Make personalization truly personal with the Intelligent Edge.
Help them decide with customized Search Results.
Leverage real-time engagement data to show tailored search results to your users based on session behavior and preferences, including clicks on destination guides, reviews of hotels, searches for flights, and exploration of local attractions - with less than 30 millisecond latency and autocomplete search at lightning speed.
Reduce app-switching with hyper-personalized 'See Similar Properties' suggestions
The opportunity cost of users leaving the travelling app is one of the highest for the travel industry due to the high perishability of their services. With hyper-personalized session-awareness, use short term search history and real-time in app behavior to rank and show similar properties as per the user’s intent.
- Batch processing is not able to keep pace with the personalization required by real-time expectations of the user.
- Implementing near real-time ML in the cloud is 5X more costly than deploying it at the edge.
- Cloud-based near real-time ML struggles to scale efficiently due to unpredictable traffic spikes.
- Delay in quick processing of suggestions due to high latency.
Our platform runs real-time ML Inference and training on-device, resulting in improved performance of ‘Recommendations’ and ‘Re-ranking’ models at 20% of the cost needed to run them in real-time on the cloud.This boosts property recommendations according to traveller’s preferences during the session, eventually increasing the lifetime value of the user while reducing operational complexity and latency to less than 30 ms.
NimbleEdge’s Platform provides both orchestration and execution capabilities for Hyper-Personalization.