the E-Commerce Edge

Make personalization truly personal with the Intelligent Edge.

Delight Customers with tailored search recommendations delivered at lightning speed.

Customers today want a shopping experience that feels designed just for them. Through session-awareness and real-time engagement features, NimbleEdge is able to shape search recommendations, delighting customers and yielding 66% increases in average CTR per session.

ecommerce building

Give customers a reason to stay with a personalized homepage.

Bring mind-reading to life with a homepage customized for each user to reduce choice paralysis. Reduce search time and improve discovery by leveraging session engagement data with real-time on device processing capabilities for homepage recommendations that enable quick item discovery - at 20% of the existing cloud cost.

Increase Conversions with relevant cross-selling and reduced cart abandonment.

We help you increase your Average Order Value by 9.2% by reducing latency with relevant and fast cross-selling due to processing granular behavioral data in real-time.

Use Cases

Home Page Recommendations
‍Search Recommendations
Add-To-Cart Cross Selling
Personalized Push Notifications

ecommerce challenge

E-commerce site visitors are increasingly distracted, and latency greater than 3 seconds can cause ~53% of them to bounce. Batch processing is not able to meet the real-time expectations of app visitors, yet real-time ML implementation on cloud is not scalable, as the cloud costs are 3-5x higher than operating on the edge. In addition, scale handling in real-time ML on cloud becomes tough due to uncertain spikes in traffic.

NimbleEdge Platform

NimbleEdge brings real-time on-device processing capabilities to E-commerce at 20% of the existing cloud costs. Our platform helps run ML Inference & Training that leads to app performance uplifts of 6% with less than 30 ms latency, all the while reducing operational complexity, offering the app visitors a great product search, personalized homepage recommendation.

Case Study

Find out how we helped an E-Commerce customer:

Save 50-60% in cloud costs


Achieve 6% uplift in ML model performance

Raising fund

Smoothly handle 7x scale-handling during through-put bursts


Time-to-market in less than 2 weeks and go live

Money cart
Download Our Case Study

NimbleEdge’s Platform provides both orchestration and execution capabilities for Hyper-Personalization.

powerful icon
Edge pipelines with
on-the-fly updates
paas icon
Use Cases

Leverage the Intelligent Edge for Your Industry


Betterment in transaction success rate through hyper-personalized fraud detection
Fraud detection models that try to flag fraudulent transactions (applies to all the FinTech apps)
Speed & Reliability issues with transactions in non-real time ML systems on the cloud limit personalization levels, as it operates with Huge Costs of running Real-Time ML systems on the Cloud
Read Use Case


See uplifts in game retention metrics like gaming duration, completion, game cross-sells and LTV
Contest SelectionMatchmaking and Ranking Cross-contests recommendationPersonalized offers and pricing
As a result of cloud’s limited infrastructure in providing scalability with respect to ML model deployments and processing in real-time, gaming apps adopt non real-time/batch processing that negatively affects click-through rates, game duration, completion, cross-sells, and lifetime value of players.
Read Use Case


Savings in the privacy budget with privacy preserving encryption algorithms
Personalized Search recommendations (Exercises, Nutrition, Services, Products)
User engagement metrics, customer acquisition and retention, NPS, and other business app metrics suffer. On-device/Edge processing can be a great solution but the data processing capacity is inherently limited due to resource constraints of edge devices.
Read Use Case

Travel & Stay

Increase in average booking value with new and repeat customers with higher NPS & savings in cost of acquisition
Travel & Stay
Search/Service recommendation models  + Personalized offers and pricing
NimbleEdge’s HOME runs real-time ML - Inference & Training - on-device, ensuring performance uplifts in Search/Service recommendation and Personalized offers/pricing models at 1/5th of the cost to run them on the cloud.
Read Use Case

Want to
learn more?

Get in touch to learn more about hyper-personalization for your mobile app with NimbleEdge.
Get in Touch