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Facing the Facts About Biometric Technology

Imagine walking into a store and never having to pull out your wallet, or fumble around for cash. Imagine the ability to use your own identity as a form of payment. Sound like a scene from the Minority Report? To some, definitely. For others, like Google, it’s their latest project. It’s appropriately called ‘Hands Free’ - an app that uses...

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The Beautiful Truth of Mobile Consumerism

The beauty industry is one where personalization and experimentation can come together and flourish. This is why it comes as no surprise that beauty retailing in the US is evolving, as consumers are turning towards mobile technology while shopping for their favourite products. New research reveals that 45 percent of beauty consumers prefer to consult their smartphone for product information...

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The truth about personalization across channels

Retailers share one commonality no matter what industry or product they sell : they’re always looking for ways to increase revenue and optimize customer experience. Accurately predicting what to sell each customer and at what price is a difficult task, but a necessity when it comes to keeping customers happy. The tricky part is effectively using data from all channels to make...

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Beyond Collaborative Filtering (Part 2)

Note: This is Part 2 of our series on recommendation systems and collaborative filtering. Please check out Part 1 of our series for the challenges of building a retail specific product recommendation system and an overview of collaborative filtering. Retail Product Recommendations Once a good collaborative filtering model has been built using matrix factorization, the individual dense latent customer and product vectors can...

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Beyond Collaborative Filtering (Part 1)

Here at Rubikloud, a big focus of our data science team is empowering retailers in delivering personalized one-to-one communications with their customers. A big aspect of personalization is recommending products and services that are tailored to a customer's wants and needs. Naturally, recommendation systems are an active research area in machine learning with practical large scale deployments from companies such...

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What’s happening to Canadian retail, eh?

Can you recall the last time you walked past a Jacob, Smart Set or Mexx retailer while shopping in Canada? Do you even remember the brands? October 2014, November 2014 and December 2014 respectively are the dates when each company announced that store closures were beginning to happen. Although Smartset is disappearing under the Reitman’s label, Mexx has vanished from...

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Data Driven Marketing Decisions
Data-driven decisions in retail need to rely on more than legacy analytics.

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