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What is Videoly?

Videoly expertly incorporates high-quality product videos into e-commerce sites, significantly improving the shopping journey while increasing sales figures. By leveraging captivating video content, retailers can offer customers the immersive experience they desire, which in turn aids in their decision-making process. In today’s market, where consumers demand enjoyable and educational online experiences, video content proves to be a powerful tool that closely resembles the in-store shopping atmosphere, thereby boosting consumer confidence when they opt to hit the “add-to-cart” button. Studies show that a significant 72% of consumers prefer to learn about products or services via video, and sites that feature such content witness users spending an impressive 88% more time browsing. Additionally, 64% of shoppers express a greater likelihood of making a purchase after watching a product-related video. Videoly transforms the online retail sector by identifying, curating, and automatically embedding crucial videos that enhance conversions, foster engagement, and provide social proof. Moreover, Videoly simplifies the video distribution process for brands, ensuring that their product videos are seamlessly connected to the appropriate pages of their retail partners. This innovative strategy enables both retailers and brands to optimize their video marketing strategies effectively, ultimately leading to greater customer satisfaction and increased revenue. In this way, Videoly not only supports sales growth but also enriches the overall digital shopping experience.

What is Imagr?

Let's transform the global shopping landscape by eliminating queues and manual scanning through AI-powered smart carts that are designed for retailers and highly desired by shoppers. The dawn of a new era in efficient, scalable checkout is here. Imagr seamlessly integrates into current retail environments and systems without necessitating any alterations to existing infrastructure; simply unpack it and connect. We provide everything necessary to initiate this change. The onboarding process is both quick and simple, as our imaging technology develops an AI model of your products and integrates them into your system’s database. Once onboarded, these items will be recognized instantly by carts in all locations using the Imagr system. Customers can easily connect to the cart via their smartphones or a fixed tablet, utilizing either your existing in-store application or ours. As they add or remove items from the cart, these actions are logged in real-time within the app. Shoppers can select their desired payment method, collect their bags, and exit the store without any hassle. Our cutting-edge technology enhances your shopping carts with sophisticated computer vision and machine learning, delivering a more streamlined retail experience for everyone involved. This breakthrough not only aids retailers but also significantly alters the way consumers interact with their shopping surroundings, ultimately paving the way for a more engaging and efficient experience. With Imagr, the future of shopping is smart, efficient, and user-friendly.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Videoly

Date Founded

2014

Company Location

Finland

Company Website

videoly.co

Company Facts

Organization Name

Imagr

Date Founded

2015

Company Location

New Zealand

Company Website

www.imagr.co/en

Categories and Features

Video Marketing

Lead Capture
Multi-Platform Distribution
ROI Tracking

Categories and Features

Automated Checkout

Not specified

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