Execuative Summary

J.Crew’s commitment to ensure positive consumer interactions across all their online retail selling channels reflect the rise of AI databases across retail. In 2023, 33% of companies have AI databases fully implemented on their e-commerce channels. The past few years, J.Crew has been in partnership with AI database company, Lily AI, to better optimize consumer personalization in product recommendations.

Through on going efforts, J.Crew has revamped their systems by incorporating specific product attributes, that help widen search for customers. Additionally, they have implementing image references that capture product attributes without being in the product name. By leveraging Lily AI, J.Crew is allowing consumers to engage with their retail selling channels in the way consumers intend to.

With their developments, J.Crew has been able to offer consumers product recommendations based off of consumers filtered searches; however, the recommendations have become extremely generalized.

J.Crew will focus on consumer interactions by utilizing another AI database that gathers logistics to better personalize consumer experiences.

To achieve this, the brand plans to gather consumer data based off purchase history in size, color, fabric, price, and style to better recommend products in the beginning of their shopper experience. This will be accomplished by introducing J.Crew For You, a personal shopping page curated for consumers based off gathered data.

Brand Introduction

Founded in 1947, J.Crew has established themselves as a leading global brand. They cater towards modern classics with a timeless character, and ensure the integrity of their clothes with exceptional quality.

Current Strategies


J.Crew’s current AI database partnership that has helped the companies consumer interactions. The database has broaden filtered searches and offers recommendations to consumers based off of their filtered searches.

LILY AI

Mobile E-Commerce:

In 2023, J.Crew launched their first mobile app. The app offers consumers a quick checkout, recommendations based off of searches, and exclusive access to collection launches.

Live Chat:

At the bottom of e-commerce website offers a “Live Chat” selection where consumers can place order information to receive assistance on their inquiry. However you are only allowed to use it if you placed an order.

Social Commerce:

Offers social media advertisements that direct you to purchasing on the social media platform such as Instagram and Facebook.

Lily AI also gathers the product attributes to broaden consumers filtered searches. This implementation has steered consumers to have a larger selection of products to find their need.

Lily AI database is geared towards collecting product attributes. From consumer browsing and filtered searches, J.Crew will gather these product attributes to recommend products to consumers.

RESEARCH

STRATEGIC OBJECTIVE

With “JCrew For You”, our goal is to create a personalized shopping wardrobe page for consumers that enhances consumers interactions across all of JCrew’s online retail selling channels.

  1. Design a personal shopping experience by curating a recommendation wardrobe based off of consumer history, preferences, and measurements.

  2. Increase consumer interaction on online retail selling channels by offering customizable adjustments to perfect page personalization to enhance on-site interactions.

  3. Integrate new AI database into online retail selling channels. that specializes in personalization to work alongside existing AI database to optimize all personalization tools.

Key Performance Indicators:

AI E-COMMERCE INITIATIVE

JCrew For You” is launching as a categorized page across all retail selling channels. It will be promoted through advertisements on JCrew’s retail selling channel homepages and interactive campaigns that showcase the personalized wardrobes features.

Once the paged is accessed a brief description welcomes you on the page explaining what the page is about and the features designed for you. An array of clothes based off of your data in personal styles, sizes, colors, and material will show.

Also, on the page a personal shopping assistant is featured to help and change preferences you wish to see on the page.

TECHNOLOGY INTRODUCTION

Dressipi AI database is a fashion focused retail AI database with unique machine learning solutions that is fed by company data. Dressipi will be the best solution to integrate with JCrew’s current database Lily AI to work on “JCrew For You”

“JCrew For You” x Lily AI x Dressipi

The service Dressipi created in personalization is designed to effortlessly combined with tools and software JCrew already has. The Product Recommendation tool specializes in gathering data from consumers purchase history to develop personalized recommendations in size, color, material, and style.

Dressipi innovative database can work alongside Lily AI’s services in product attributes to maximize consumer interactions on the “JCrew For You” shopping page.

Development and Launch

Future Growth of “JCrew For You”

AI technology and consumer personalization are combined in JCrew For You, aiming to optimize consumer interactions across retail selling channels. This innovative strategy is taking advantage of personalized AI databases for retail that will engage consumers. Today technological advancements require brands to reach customers in different ways that is cohesive to their brand. JCrew’s use of their current AI database, Lily AI, and integration of Dressipi AI pioneers a unique customer experience online. This innovative initiative opens up exciting chances of partnerships for JCrew For You. This advancement will lead to reshaping the narrative about how to execute it strongly execute positive consumer interactions on retail selling channels.

JCrew’s creative use of integrating two strong retail AI databases into one, leads consumers into a personalized wardrobe that is accustomed to the desires of their consumers. This strategy increases consumer engagement across their retail selling channels as customers have the opportunity to explore and adjust their personal shopping page with their chat-box assistant. This seamless blend of technology and user transparency is placing JCrew in the direction of optimizing their consumer interactions.

JCrew’s strategic initiative with “JCrew For You” optimizes consumers desires of a more personalized shopping experience that increases positive consumer interactions across their retail selling channels. Technological advancements have changed how consumer’s are shopping today, by pushing brands to create more personable experiences that replicate a physical storefront. AI databases have helped retailers improve their system functions by seamlessly integrating databases that improve consumer experiences.

J.Crew is achieving this desire by combing their current AI system, Lily AI, with fashion focused AI database, Dressipi. Lily AI’s function of gathering multiple different product attributes, and Dressipi’s function of gathering consumers purchase history for personalized recommendations will optimize positive consumer interactions across J.Crews online selling channels. The features of the personalized wardrobe will allow consumers be in control of what they wish to see on their personalized page leading to a higher session duration by 20%. The personal appeal of “J.Crew For You” conversion rates on our selling channels will increase by 25%. By implementing strong AI databases in our systems, JCrew is able to further connections with their consumers and be ahead of their competitors in the online retail space. Overall, our business initiative aims to improve consumers interactions that will essentially lead to greater succession at J.Crew.

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