Blog
Blog, page 6 of 7
Playbooks, product updates, and points of view on growing retail revenue with AI.
TakesHow to Capitalize on Shoppers’ Search Diversity
Every consumer has their own long-tail way to describe what they are looking for, yet this search diversity is barely acknowledged on a high percentage of e-commerce retail sites.
ProductBuild a Better Brand Initiative with Lily AI’s Taxonomy
Getting the right items out at the right time is a tricky art to master in retail. Lily AI's customizable taxonomy evolves to align with your brand initiatives, right on schedule.
GuidesThrift the Look with Lily AI’s Fashion Product Attribution
Online thrift shopping keeps growing, so for National Thrift Shop Day we’re sharing our top tips for making the most of resale in retail.
TakesProduct Discovery in the Influencer Age: How to Capitalize on Social Media Fads
Influencer culture puts a heavy focus on Gen Z, whose buying power tops $140 billion. To capitalize on fast-moving social media fads, retailers must strengthen product discovery.
TakesThe Connection Between Fashion Merchandising and Product Attribution Data
From the start of the runway to the finale on the shelf or search bar, fashion merchandising is a complex, interwoven system. Better item set-up with customer-centric AI helps.
TakesThe Importance of Empathy in Fashion Product Attribution
Shopping for a new outfit has not always been an experience that drives empathy. Finding an item that actually makes a shopper feel good can make all the difference.
ProductEffective Product Attribution Q&A with Lily AI’s Sean Gouldson
Lily AI Head of Presales Sean Gouldson on the nuts and bolts of product attribution: how it is applied at item set-up, what data retailers need to provide, and how tags evolve.
GuidesThe Top 3 Tips for Transforming Product Discovery
Even with all the right products, you have a very real problem if shoppers can’t locate them. Our top three tips for transforming online product discovery.
TakesRevolutionizing Retail with AI and Product Attribution Data
Retail’s transformation to digital is a revolution worth talking about. Here is how the industry has changed, particularly with the help of AI and product attribution data.
VideoAfternoon Tea with SMEs: Moving at the Speed of AI to Win in Google Search
Our experts James Beauchamp and Abhijit Shome discuss how retailers and brands should navigate the next eras of product discovery, Google Search and beyond.
TakesFashion Product Attribution and the Top 3 Style Trends for Summer 2022
New season, new style trends. Lily AI's in-house team of domain experts share their takeaways on three core women's apparel style trends for summer 2022.
TakesBringing AI Science to the Art of Merchandising with Product Attribution Data
Merchandising is both an art and a science, and there’s nothing to fear from the fusion of the two: together they help retailers boost revenue and move inventory faster.
Guides6 Steps to E-Commerce Site Search That Converts
When shoppers type a specific term into a retailer’s search bar, they too often meet irrelevant or blank results. This guide covers the challenges and six steps to better on-site search.
ProductHow to Connect Shoppers to What They Want and Need with Customer-Centric Product Recommendations
The right, relevant product recommendations are evergreen. Connecting shoppers to what they actually want and need, this month and every month after, is worth the extra effort.
GuidesThe Top 6 Tips for Improving Site Search
Search is where modern retail e-commerce begins. A look at the most common on-site search challenges, and a preview of our top six tips for overcoming them.
ProductBoost Your Beauty Product Attribution: Part 1
Today’s beauty consumer knows exactly what they want. Part one of two on how Lily AI boosts site search, personalization potential, and SEO/SEM for beauty brands.
TakesIt’s Not Product Attribution Data OR Search – It’s Both
Search is central to e-commerce, but swapping search vendors solves only half the problem. Without a robust product attribution taxonomy, it’s a costly cart with no horse.
TakesThe Cascading Challenge of Legacy, Out-of-the-Box Product Attributes
“It’s the way we’ve always done it” is commerce’s most common excuse. Legacy, out-of-the-box product attributes start a cascading series of problems at item set-up.
TakesTrend Identification: How Does it Build Customer Confidence?
Lily AI's domain experts understand trend cycles and where to find the latest directions in fashion, home, and beauty. Here's what trend identification is and the role it plays.
TakesHigh-Conversion Shoppers Deserve a Seamless Search Experience
Type a typical, specific search term into your favorite fashion site's search bar and you are met with a surprising amount of resistance. High-conversion shoppers deserve better.
CompanyCustomer Success at its Best: A Q&A with Lily AI’s Catherine O’Keefe
A Q&A with Senior Customer Success Manager Catherine O’Keefe on how Lily AI nurtures client relationships through the full lifecycle of its platform and services.
TakesProduct Attribution for Beauty Brands: A Q&A with Lily AI’s Joyce Lay
Joyce Lay, Lead Merchandise Analyst at Lily AI, on how beauty products differ from apparel and the challenges beauty brands face turning shopper intent into purchases.
GuidesThe Step-By-Step Guide to Using Enhanced Product Attribution Data
Retailers have underinvested in a critical area: their own product data. This guide covers seven ways to elevate the customer experience with AI-powered product attribution.
CompanyHuman-Powered Product Taxonomies: An Interview with Lily AI’s Kathy Lee
Lily AI’s Kathy Lee on why product discovery became retail’s battleground, how our in-house styling team builds category taxonomies, and how stylists work with automation.