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Lily.ai

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"Enhances search precision and product discovery efficiently."

This solution enhances product search and discovery by translating complex product details into consumer-friendly language. It utilizes AI to better understand and label products, optimizing search results and recommendations. By aligning product descriptions with trend insights, it boosts engagement on e-commerce platforms, driving sales and improving customer experience. This is particularly useful for fashion and beauty retailers, helping them leverage relevant trends and styles seamlessly.
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Lily.ai's Website Claims...
Our AI found these claims on Lily.ai's website.
Language Alignment
LilyAI claims that their AI can speak the language of customers to improve product discovery and boost sales by up to 25%.
Trend Recognition
LilyAI claims their AI can operationalize trends to align products with what's topical and capitalize on fashion, home, and beauty trends.
Search Optimization
LilyAI claims their AI can turbocharge site search by enriching product attributes with the language shoppers use to help them find the right product every time.
BlurbSTAR Case Study
ThredUP & Lily AI
Enhanced tagging boosts ThredUP sales by 15 percent.
15%
Sell-through rate increase
2.8%
Conversion rate lift on iOS
1.
Situation
Complex Inventory Management Challenges
→
100,000 new items daily added.
→
Over 50,000 brands in inventory.
→
Need for precise product tagging.
ThredUP, a fashion resale platform, faced the challenge of managing a vast and diverse inventory. With over 100,000 new items arriving daily, categorizing and tagging products was a substantial task. The array of more than 50,000 brands and thousands of categories, each with multiple attributes, required precise tagging for effective buyer navigation. This significantly impacted operational efficiency and customer satisfaction.
2.
Task
Enhance Tagging Effectiveness and Efficiency
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Improve customer navigation and search.
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Reduce manual tagging workload.
→
Integrate efficient AI tagging solutions.
ThredUP needed to improve its tagging system for better customer search and navigation. The existing manual process was time-consuming and required rigorous quality assurance. The business aim was to develop a solution that could efficiently categorize diverse product styles and improve the browsing experience, without detracting from the company's core focus on unique technological advancements.
3.
Action
AI-Powered Tagging Implementation
→
Implemented Lily AI’s tagging solution.
→
Pilot in women’s tops category.
→
Expanded to all product categories.
ThredUP partnered with Lily AI to implement AI-powered deep tagging solutions. Initiating with a pilot program for women’s tops, Lily AI's technology demonstrated improved tagging accuracy and reliability. The positive outcomes of the trial, featuring a sell-through lift of 4 to 15 percent, prompted ThredUP to deploy Lily AI's system across all product categories, enhancing the volume and quality of searchable attributes.
4.
Result
Significant Sales and Efficiency Gains
→
15% sell-through rate increase.
→
Improved efficiency in tagging process.
→
Significant lift in conversion rates.
Utilizing Lily AI's deep tagging led to a remarkable 15% increase in sell-through rates. There was a 2%+ lift in conversion rates for repeat customers and a 2.8% lift on iOS. The operational efficiency improved considerably, reducing the training and quality assurance demands on thredUP associates. This streamlined process allowed faster product availability and better customer-centric recommendations, therefore enhancing overall customer satisfaction and ThredUP's profitability.
Keywords
THREDUP
LILY AI
SELL-THROUGH INCREASE
PRODUCT TAGGING
CONVERSION RATE LIFT
AI IN FASHION E-COMMERCE
CUSTOMER BEHAVIOR INSIGHTS
The Blurbs FAQs
Lily.ai hasn't answered their category questions yet.
1.
What types of product data enrichment do you offer (AI-driven tagging, attribute extraction, SEO-friendly descriptions, etc.)?
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2.
How does your platform integrate with our existing eCommerce system (Shopify, Magento, Salesforce Commerce Cloud, etc.)?
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3.
Do you support automated AI-driven product tagging and attribute generation?
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4.
Can your platform enhance product descriptions for SEO and conversion optimization?
Lily.ai has not completed their Blurbs FAQs
5.
Do you support industry-specific enrichment (e.g., fashion, beauty, electronics, home goods)?
Lily.ai has not completed their Blurbs FAQs
6.
How does your platform improve on-site search and product discovery?
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7.
What analytics and reporting do you provide to measure the impact of enriched catalog data?
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8.
Do you offer multi-language support for international catalog expansion?
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9.
Do you provide AI-powered image recognition to tag products automatically?
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10.
How does your platform handle bulk product uploads and ongoing catalog updates?
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Lily.ai
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