WibiData launches big-data platform for personalized retail

WibiRetail represents the new wave of applications that take advantage of Hadoop

Startup WibiData has launched a platform aimed at giving marketing teams and data scientists the means to create highly personalized retail shopping experiences.

WibiRetail, announced Wednesday, builds on a more general-purpose personalization platform WibiData has built on top of Hadoop.

Large retailers are using audience segmentation and other means to provide general product recommendations, but the results are rather "unimaginative and undifferentiated," Wibidata said in its announcement.

In contrast, WibiRetail can help retailers go much further, such as through "intent-aware" e-commerce applications that can figure out who an individual is shopping for, such as their spouse, Wibidata said.

The platform provides tools for bulk import of data; creating a single schema for all of the data a company has on a customer; a set of predictive models for organizing large product lists into subsets such as best sellers or what is low on stock; and consoles for monitoring the performance of models, according to the company.

WibiData's leadership brings significant technical credibility to the problem its software seeks to solve. It was founded in 2010 by Christophe Bisciglia, a co-founder of fast-rising commercial Hadoop vendor Cloudera, as well as Garrett Wu, who previously served as technical lead of Google's personalized recommendations team.

While Cloudera and other companies have done plenty of work building up Hadoop as a data-processing platform, WibiRetail represents the market need for applications that target specialized tasks and abstract away the underlying complexity of Hadoop, said Rob Seaman, vice president of product.

WibiRetail sits natively on top of a company's existing big-data infrastructure, Seaman said. There's no need for enterprises to replace their e-commerce or email marketing systems in order to use it, either, he added.

When it comes to personalizing the retail experience, there are a number of market segments to consider, Seaman said. One consists of "big, pureplay, tech-based retailers like Amazon," he said. "They've been using big data for some time. It's core to their business."

On the extreme opposite end of the scale lie smaller, mom-and-pop business that don't need technology on the scale of WibiData, he added.

One sweet spot for WibiData are large traditional retailers that have had a difficult time competing against the likes of Amazon. WibiData has already landed Macy's as a customer, although Seaman declined to offer much detail about how the company is using WibiData's product.

WibiData's approach to big data and personalized retail is "compelling," Gartner analyst Robert Hetu wrote in a recent report. The toolset "allows retailers to take a page out of the playbooks of the leaders in consumer technology and rapidly iterate, deploy and learn from new personalization strategies that optimize their customers' experience."

But one downside for WibiData lies in the fact that there are "many competitors vying for control of the retail personalization marketplace," with moves being made by big players such as Oracle and SAP, Hetu added.

Chris Kanaracus covers enterprise software and general technology breaking news for The IDG News Service. Chris' email address is Chris_Kanaracus@idg.com

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.
Show Comments

Blog Posts

Using artificial intelligence to surprise your customers

​We have expected artificial intelligence (AI) will become part of our everyday lives for quite some time.

Katja Forbes

Founder and chief, sfyte

Is customer segmentation dead?

Ginni Rometty, the CEO of IBM, announced the death of customer segmentation five years ago saying, "The shift is to go from the segment to the individual. She might have been a bit premature for most marketers, but if customer segmentation isn't dead yet, it's definitely on life support.

Richard Taylor

Senior digital strategist, Spinach

How people buy brands

Andrew Ehrenberg was a giant in the field of marketing science. He believed scientific methods could reveal law-like patterns of how people buy. In this post, I summarise one of Ehrenberg’s most important discoveries and its implications on how people buy brands.

Kyle Ross

Strategist, TRP

What a great article. Thanks for sharing. Today Digital Marketing is the basic need for a business to survive. As online presence is very...

Ecomsolver Private Limited

Want to master digital transformation? Stop thinking about your own problems

Read more

Feeling grateful that customer led digital transformation could improve business and generate more business growth. Many companies are no...

Lilly Lawrence

How a customer-led digital transformation has helped this CMO generate $6m in incremental business

Read more

If a business games me happy than there is a higher chance I will go to them.

Martinez

The Iconic: becoming customer-focussed transformed our business

Read more

That’s a great example of surprising AR ad that went viral because it was first of its kind. Probably a similar effect to some scale can ...

Natasha Kvitka

Using artificial intelligence to surprise your customers

Read more

Hey there! it is a really meaningful post. I too have written a few similar articles about SEM, SEO, Social Media, Digital Marketing Tren...

Rohit

Digital advertising continues to dominate marketing budgets

Read more

Latest Podcast

More podcasts

Sign in