Contact — Faculty Studio

Background

Neiman Marcus, a luxury fashion retailer, sought to improve its mobile e-commerce platform to provide a seamless and personalized shopping experience for its customers. Despite having a robust online presence, the existing mobile app struggled with user engagement and conversion. To address these challenges, Neiman Marcus partnered with BloomReach to leverage its big data-driven e-commerce tools, aiming to build a mobile experience that aligned with the brand’s premium positioning while driving user engagement and conversions.

Background

Neiman Marcus, a luxury fashion retailer, sought to improve its mobile e-commerce platform to provide a seamless and personalized shopping experience for its customers. Despite having a robust online presence, the existing mobile app struggled with user engagement and conversion. To address these challenges, Neiman Marcus partnered with BloomReach to leverage its big data-driven e-commerce tools, aiming to build a mobile experience that aligned with the brand’s premium positioning while driving user engagement and conversions.

Background

Neiman Marcus, a luxury fashion retailer, sought to improve its mobile e-commerce platform to provide a seamless and personalized shopping experience for its customers. Despite having a robust online presence, the existing mobile app struggled with user engagement and conversion. To address these challenges, Neiman Marcus partnered with BloomReach to leverage its big data-driven e-commerce tools, aiming to build a mobile experience that aligned with the brand’s premium positioning while driving user engagement and conversions.

Complex Search Functionality

Users found the existing app navigation cumbersome, particularly when searching for specific luxury products or filtering by designer.

Checkout Abandonment

A notable number of users abandoned their carts during the checkout process, suggesting issues with the flow and user confidence in the process.

Lack of Personalization

The app lacked personalized features, resulting in users seeing generic products and offers, which did not align with the expectations of a luxury shopper seeking a tailored experience.

Complex Search Functionality

Users found the existing app navigation cumbersome, particularly when searching for specific luxury products or filtering by designer.

Checkout Abandonment

A notable number of users abandoned their carts during the checkout process, suggesting issues with the flow and user confidence in the process.

Lack of Personalization

The app lacked personalized features, resulting in users seeing generic products and offers, which did not align with the expectations of a luxury shopper seeking a tailored experience.

Complex Search Functionality

Users found the existing app navigation cumbersome, particularly when searching for specific luxury products or filtering by designer.

Checkout Abandonment

A notable number of users abandoned their carts during the checkout process, suggesting issues with the flow and user confidence in the process.

Lack of Personalization

The app lacked personalized features, resulting in users seeing generic products and offers, which did not align with the expectations of a luxury shopper seeking a tailored experience.

Predictive Search

A demonstration of the predictive search functionality in action. By typing just a few letters, users receive instant suggestions filtered by category, product or brand — all based off of BloomReach’s back-end

Predictive Search

A demonstration of the predictive search functionality in action. By typing just a few letters, users receive instant suggestions filtered by category, product or brand — all based off of BloomReach’s back-end

Predictive Search

A demonstration of the predictive search functionality in action. By typing just a few letters, users receive instant suggestions filtered by category, product or brand — all based off of BloomReach’s back-end

More Like This

A personalization implementation and feature called, “More Like This.” Users interested in a particular item are shown similar products, improving product discovery and increasing the likelihood of purchase. This included displaying tailored product recommendations based on user behavior and preferences, as well as personalized content on the homepage and product pages.

A presentation of various UI options for the "More Like This" feature.

UI screen for the redesigned checkout page. The interface is clean, with clear calls-to-action (such as “Checkout” and “Keep Shopping”). Users also have the option to review their shopping bag and see personalized favorite items.

(Top) Color palette and brand consistency used throughout the app. (Bottom) Custom icons used throughout the app. These icons were designed to align with the Neiman Marcus brand, providing a luxurious yet functional interface.

UI screen for the redesigned checkout page. The interface is clean, with clear calls-to-action (such as “Checkout” and “Keep Shopping”). Users also have the option to review their shopping bag and see personalized favorite items.

(Top) Color palette and brand consistency used throughout the app. (Bottom) Custom icons used throughout the app. These icons were designed to align with the Neiman Marcus brand, providing a luxurious yet functional interface.

UI screen for the redesigned checkout page. The interface is clean, with clear calls-to-action (such as “Checkout” and “Keep Shopping”). Users also have the option to review their shopping bag and see personalized favorite items.

(Top) Color palette and brand consistency used throughout the app. (Bottom) Custom icons used throughout the app. These icons were designed to align with the Neiman Marcus brand, providing a luxurious yet functional interface.

Find in Store

An easier way for the customer to physically find the product they're looking for. Product inventory data is accessible through the api and delivered to the customer through the "Find in Store" feature.

Find in Store

An easier way for the customer to physically find the product they're looking for. Product inventory data is accessible through the api and delivered to the customer through the "Find in Store" feature.

Find in Store

An easier way for the customer to physically find the product they're looking for. Product inventory data is accessible through the api and delivered to the customer through the "Find in Store" feature.

An overview of all the features designed for the Neiman Marcus mobile platform.

Overview

Research/Strategy

Design/Production

Role

Year