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lily.ai

Lily.ai

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"Optimizes product discoverability using enriched attributes"

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Nutshell

Lily AI helps marketers by transforming product details into customer-friendly language. This enhances search and discovery across channels, aligning product descriptions with consumer search behavior. They harness AI and a unique dataset to better match products with customer intents, improving organic traffic and ad performance.

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Lily.ai's Website Claims...
A summary of the claims made on Lily.ai's website as noticed by our bot, Vinny.
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.
Case Studies
Enhanced tagging boosts ThredUP sales by 15 percent.
The most accurate case study for Lily.ai
15%
Sell-through rate increase
2.8%
Conversion rate lift on iOS
Situation
Complex Inventory Management Challenges
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100,000 new items daily added.
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Over 50,000 brands in inventory.
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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.
Task
Enhance Tagging Effectiveness and Efficiency
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Improve customer navigation and search.
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Reduce manual tagging workload.
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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.
Action
AI-Powered Tagging Implementation
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Implemented Lily AI’s tagging solution.
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Pilot in women’s tops category.
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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.
Result
Significant Sales and Efficiency Gains
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15% sell-through rate increase.
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Improved efficiency in tagging process.
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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
Product Catalog & Data Feeds Q & A
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Lily.ai
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