The Golden Age of AI: Unlocking Video Understanding for Ecommerce

Understanding video has presented a massive challenge for brands and their customers - until now. The golden age of AI has made the task of understanding video content possible, thanks to significant advances in computing power and software.

In the world of Ecommerce, shopping experiences begin with product discovery and search. Today, AI-driven in-video search makes it possible to offer a video-driven product discovery and search experience on websites, ecommerce platforms, and mobile apps. This enables deeper site engagement, faster purchase decisions, and more effective product discovery through video.

Vyrill has been a pioneer in video search, building its own AI algorithms to analyze audio, text, images, and transcriptions across 15+ dimensions. This allows Vyrill's AI to rate, rank, and index video content for sentiment, topics, demographics, keyword relevance, brand safety (nudity, profanity, minors), product safety, scenes, objects, and more. Vyrill has developed over 8 proprietary models using custom training data, complemented by other state-of-the-art models.

Vyrill's AI is multi-modal, multilingual, and optimized for speed, cost, and accuracy to provide the best video-led Ecommerce experience for shoppers. Behind the scenes, Vyrill has built a video recommendation engine to boost basket size, drive accessory purchases, and encourage bundled purchases.

Recent advancements in large language models (LLMs) have enabled Vyrill to launch "Ask Vyrill" - a co-pilot for users. This allows our customers to quickly make sense of massive amounts of video data, answering questions like "What features of the product do my customers love?" or “What are shoppers saying about my competitors?”

Vyrill is focused on delivering the best AI experience, guided by core values of accuracy, unbiased outputs, privacy protection, security, customization, and respect for human-generated content:

• Accuracy: Continuously improving model accuracy with high-quality data and addressing missing data to reduce bias.

• Bias: Monitoring for bias in both human and machine outputs, enabling customer audits and corrections.

• Privacy: Building on the fundamentals of data privacy protection, GDPR compliance, and source tracking.

• Human-Generated Content: Developing tools to ensure video content is authentically human, not AI-generated.

• Customization: Enabling enterprises to fine-tune Vyrill's models to their specific needs without starting from scratch.

• Security: Implementing robust data protection systems to monitor and prevent unauthorized access or theft.

Vyrill's AI powers 6 key elements of Ecommerce:

1. Search: Making product videos easily discoverable to speed up shopping decisions.

2. Personalization: Tailoring product recommendations, offers, landing pages, and filters based on video content.

3. Recommendations: Suggesting relevant video content based on context, product attributes, engagement metrics, user-product relationships, and browsing/purchase history.

4. SEO: Improving brand video SEO by leveraging video transcripts, summaries, and in-video insights.

5. CTAs: Driving conversions with CTA buttons embedded into videos (“Add to Cart” and “Buy Now”) by surfacing the most engaging video content in the shopper's product journey.

6. Insights: Tracking, measuring, and delivering insights to inform content marketing, SEO, and product development strategies.

In summary, Vyrill is committed to leveraging AI responsibly, guided by best practices, high-quality data, and the responsible integration of human and AI-generated content. The golden age of AI has arrived, and Vyrill is at the forefront of unlocking the power of video understanding for Ecommerce.