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.
These are public claims Blurbs AI believes to have been made by Lily.ai.
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.
ECOMMERCE PRODUCT DISCOVERY
AUTOMATED CONTENT GENERATION
GOOGLE MERCHANT OPTIMIZATION
ENHANCED SITE SEARCH
PERSONALIZED RECOMMENDATIONS
DEMAND FORECASTING ANALYTICS
PRODUCT DATA ENRICHMENT
PRODUCT ATTRIBUTE OPTIMIZATION
CUSTOMER CENTRIC SHOPPING EXPERIENCE
GOOGLE SEARCH INTEGRATION
PRODUCT ATTRIBUTION
AI ENRICHED PRODUCT ATTRIBUTES
SITE SEARCH ENHANCEMENT
PRODUCT RECOMMENDATIONS
RETAIL MEDIA ANALYTICS
DATA NORMALIZATION FOR MARKETPLACES
AI TREND ANALYSIS
SALESFORCE INTEGRATION
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
This profile remains unclaimed. Blurbs can only offer a partial, unverified case
study.
1.
Situation
Complex Inventory Management Challenges
→
100,000 new items daily added.
→
Over 50,000 brands in inventory.
→
Need for precise product tagging.
ThredUP, afashion resale platform, faced the challenge of managing avast and diverse inventory. With over 100,000 new items arriving daily, categorizing and tagging products was asubstantial 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
→
Improve customer navigation and search.
→
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 asolution 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 apilot program for women’s tops, Lily AI's technology demonstrated improved tagging accuracy and reliability. The positive outcomes of the trial, featuring asell-through lift of 4to 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 aremarkable 15% increase in sell-through rates. There was a2%+ lift in conversion rates for repeat customers and a2.8% 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 20
20 Frequently Asked Questions
Are they VC funded?
The text does not provide information about their funding source.
Do they do retargeting?
The text does not mention retargeting as one of their services.
Are they CCPA-compliant?
The text does not provide information about CCPA compliance.
Do they do marketing automation?
They offer services like Google Search optimization and automating copy for product titles and descriptions which are part of marketing automation.
Do they have fortune 500 clients?
The text does not provide information about their client base.
Do they help optimize marketing mix?
The text does not mention about optimization of marketing mix.
Have they existed more than 5 years?
The text does not provide information about their existence.
Do they prove effectiveness with data?
They use data analytics to identify the most profitable SKUs which shows they use data to prove effectiveness.
Do they help acquire and retain customers?
Their services like search optimization and personalized recommendations may help businesses acquire and retain customers.
Are they a content personalization solution?
They offer services like content generation and personalized recommendations which are part of content personalization.
Do they specifically offer email and SMS marketing services?
The text does not mention offering email and SMS marketing services.
Are they a CDP that segments and acts on customer data and behavior?
The text does not provide information about them being a CDP.
Lily.ai has not completed The Blurbs 20 Questions.
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