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Secure Fashion Retail Apps

'Mona' is a Digital Personal Shopper That's Powered Up Innovative AI

— November 11, 2016 — Tech
'Mona' is the name of fashion retail app founded by Orkun Atik that simplifies the online shopping process for consumers.

To do so, it compiles recommendations based on what the user likes and what they've bought before -- meaning that one doesn't need to tirelessly scroll through a slew of products they have no interest in. What makes the fashion retail app especially attractive is the fact that it seeks out the best sales however -- saving consumers a lot on cost.

Taking from over 1,300 brands, Mona is able to compare prices and styles so that only the most applicable are shown. Not only that, but the security of the app prevents one from having their personal data spread on the web and their credit card information from getting stolen.
Trend Themes
1. AI-powered Personal Shopping - Fashion retail apps are integrating AI to create personalized shopping experiences that increase efficiency and customer satisfaction.
2. Sales and Cost Optimization - Fashion retail apps are offering cost optimization services through discount tracking, price comparisons, and exclusive deals to increase customer engagement.
3. Secure E-commerce Platforms - E-commerce platforms are investing in secure technologies to protect personal information and prevent identity theft while providing an intuitive shopping experience.
Industry Implications
1. Fashion Retail - Fashion retail companies are leveraging AI and e-commerce platforms to provide accurate recommendations, simplify the shopping process, and increase customer loyalty.
2. E-commerce - E-commerce companies are investing in secure, user-centric platforms that enhance user experience and prevent data breaches, increasing customer trust and engagement.
3. Cybersecurity - Cybersecurity companies are working with e-commerce and fashion retail industries to develop secure applications and systems that protect personal information and financial data, increasing consumer confidence in online shopping.
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