Piktorlabs' 'VERA' Recommends Based on Popular Styles & Media
Laura McQuarrie — January 20, 2019 — Business
References: piktorlabs & prnewswire
Launched at NRF 2019, Piktorlabs' VERA is a first-of-its-kind digital personal shopping assistant that engages consumers across all digital channels and provides smart recommendations based on of-the-moment styles, as gleaned from real-time insights based on popular products, shopper preferences and online media. With this commercial solution, retailers are able to integrate VERA into fitting rooms, self-service counters and more to help consumers identify their garment of choice with suggested outfit recommendations based on popular styles and in-store availability. Thanks to VERA's data-driven suggestions, shoppers are encouraged to expand their horizons with matching garments and complementary accessories, as well as similar products.
In addition to supporting product discovery, VERA also helps shoppers request a fitting, place online orders, arrange home deliveries or share inspirations via social media.
As VERA's inventor, Ankit Shekhawat, describes: "VERA's AI-powered fashion recommendations truly inspire shoppers and helps retailers solve current pain points of successfully blending in-store and digital experiences, recapturing Millennial and Gen Z shoppers."
In addition to supporting product discovery, VERA also helps shoppers request a fitting, place online orders, arrange home deliveries or share inspirations via social media.
As VERA's inventor, Ankit Shekhawat, describes: "VERA's AI-powered fashion recommendations truly inspire shoppers and helps retailers solve current pain points of successfully blending in-store and digital experiences, recapturing Millennial and Gen Z shoppers."
Trend Themes
1. Digital Personal Shopping Assistants - The rise of digital personal shopping assistants like VERA presents opportunities for retailers to engage with consumers across all digital channels and provide personalized and real-time recommendations based on popular styles and media.
2. Data-driven Suggestions - Data-driven suggestions from tools like VERA encourage shoppers to explore new styles, expand their horizons, and discover complementary products.
3. Blending In-store and Digital Experiences - The integration of digital personal shopping assistants like VERA into physical stores allows retailers to bridge the gap between in-store and digital experiences and provide a seamless and personalized shopping journey.
Industry Implications
1. Retail - The retail industry can leverage digital personal shopping assistants like VERA to enhance the customer experience, drive sales, and increase customer loyalty.
2. Fashion - The fashion industry can leverage the data-driven recommendations of digital personal shopping assistants like VERA to stay current with popular styles and trends, expand their customer base, and improve overall sales.
3. Technology - The technology industry can develop and enhance the capabilities of digital personal shopping assistants like VERA to provide more accurate and personalized recommendations, improving the overall shopping experience for consumers.
6.5
Score
Popularity
Activity
Freshness
