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Analytics

All the news and content you need about retail analytics, including information on retail tech such as business intelligence, big data, machine learning, artificial intelligence and more. 

 

Data & Analytics: Gaining a Pulse on Today’s Spontaneous Shopper

Given the level of spontaneity of consumers, and the overwhelming amount of choice, retailers need to capture the pulse of shoppers and stay ahead of consumers’ thinking.

Celerant Technology has teamed with SCOPE CLX, a business analytics program for the shooting sports industry, in the name of consumer insight.

30th Annual Retail Technology Study

For 30 years RIS has been benchmarking retail’s tech maturity with its annual Retail Technology Study. For the 30th anniversary we carry on the tradition and dive deep into the modern retail tech stack, exploring more than 80 different technologies.

The biggest unknown is whether there will be a delayed economic recovery or a prolonged contraction. Regardless of the outcome, retailers and their CPG suppliers need to think ahead and be prepared to act quickly. 

How leveraging data lets retailers address crisis-driven consumer demand.

The new retail landscape will need to be more data driven, more dynamic and substantially leaner.  

The tech, which combines computer vision, sensor fusion and deep learning, detects what consumers remove or return from shelves, tallying them in a virtual cart.

Miller was given the award for her work in transforming Neiman Marcus into a nimble and personalized luxury retailer. Most significantly, this included shifting the company to maintaining a “cloud-first” strategy.

Group customer data can guide retailers to design the correct marketing strategy, promote the right products to the right people, and make sure that all their efforts are highly targeted. 

The number of households shopping health stores is nearly double the prior year by mid-February, a new Shopping Behavior Index reports. Find out more insights from this weekly index providing visibility into U.S. consumer buying behavior shifts driven by COVID-19 (Coronavirus).

While AI and machine learning (ML) offer retailers great leaps toward offering exceptional customer experiences, customer data lies at the heart of these operations, and protecting that data will be key as retailers implement automation and personalization strategies.

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