly reducing the number of calls to the API. We also refined the data fields requested to only those necessary, specifically the location coordinates, avoiding the extra charges for unneeded data.
Business and Product Gains
These changes led to a drastic reduction of 80% in Google Place Autocomplete costs. The optimization not only preserved the functionality needed for effective e-commerce operations but also significantly reduced overheads, contributing directly to improved profitability.
