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A total of 896 stores disappeared from Great Britain s town centres in 2016, the biggest decline since 2012 as openings outstripped closures. Store closures increased from 14 to 15 per day on average, while openings fell to a record low of 12 per day in the face of market uncertainty surrounding the referendum vote. The research clearly highlights the changing face of town centres - leisure and experience destinations continue to replace traditional high street stalwarts, said Mike Jervis, retail specialist at PwC. The insatiable appetite for fast food and coffee shops fills the void left by banks, mobile phone and clothing shops, he added. Mr Jervis said that fashion sales are migrating online at a faster rate than ever, leaving shop closures in its wake. Madeleine Thomson, retail and consumer leader at PwC said: 2017 will be a crucial year for retailers. The combination of price inflation on goods and groceries will mean that brand loyalty เบอร์มงคล ราคาถูก มาก will play a more significant role than ever. Retailers will need to be increasingly versatile and savvy to attract shoppers who face a squeeze on disposable income in the year ahead, Ms Thomson said. Despite the closures, Ms Thomson said consumers continue to place value on the in-store experience, with the most important attribute being shop staff with a deep knowledge of products they sell. Greater London saw the biggest loss of stores in 2016 with 232 closures, followed by South East with 181 and Scotland with 112.

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The company sells apparel, footwear and accessories for men and women targeting the millennial consumers. Abof's goal is to provide a highly convenient and distinctive customer experience, driven by a strong technology backbone and 100% curated merchandise. In a first for India's retail market, abof customers can use natural language questions within abof's enhanced eCommerce platform to receive greater personalization and product recommendations. With this new discovery tool, shoppers can now interact and ask natural language questions about abof's unique product assortment, and then receive custom responses to their inquiries. For example, a customer could type, "where can I find a red floral dress?" or type a combination of price and product inquiry such as, "show me black shoes below INR 2000." These inquiries are recognized and understood by the system on abof's website to recommend top matches to the shopper. The customer engagement is conducted through a simple question and answer interface leveraging Watson's Natural Language Classifier , as well as Retrieve and Rank delivered on the IBM Cloud . IBM Global Business Services and IBM Research worked with abof to introduce the service and help create a more engaging and intuitive shopping experience for customers. "The business of fashion has experienced extreme change in recent years," said Prashant Gupta, President and Chief Executive Officer, abof.com. "Our aim is to create seamless and convenient shopping experiences for our customers in the digital world. This is a start of our cognitive journey and we plan to implement more Watson-enabled solutions in the future to continue our momentum." "India is the fastest growing e-commerce market and expected to reach $64 billion by 2021. With this exponential growth, India's retailers need to drive deeper understanding, better engagement, and leverage data more efficiently to enhance the customers' shopping experience," said Steve Laughlin, General Manager, IBM Global Consumer Industries. "With IBM Watson, abof can make the customer shopping experience more personalized, informed and enjoyable, similar to the engaging service shoppers could get in a physical store." Today's news builds on the strong collaboration between abof and IBM to provide an enhanced personalized shopping experience to abof customers. In 2016 , IBM provided abof with a scalable e-commerce platform, seamless order fulfillment options, and innovative customer engagement features such as a 3D virtual trial room.

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