About Jewel ML

This platform provides personalized product recommendations and inventory management for e-commerce businesses using AI and visual image recognition. By analyzing user behavior and purchase history, the platform optimizes inventory levels and suggests relevant up-sell and cross-selling opportunities to increase sales.

```xml <problem> E-commerce businesses often struggle to provide personalized shopping experiences due to incomplete product catalogs and an inability to accurately predict customer preferences, leading to low conversion rates and abandoned carts. Generic product recommendations fail to engage customers, resulting in missed upselling and cross-selling opportunities. </problem> <solution> Jewel ML offers an AI-powered personalization platform that analyzes user behavior, purchase history, and product attributes to deliver tailored product recommendations. The platform utilizes natural language processing, large language models, and visual image recognition to understand item details, even with inaccurate or incomplete catalog information. By identifying the right products for each customer at the optimal price point, Jewel ML increases revenue, reduces cart abandonment, and enhances user engagement. The no-code solution integrates seamlessly with existing e-commerce platforms, providing a risk-free implementation with a dedicated support team. </solution> <features> - AI-driven product recommendations using NLP, LLMs, visual image recognition, and user behavior analysis - Automated carousels for upselling and cross-selling, including "Frequently Bought Together" and "Complete the Look" - Real-time inventory updates to prevent recommendations of out-of-stock items - No-code integration with major e-commerce platforms via APIs or tags - Customizable dashboard with e-commerce metrics to monitor revenue impact and carousel performance - A/B testing to measure the effectiveness of AI-driven recommendations - Support for over 70 languages and a global server network for localized precision - Compatibility with iOS and Android native apps through React Native components and API - Option to boost or hide specific products based on campaigns or inventory levels - Zero Personally Identifiable Information (PII) data collection for GDPR compliance </features> <target_audience> Jewel ML targets e-commerce businesses across various industries, including fashion, footwear, sports, online supermarkets, pharmacies, home & living, electronics, and toys & collectibles, seeking to enhance personalization and increase revenue. </target_audience> <revenue_model> Jewel ML offers flat pricing with a minimum 600% ROI, scientifically proven through A/B testing to deliver up to 2000% ROI. Clients can start with a free 30-day A/B test to evaluate the solution's impact before making any payment. </revenue_model> ```

What does Jewel ML do?

Where is Jewel ML located?

Jewel ML is based in City of New York, United States.

When was Jewel ML founded?

Jewel ML was founded in 2018.

Location

City of New York, United States

Founded

2018

Employees

24 employees

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Jewel ML

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Executive Summary

jewelml.com 5K+

Founded 2018 – City of New York, United States

Funding

No funding information available.

Team (20+)

No team information available.

Company Description

Problem

E-commerce businesses often struggle to provide personalized shopping experiences due to incomplete product catalogs and an inability to accurately predict customer preferences, leading to low conversion rates and abandoned carts. Generic product recommendations fail to engage customers, resulting in missed upselling and cross-selling opportunities.

Solution

Jewel ML offers an AI-powered personalization platform that analyzes user behavior, purchase history, and product attributes to deliver tailored product recommendations. The platform utilizes natural language processing, large language models, and visual image recognition to understand item details, even with inaccurate or incomplete catalog information. By identifying the right products for each customer at the optimal price point, Jewel ML increases revenue, reduces cart abandonment, and enhances user engagement. The no-code solution integrates seamlessly with existing e-commerce platforms, providing a risk-free implementation with a dedicated support team.

Features

AI-driven product recommendations using NLP, LLMs, visual image recognition, and user behavior analysis

Automated carousels for upselling and cross-selling, including "Frequently Bought Together" and "Complete the Look"

Real-time inventory updates to prevent recommendations of out-of-stock items

No-code integration with major e-commerce platforms via APIs or tags

Customizable dashboard with e-commerce metrics to monitor revenue impact and carousel performance

A/B testing to measure the effectiveness of AI-driven recommendations

Support for over 70 languages and a global server network for localized precision

Compatibility with iOS and Android native apps through React Native components and API

Option to boost or hide specific products based on campaigns or inventory levels

Zero Personally Identifiable Information (PII) data collection for GDPR compliance

Target Audience

Jewel ML targets e-commerce businesses across various industries, including fashion, footwear, sports, online supermarkets, pharmacies, home & living, electronics, and toys & collectibles, seeking to enhance personalization and increase revenue.

Revenue Model

Jewel ML offers flat pricing with a minimum 600% ROI, scientifically proven through A/B testing to deliver up to 2000% ROI. Clients can start with a free 30-day A/B test to evaluate the solution's impact before making any payment.