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For more than 30 years, Cabling Installation & Maintenance has provided useful, practical information to professionals responsible for the specification, design, installation and management of structured cabling systems serving enterprise, data center and other environments. These professionals are challenged to stay informed of constantly evolving standards, system-design and installation approaches, product and system capabilities, technologies, as well as applications that rely on high-performance structured cabling systems. Our editors synthesize these complex issues into multiple information products. This portfolio of information products provides concrete detail that improves the efficiency of day-to-day operations, and equips cabling professionals with the perspective that enables strategic planning for networks’ optimum long-term performance.

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AI Shopping Assistant & Stylist For Personalized Fashion Recommendations Launch

Drezily launches the first AI-powered conversational shopping assistant for U.S. fashion, offering personalized cross-store recommendations to simplify and improve customer experiences.

-- Drezily has announced the launch of what it describes as the first conversational and personalized shopping assistant powered by artificial intelligence for the U.S. fashion market. The platform allows shoppers to chat with an AI stylist, upload images, or paste product links to receive instant recommendations drawn from a curated network of premium and mid-luxury partner stores.

Further details are available at https://www.drezily.com

Like its real-life counterpart, the AI-driven shopping assistant can enhance a consumer’s shopping experience, streamlining the decision-making process and shortening the time between browsing and final purchase. A 2021 survey by Accenture found that 91 percent of consumers are more likely to shop with brands that provide relevant offers and recommendations — demonstrating how assistance that considers individual style and intent can transform casual browsing into purchase decisions by seeking out these deals.

In a fashion market inundated with choice, an AI co-pilot tailored to personal preferences helps cut through the noise, saving time and improving satisfaction.

Unlike existing search or comparison tools, Drezily integrates conversational, image-based, and link-based queries to produce results across more than 90 curated set of retailers in one view. The technology adapts to each shopper’s fit, style, and price preferences, combining personalization with cross-store aggregation to streamline the entire experience.

According to the company, this is the first system capable of performing an advanced conversational search across multiple stores while learning from user interactions at scale. The launch positions Drezily as an early mover in the U.S. fashion market, with plans to expand to additional categories and international markets.

Divya Manjari, co-founder and CEO of Drezily, explains that the conversational interface is central to its design. Rather than forcing users into rigid menus, the AI assistant can interpret natural language, visual inputs, and links to generate relevant results on demand. With 100,000 users since its beta launch 9 months ago, Drezily is already showing traction in the U.S. women’s apparel segment. The platform supports style continuity — learning how individual patrons prefer silhouettes, colors, fits — and surfaces options tuned to those preferences.

In the broader fashion tech landscape, systems like these represent a shift toward experience-centric retail. As consumers increasingly expect brands to “know them,” assisting them conversationally helps close the gap between desire and discovery. Personalization in fashion isn’t just about algorithmic suggestions—it’s about fostering confidence, sparking exploration, and reducing friction.

Readers wishing to explore the capability of conversational shopping assistants may find that solutions like Drezily offer a glimpse of what retail could become when intelligent systems move from static recommendation engines into dynamic co-stylists. More information is available at https://www.drezily.com

Contact Info:
Name: Divya Manjari
Email: Send Email
Organization: Drezily Inc
Address: 691 S Milpitas Blvd Ste 217, Milpitas, CA 95035, United States
Website: https://www.drezily.com/

Source: PressCable

Release ID: 89172235

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