Retail is a tough place, thanks to changing consumer behaviour, pressure on margins and competition everywhere – but it’s a tremendously exciting space too.

Transformative impact


From fashion to food, online to in-store, retail is changing beyond recognition. Against a backdrop of rising costs and competitive pressures, consumers are demanding a seamless omni-channel experience, increased choice and greater personalisation – not to mention convenience factors of same-day delivery and free returns.


Delivering a louder voice

To top it all, the rapid pace of technology advancement – from chatbots to digital convergence, from smartphone checkouts to IoT – opens new avenues for customers to engage with retailers. The result is creating volumes of data from every click, tap or touch, and every swipe, search or share.

The challenge for retailers is not about the lack of data, but rather how to drive real value from the immense volumes of data, to directly impact top- and bottom-lines.

Our take on things

Hear how we are helping Retailers better understand their customers and develop targeted Marketing strategies from our Head of Sector Ian Jarvis.

How we make it happen

At The Smart Cube, our specialist retail teams use advanced analytics to solve problems across the Retail Value Chain – supporting retailers to drive value, engage more effectively with customers, and optimise operations. Our solutions touch the four core elements of the Retail Value Chain and are tailored to remove friction points at each stage of this chain.

Concept Lab

Set your innovation free to perform. Our pioneering Concept Lab for consumer-facing businesses enables accelerated innovation using advanced machine learning.

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Customer Science

Consumers demand superior experiences from retailers. They expect speed, choice and location. How will you respond?

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Protect your market share and elevate performance by optimising promotions and sales in an ever more competitive marketplace.

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Pricing & Promotions

Get with the programme. Our retail specialist teams work with advanced machine learning tools to enable informed marketing decisions.

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Loss Prevention

Adapt and re-invent to survive. We help retail to evolve and thrive in a constantly changing, always-on world.

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Case study : Retail analytics

A leading UK-based retail chain wanted to scientifically assess the impact of campaigns and store initiatives.

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Related resources for Retail

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