Pavan Sondur, Author at Unbxd

Machine Learning

Site Search in eCommerce and How it All Began at Unbxd

The story of how it all began at Unbxd, in Pavan’s words. I’ve taken a decision to begin writing at an exciting time at Unbxd.

December 7, 2017 No Comments

Machine Learning

Machine Learning Versus Automation in Site Search for eCommerce

Machine learning, AI, Deep Learning are trending buzzwords now. Especially with Site Search and Online Commerce. But, how do you tell that you need machine

November 27, 2017 No Comments

Personalization

What is missing in your 1:1 personalization strategy?

1:1 personalization has become a buzzword in eCommerce today. According to an Econsultancy survey, 94% of businesses believe that personalization is critical to current and

March 28, 2017 1 Comment

Analytics

Who Are Your Most Valuable Ecommerce Customers?

Ecommerce retailers would often notice that not all their customers are created equal; some provide more revenue as compared to others. Identifying these customers is

February 9, 2015 No Comments

Industry News

Inconsistent Amazon Elastic Load Balancing (ELB)

ELB on Amazon AWS has by far been one of the most frustrating of all the services that we have used on the Amazon AWS

July 6, 2012 No Comments

Analytics

Don’t Let Your eCommerce Site Down

The rate of change in the eCommerce world has accelerated dramatically in the last few years , spawning new business models and turning traditional marketing

July 15, 2011 No Comments

Author: Pavan Sondur

Site Search in eCommerce and How it All Began at Unbxd

Machine Learning Versus Automation in Site Search for eCommerce

What is missing in your 1:1 personalization strategy?

Who Are Your Most Valuable Ecommerce Customers?

Inconsistent Amazon Elastic Load Balancing (ELB)

Don’t Let Your eCommerce Site Down

Search

Most Popular

To Employees and Customers of Unbxd

Retailers Talk: How can retailers use AI for their brands?

Unbxd PIM for Amazon: A must have for Modern Retail Sellers

Magento Security Practices To Adopt in 2020

Solving data ingestion at scale using argo workflows!

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