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Orvis / Retail · Product discovery

Help people find the product they came for.

A better shopping journey starts with better discovery.

AI-created editorial scene of anonymous collaborators arranging a physical prototype.
Original Muse artwork · Illustrative concept, not an image of this client or engagement.

THE QUESTION WE CAN HELP ANSWER

How do we make a large product catalogue easier to explore?

AI and digital implementation Enterprise expertise and teams
01 / THE STARTING POINT

The challenge.

An older search platform was difficult to scale. Merchandisers needed a more productive way to guide shoppers through a catalogue of more than 10,000 products.

02 / THE WORK

From possibility to practice.

Muse connected product search with Adobe Analytics and trained the team to shape navigation, landing pages and search results around customer behavior.

03 / THE RESULT

What the work shows.

The published account describes a launched search and merchandising capability, with the team equipped to use it. It does not publish a measured conversion or revenue lift.

A CLOSER LOOK

The evidence, in context.

Historical engagement · source undated

10,000+

products in the project’s catalogue

  1. 01Product catalogue
  2. 02Search + analytics
  3. 03Merchandising team

Catalogue size describes the project’s scale, not a performance improvement. The platform named in the historical story is not a current product recommendation.

YOUR NEXT POSSIBILITY

Bring the lesson
into your own work.

These offerings connect the experience in this story to a new conversation. Your scope starts with your own needs.

Discovery and solution planning Websites and business applications Enterprise architecture and customer data Training and enablement

A LITTLE MORE CLARITY

People Also Asked

Good questions.
Useful answers.

What does the Orvis example say about product discovery?

It shows how search, analytics and merchandising expertise can work together. A catalogue becomes easier to manage when the system and the people using it are considered in the same project.

Would a similar retail project use the same technology today?

Not automatically. The story describes a historical implementation. A new project starts with current requirements, supported platforms and the team’s operating needs.

Which Muse services connect to a product-discovery project?

Discovery, website implementation, enterprise architecture and training can all contribute. The required combination depends on the existing platform and merchandising workflow.

START A CONVERSATION

Let’s explore your version.

Tell us about your audience, your starting point and what you want to make possible.

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FIND YOUR NEXT STEP