Lily AI Blog

Using enhanced product attribution data across your ecommerce store improves not only customer experience but also your bottom line as a retailer. Here are 7 ways to use granular data in your online retail store.

If there’s one thing COVID has taught us, it’s that the digital user experience can’t be an afterthought anymore. Learn why it's a must for fashion retailers, and why few retailers are doing e-commerce well — and fewer still are doing it well enough.

Looking for a search engine marketing solution that plays to your strengths? Learn how deep, rich, granular product data can help you fine-tune your SEM strategy and maximize your advertising budget, no matter what your product line or target demographic.

As e-commerce grows, particularly in fashion, it's crucial for brands to learn ways for turning browsers into buyers to generate new business and keep revenue flowing.

Excellence in any field is hard to achieve, but learning from the best is a time-honored strategy for getting better. That’s why aspiring athletes pay for the privilege of training with Olympic medalists or all-star professionals, and top salespeople constantly attend seminars given by high-performing peers.

Social commerce is on the rise, enabling shoppers to discover products and make more purchases from the palm of their hand. As BigCommerce reports, 30% of online shoppers rate themselves likely to purchase from a social media network like Instagram, Twitter, Facebook, Pinterest or Snapchat.

Personalization in the retail experience was traditionally driven by sales associates, who — if they were good — could make educated guesses about a customer’s preferences and make memorable connections that resulted in return shoppers. E-commerce retailers (and tech companies in general) address personalization by attaching purchase history and other metrics and demographics to every user account, which over time yields rich sets of individualized data.

Consider two shoppers. The first goes to your website and types "shirt" into the search bar, the second types "sequin party shirt". Can you deliver an intuitive digital experience to both of those shoppers? For many retailers, the answer is no.

E-commerce has seen huge shifts in how shoppers discover products, especially with the rise of trends like social shopping. This has led many e-commerce brands to ask if site search still matters. However, the data has proved again and again that site search is important — especially in 2021. Many brands that were predominantly focused on their brick-and-mortar stores pre-pandemic have been forced to move online. DataFeed Watch reports that shoppers spent $211.5 billion on e-commerce in the second quarter, up 31.8% from the previous quarter.

The relentless rise of omnichannel retail continues to reshape consumer behavior in fashion and e-commerce as a whole. Currently, 33% of retail sales in the United States are through e-commerce, with even more customers lured online since the pandemic. Not all companies are equipped to handle the influx, however. Retailers need to invest in new skills, new technology and new processes to compete. This also requires a bolder approach to personalization and product data. With the incumbent strategy falling short of consumer needs, here’s what retailers must do to respond to online consumer behavior in 2021.

Granular product data is a priceless resource for helping online fashion retailers improve their demand forecasting and inventory planning. Find out how detailed product attributes can boost sales and optimize inventory planning.

Search functionality on the website is absolutely fundamental to e-commerce vendors, but is it on your list of priorities for 2021? Learn why it should be, why even the biggest brands in the business struggle to get it right, and how you can improve your search results almost immediately.

Simple product attributes can fuel basic searches and populate a landing page, but they provide a shaky foundation for a personalized digital experience. Learn how creating better and deeper product attributes can create richer data sets and empower your brand to connect emotionally with more customers.

The quality and efficiency of your on-site search is one of the cornerstones of product discovery. Following our 6-step checklist will help you improve your e-commerce site search and make for happier shoppers.

The most effective marketing strategies don’t just focus on a great product or a clearly defined customer—they synthesize product intelligence and customer intelligence to create a personalized experience for every consumer. Here’s how Lily AI can help you get the most from your marketing.

E-commerce retailers use fashion tagging to help their search engines deliver more accurate results to customers. See how Lily AI’s deep tagging and AI algorithms lead to better results.

The majority of modern consumers are Millennials, which means the majority of your marketing strategy should cater to their specific needs. Here’s how Lily AI uses Millennial consumer behavior to give your brand a boost and help you reach your most important customers.

The combination of demographics and psychographics in marketing leads to more relevant, contextual search results for a hyper-personalized experience online. Learn how Lily AI can deliver an experience akin to what customers might experience at upscale brick-and-mortar retail stores.

How can online retailers bring experiential shopping to the digital realm? Creative thinking and the right tech can help.

Like it or not, consumer behavior trends have shifted. Take a look at how both the pandemic and technology is driving users to embrace the online retail experience.

Personalization is currently the “flavor of the month” in e-commerce marketing, but it’s not easy to get right. Learn how to look beyond product discovery, and leverage your existing website to create psychologically sound, individualized shopping experiences for every single customer.

What is your retail strategy for 2021? Disruptions are likely to continue for most of the year, and sales are projected to rebound slowly. Learn what strategies other retailers are following, and how canny investment in new technology can help you survive and thrive in the new operating environment

Traditional retail experiences have often failed to put the customers at their brand’s center. Lily AI’s CEO discusses her personal experience with this and why she decided to create something different.

Lily AI’s new VP of Product, Byron Jones, discusses what sets Lily AI apart in the quest for true personalization of the e-commerce experience. Read on to learn about the tech that creates impactful opportunities for online retailers.

Meaningful consumer profiles help e-commerce retailers build brand loyalty with their customers. Find out how Lily AI leverages deep data for true personalization and better consumer insights.

Inadequate data taxonomy adversely impacts the customer experience and sales of e-commerce brands. So what is inadequate data taxonomy, and how can improving it be a game-changer?

The COVID crisis accelerated the existing transition from brick-and-mortar retail to online and hybrid options. Learn how AI can help you give your customers the kind of online shopping experience they dream of, with hyper-personalized suggestions.

How granular can psychographic segmentation get? Very – with the right tools. It offers a competitive advantage for e-commerce brands. Learn how it works.

E-commerce trends are a dime a dozen, but what’s most important? Smart online clothing retailers are following these retail industry trends for success.

Psychographic profiles can help personalize product recommendations, optimize on-site search results, and create tailored email marketing campaigns. Learn more about psychographics in marketing and putting it to use.

Brands have been using AI in retail and e-commerce for years. Discover how AI and machine learning continue to be a big trend, helping brands enhance their shopping experience.

Does your online shopping experience deliver hyper personalization? Read on to discover four ways your e-commerce site may be missing the mark on true hyper personalization.

Would you have imagined a fashion industry without stores in the future. While some stores may survive, digital innovation is the mandate for any retailer with a path to the future.

Retailers can act now to lessen the impact of the coronavirus' economic challenges now that will also have lasting positive benefits.

‍We just raised $12.5 million in our A round led by Canaan with support from existing investors NEA, Fernbrook Management and Unshackled Ventures. Here’s the story and why we are excited.

Our CEO Purva Gupta will be speaking on Sunday January 12 at 1:30 about the Age of AI: Women shaping the future of retail. Don't miss it!

Our CEO Purva Gupta participated in a panel at Fortune's Most Powerful Women: Next Gen Summit, where she talked about the challenges of being an immigrant founder. Lucky for us, she is here in the U.S. to stay.

Our own CTO Sowmiya Chocka Narayanan wrote this insightful deep dive on the complexity of engineering AI for retail personalization for TechCrunch's Extra Crunch. Read more about her approach here.

Lily AI is using computer vision and artificial intelligence to identify the attributes of every SKU in a retailer's portfolio.