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Figure 2.3 represents the pictorial representation of the AI-powered system. Quoting the example of a person whose location has been one same metropolitan city for the long time and suddenly books a ticket to Bangalore. The user may search a location in Google maps from all these, and the AI component will learn where exactly the user is going and how long he will be there. Now, the AI system should be able to track the user’s new location and send him the notifications of the best suitable closest options to him like hotels, restaurants, and places to visit based on his salary, expenses, food habits, reviews on the previous stay, etc. Every possible factor should be considered with the access to user’s location, messages, profile, etc. Within his budget, the AI component can recommend hotel to him with appropriate location and price. It will save him lot of time, in many of the cases user may miss some of these, but the AI component will consider all aspects and recommends the suitable based on building the appropriate query to the user. The system should learn from the user’s feedback and become adaptive to the user in a better way.

Figure 2.3 AI-powered location-based system.

The enhancement that can be bought with AI:

1 Personalization

2 Sending Adaptive Notifications

3 Analyzing

4 Reduce labor at routine jobs