On-device ML platform for real-time personalization in E-commerce
Boost conversion and retention with truly real-time personalized search, recommendations and more.
Avoid compromising user privacy or breaking the bank on cloud costs with on-device ML.
NimbleEdge executes real-time ML pipelines on users' mobile devices, from in-session data capture to ML inference
This unlocks rapid, cost-effective and privacy-preserving ML for a wide variety of session-aware use-cases for e-commerce apps across fashion, food, beauty, travel and more
Session-aware Personalized Homepage
Deliver tailored homepage feeds incorporating in-session user-product interactions (e.g. clicks, favorites)
~10% uptick in homepage Gross Merchandise Value (GMV)
Real-time Personalized Product Recommendations
Serve personalized product recommendations incorporating session context on checkout, product pages and more
~5% increase in GMV from recommendations
Session-aware Personalized Search Ranking
Leverage real-time user data (e.g. clicks, favorites) to showcase highly relevant search results
6-8% improvement in ranking metrics
Real-time Personalized Ads Ranking
Serve highly relevant ads personalized in real-time based on in-session user behavior (e.g. clicks, likes)
~5% increase in click through rate
Truly real-time, privacy-preserving personalization at a fraction of the cost on cloud
Massive model performance improvement (>5%)
Incorporate real-time user behavior in your ML models, and instantly improve model accuracy
Enormous cloud cost savings (>50%)
Slash cloud costs by eliminating the need for cloud resources for real-time data processing and ML inference
Minimal end-to-end latency (<50ms)
Incorporate user inputs in ML systems instantly, going from event capture to inference in milliseconds
NimbleEdge Platform manages both orchestration and execution capabilities for on-device ML
on-the-fly updates
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Unlock real-time personalization in your mobile app with on-device machine learning
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