Neiman Marcus
Neiman MarcusLuxury mobile shopping, discovery built in

Neiman Marcus

Leading Neiman Marcus' mobile shopping experience while shaping how Bloomreach's intelligence layer lived inside it.

Role
Lead, mobile shopping experience
Client
Neiman Marcus × Bloomreach
Timeline
2016

Neiman Marcus is synonymous with curated luxury retail. Getting that onto a phone means solving something desktop ecommerce never has to: space, attention, and navigation all go scarce at once — while a luxury shopper's expectations for taste and personalization stay exactly as high as they are in a physical boutique.

A boutique in your pocket — luxury shopping that had to feel as considered as the store.
The mobile experience — home, shopping bag, and editorial, with intelligence woven through rather than bolted on.
The mobile experience — home, shopping bag, and editorial, with intelligence woven through rather than bolted on.

I led two things here at once: the mobile experience redesign, and the discovery layer inside it. Bloomreach supplied the intelligence — behavioral and intent signals, personalization, recommendations — and my design question was where that intelligence should live: woven into the shopping experience, or sitting beside it as one more widget.

The bar the phone had to clear
The bar the phone had to clear
…without thinning out on a small screen
…without thinning out on a small screen

A physical boutique's taste and restraint, carried onto the phone rather than diluted for it.

Before redrawing a screen, I combined interviews with frequent and occasional shoppers, a competitive read of luxury retail apps, and an analytics review. Three break points surfaced: navigation was cumbersome — especially searching by designer; checkout was leaking to abandonment; and personalization was missing exactly where a luxury shopper treats it as a baseline, not a bonus. Each became a decision with an obvious version I turned down.

The product page — the surface every discovery moment feeds into.
The product page — the surface every discovery moment feeds into.

Discovery woven in, not bolted beside

Bloomreach's intelligence could've lived where it usually does — a “Recommended for you” rail stapled beside the product. That's the widget, and it reads as the store guessing. I put the intelligence inside moments a shopper already trusts: Trending as a way in, and More Like This on the product page itself, where the “this, but…” instinct actually fires. Weaving it in had a cost — the recommendations now had to be good enough to stand in the primary flow, where a side rail would've forgiven mediocre ones. That's the bet the two standout numbers came from.

More Like This, in motion
The path there — CTA and interaction states
The path there — CTA and interaction states

More Like This on the product page — discovery where the “this, but…” instinct fires, not a side rail.

One intelligence layer, three moments — More Like This, Trending, and Auto-suggest.
One intelligence layer, three moments — More Like This, Trending, and Auto-suggest.

Search had to know designers, not just keywords

The obvious build is keyword search with filters bolted alongside. In luxury that fails the most valuable shopper — the one who arrives knowing the house, not the product: “Balenciaga,” not “black boot.” I made the designer a first-class part of search: predictive, brand-aware suggestions and filters that resolve as you type, so a designer-led query lands on a curated result instead of a keyword dump. The cost was a heavier search content model than a plain query needs — worth it, because “searching by designer” was the loudest single signal in the research.

Search that knows designers
The luxury the search had to serve
The luxury the search had to serve

Predictive, brand-aware suggestions that resolve as you type — a designer-led query lands on a curated result.

Trust lives in the transactional moments

The friction read is to shave steps. I treated abandonment as a trust problem first: a luxury buyer hesitates to hand card, address, or location to an app that feels thin. Guest checkout with no account wall and clear progress removed the friction — and the same restraint held through the most utilitarian screens, right down to asking for location only when Find in Store needs it and showing store availability plainly. Most apps let the brand collapse into a utility form here; holding it is where the doubt goes away.

Find in Store — location asked for only at the moment it helps, availability shown plainly.
Find in Store — location asked for only at the moment it helps, availability shown plainly.

One system, boutique to bag

None of this holds without a system underneath it: a tight information architecture so nothing sits more than a couple of taps away, a restrained palette that reads as the store rather than a template, and a custom icon set drawn for the brand. The discipline is what lets the boutique feel survive the phone.

The information architecture, mapped
The palette — gold, white, grey, charcoal
The palette — gold, white, grey, charcoal

The whole experience mapped, and a restrained palette carrying the boutique feel onto the phone.

A custom icon set drawn for the brand — and tuned to stay legible down to 40px.
A custom icon set drawn for the brand — and tuned to stay legible down to 40px.

Impact

42%
lift in product discovery
28%
reduction in checkout abandonment
35%
increase in personalized engagement

Each tracks a decision: designer-first search and woven discovery lifted product discovery 42%; treating checkout as a trust problem cut abandonment 28%; personalization in the moments shoppers trust raised engagement 35%.

125%
lift in revenue per visitor associated with Trending
~150%
more revenue per visit among early More Like This users

Two feature-specific results, publicly reported from the period.

What the project taught me

Personalization usually ships as a widget, because a widget is easy to build and easy to point at. But in luxury it has to feel like a salesperson who already knows your taste, not the store guessing at you — which means the intelligence has to live inside the moments a shopper already trusts, and be good enough to stand in the main flow instead of hiding in a side rail. Get that right and a recommendation stops reading like an ad and starts reading like service.

Deliverables
Search relevance & autosuggest
Dynamic category & discovery modules
Trending, More Like This
Checkout & navigation redesign
Team
Viksit GaurDevelopment
Anand RaghuramanDevelopment
Christina AugustineProduct
Cecelia HodgesClient
Alisha KanjiClient

Neiman Marcus case study