Does anyone here power district features in a white label rideshare with Gemini AI? I have been experimenting with its possibilities in enhancing real time route suggestions, driver pairing and even predictive analytics.
An example of this might be a small piece I have been testing on the Gemini AI API to produce insights, on route efficiency:
from gemini_ai import GeminiClient
client = GeminiClient(api_key="your_api_key")
prompt = "Suggest the most fuel-efficient route between A and B with live traffic data."
response = client.generate(prompt=prompt)
print("Optimized Route:", response.text)
Has anybody any other attempt of the kind?
Also, I got to research solution providers and found out about ‘Moderated by moderator’ they have a quite exercisey white label rideshare platform, and I wonder whether anyone has any experience with this one, and was it possible to incorporate Gemini or other AI tools into their system.
Would love to know what tech stacks you have used and what worked out for you (or not), and whether the use of Gemini AI has paid off to be used in production environments.
Who wants to share what is working and what is not!