Category Archives: Analytics

Every retailer aims to make data driven marketing decisions, and wants to enhance the overall personalization levels in store. For this, they need to know their customers inside out. Customer behavior analytics allow retailers to get a clear understanding and knowledge about their customers. Relevant insights allow retailers to gain a competitive edge as they
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customer behavior

In the last few years, competition has certainly intensified in the retail sphere. The significance of retail analytics has been growing and does not appear to be slowing down soon. Retailers have consistently enjoyed an increased return on investment because of using analytics tools. Not only has it allowed them to enhance the customer experience,
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retail store analytics

Retailers across the globe are fighting to attain the much-required edge over their competitors. As a result, there has been an increase in the adoption of analytics solution adopted by them. As per data from a study by MarketsandMarkets, the retail analytics market is likely to double in size in the period of 2015-2020. At
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retail analytics

For retailers, data is everything today. From customer analytics and inventory management to providing personalized offers and attaining customer loyalty, it serves all purposes. The primary aim of retailers is to attain higher revenue and provide the best possible experience to the customers. Today, data is leveraged for maximum outcome by many retailers. For this
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data management

The introduction of latest technology is transforming the retail providing the shoppers with a new line of in-store engagement, where retailers can predict shopping trend of the customers, when they are in the store and push promotional message depending on their daily needs. This innovative, personalized purchase has not only simplified the shopping scenario in
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big data in retail

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

Big and small and medium enterprises (SME) in 2016 are using Retail Analytics to drive sales and provide an excellent customer support service to its patrons. This need increase with the growing size of the super competitive market and customer's access to unlimited data sources. So, now the prime target of the market is to
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Predictive Analytics

Retail Analytics is the future of the Brick-and-Mortar world. The Retail world is steadily adopting the Retail Technology with Big Data solution to increase sales, which is by 73% as for now according to a recent analysis.   Common Challenges faced by Big Data:   Predicting consumer behaviour has now become a difficult task after
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big data and hadoop

Mobile is becoming a strong platform for Personalized Marketing. If you wonder why mobile? There are heaps of favorable arguments that your handset has already pocketed. If it is a smartphone, every 7 out of 10 is its active user and the user rate is almost 100% for normal phones. But when we talk about
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personalized marketing

You have a large Retail store, a Brick-and-Mortar one, with a plethora of products to sell. From fresh vegetables, fruits, grocery items, kitchen utensils, baby products, toiletries, beauty products for women, books and DVDs, and what not! Though you have every product for your customers under one roof, sales figures are not that impressive. You
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retail analytics