Vody develops proprietary generative AI solutions that utilize multimodal large language models to enhance product discoverability and personalize customer experiences in retail and restaurants. By generating tailored product descriptions and recommendations, Vody addresses the challenge of high shopping cart abandonment rates, leading to measurable increases in conversion rates and customer engagement.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Online retailers face challenges in converting website visitors into paying customers due to high shopping cart abandonment rates and ineffective product discoverability. Generic product descriptions and a lack of personalized recommendations contribute to a disconnect between products and customer needs.
Solution
Vody offers generative AI solutions that leverage multimodal large language models (MLLMs) to improve product discoverability and personalize the customer experience for online retailers. By fine-tuning open-source vision language models with proprietary retail datasets, Vody generates customer-centric product data, including tailored descriptions and recommendations. The platform uses multimodal similarity matching to understand visual, textual, and behavioral data, enabling precise product recommendations. Vody's solutions aim to bridge the gap between products and customers, leading to increased conversion rates and customer engagement.
Target Audience
Vody's primary customers are online retailers in the beauty, fashion, and home goods sectors seeking to improve product discoverability, personalize customer experiences, and increase conversion rates.
Features
- Generates comprehensive product data to enhance searchability, SEO, and marketing efforts.
- Provides personalized product titles and descriptions informed by customer preferences and trends.
- Utilizes multimodal similarity matching to deliver precise product recommendations based on visual, textual, and behavioral data.
- Integrates with existing retail platforms and cloud services, including AWS, Google Cloud, and Microsoft Azure.
- Scales to handle over one billion attribute labels.
- Ensures GDPR compliance and ISO 27001 certification standards to protect customer data.