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A weekly summary of the news, trends, reviews, profiles and articles from Retail CIO Outlook
September 06, 2018

Retail CIO Outlook Weekly Brief

Newsletter for Enterprise Technology Decision Makers

Feature of the Week
Banks are also partnering with specialized third parties that have previously built sophisticated marketing tools they can use without recreating those in-house.
Advanced technologies such as sensors, RFID tags are also driving IoT in the retail market. RFID tags include fraud prevention, inventory management, and analyzing customer behavior.
Progressive customer relationships are vital for the growth and success of an organization. Customer loyalty is a key driver of profitability and understanding customers' requirements is fundamental to business success.
Featured Vendors
Delivers a comprehensive and integrated hardware and software solution for entertainment, amusement, and leisure industry.
UP Solution provides POS hardware, software, and payment processing services, to provide business owners the convenience of managing their POS and payment related issues, in one place.
With their leading kiosk technology, I&I enables retailers to give their customers a mix of next-generation products on demand with their kiosk applications.
CIO Viewpoint
Sherif Mityas, CIO and CSO, TGI Fridays
Imagine it’s Thursday night, the kids have soccer practice and you’re always looking for a place to pick-up dinner on the way home.
Armin Roeseler, CIO and Managing Partner, Fortacs Group, LLC
Requirements regarding site performance, reliability, scalability, and flexibility, etc., provide new challenges for IT organizations.
CXO Insights
By Perry Kramer, SVP & Practice Lead, Boston Retail Partners
Retailers that are thriving—and there are lots of them— anticipate and react to consumers’ demand for an enhanced and continuously changing retail experience.
By Dara Meath, Vice President - Information Technology, The Camuto Group
Retails can gather real-time behavioral data with AI to understand consumers’ needs at a deeper level, and more accurately forecast the goods they are most likely to buy.