Tag Archives: brick-and-mortar

Brick-and-Mortar retailers and brands have not had their share of fortune in recent times. But, the ones who have continued to persevere in the times of adversity finally have something to cheer about. At least, the latest findings suggest so. A large part of the retailers’ perseverance included the need to continue providing a one
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brick-and-mortar retailers

Brick-and-Mortar retail in India has been in constant conflict with online retail for the past few years. One of the main reasons for this turmoil has been the depleting level of sales that offline retailers have had to deal with. It’s 2017 now, and things are looking a little upbeat for the offline retailers. At
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apparel fashion retail

The popular verdict across the globe state that the days for physical retail are numbered. However, there are various instances and indications that continue to contradict this point. There is life still left in Brick-and-Mortar stores. The customers’ demand for immediate gratification and an enriched in-store experience is something online retail will never be able
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physical retail

Despite the massive rise of online retail in recent times, Brick-and-Mortar have somehow managed to hold its’ own. With the worst phase gone, things are now again looking bright for offline retail. An in-flux of advanced levels of technology in-store along with the growing relevance of omnichannel retailing has meant that the focus is well
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brick and mortar store

For the last few years, online-only retailers have flourished beyond belief. Brick-and-Mortar has taken a beating indeed, but the tides might have just started to turn. Brick-and-Mortar has been down, but certainly not out. It's not that customers suddenly are bored of shopping online or from their mobiles. It's just that, a huge plethora of
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brick-and-mortar store

Big Data Analytics is an all new application trend in the global retail process. Big Data Analysis in the retail world is quite challenging which has underpinned the emergence of Retail Analytics. Working out on demand of the popular products, predicting the trends, forecasting the demand, price optimization, identification of customer's behavior, changing the traditional
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big data in retail