Case Discussion
Stocking the Wine Shelves in Charlottesville
SMM635 – Data Visualization
1.0 Orientation
- A legacy independent wine retailer is rethinking its assortment.
- The owners are deciding whether and how to extend the aisle.
- The challenge is to adapt to change while protecting the store’s curated identity.
1.1 Context: What is Market Street Wine?
- A long-standing, iconic wine shop in Charlottesville.
- An independent, curated specialty retailer with deep local roots.
- Known for discovery and trust-based selection.
1.2 Change: What has changed?
- Richards and McQuade took over in 2018.
- They were insiders who had worked in the shop for years.
- They preserved the store’s character and legacy.
1.2 Change (continued)
By 2022, they observed clear shifts across:
- Consumer tastes
- Customer profile
- Buying channels
- Price/value sensitivity
- Supply conditions
These shifts triggered a reassessment of the shelf.
1.3A Who buys now?
- The customer base has evolved since 2018.
- The historical core included:
- Burgundy and Bordeaux lovers
- Classic-region loyalists
- Buyers curious about organic wines and small-producer relationships
1.3A Who buys now?
- The bulk of customers shifted in age:
- From mid-40s/50s
- Toward 30s/40s
- This shift increases demand for:
- Exploration
- Authenticity-led choices
- Clear value signals
1.3A Who buys now?
- Wine enthusiasts: Collect based on producer and seek fancy or obscure wines.
- Curious, story-driven buyers: Less focused on famous regions; value authenticity and narrative.
- Grab-and-go explorers: Arrive with fewer preconceived ideas and a willingness to try new things.
1.3B How they buy now?
- The in-store experience remains central.
- The pandemic accelerated digital engagement and new routines.
- Buying expanded to:
- Online ordering
- Pickup / delivery
- Subscriptions
1.3B How they buy now? (implications)
- The store must retain customers gained during online-only periods.
- Digital engagement enables more data-driven customization.
- The assortment must work well in both:
- Physical browsing
- Digital search and quick decision contexts
1.4 Industry tailwinds
The category environment is shifting:
- Renewed attention to sustainability and natural wines.
- Rising interest in grape mixes and blends.
- A rekindled interest in rosé.
- Supply-chain changes pushing prices upward.
- Growing consumer interest in lower-priced wines during COVID.
1.4 Industry tailwinds (millennial mechanism)
- Millennials are a driving force behind multiple trends.
- They order more adventurously.
- They show interest in:
- Unusual sparkling wines
- Blends
- Authentic, values-led products
1.4 Industry tailwinds
- Classic French and Italian labels became harder to obtain.
- The case raises a practical alternative question:
- Could U.S. regions fill meaningful category gaps?
1.4 Industry tailwinds
- The owners must maintain strong options near popular price points.
- A key strategic anchor is the presence of compelling choices under $20.
1.5 Decision: What is the core business question?
Should Market Street Wine extend the aisle?
If yes:
- Which U.S. regions and producers fit emerging demand?
- What styles, grapes, and blends align with current trends?
- How to support a strong value story around key price points?
- How to modernize while preserving the store’s curated identity?
1.6 Our role in this class
- We act as advisors to a curated retailer.
- We work with a dataset of 40,000+ U.S. wines.
- The data provides a way to move from trend narratives to measurable filters and defensible recommendations.
1.6 Our role (what the data includes)
We can leverage fields such as:
- Descriptions
- Grape variety
- Price
- Points
- Tasting notes
- Wine style
- Vineyard and winery geography
Section 2
Movement 1: Audience → Dashboard Design
2.1 The Audience
Who are we building this analysis and dashboard for?
2.1 The Audience
- Siân Richards and Thadd McQuade
- Owners of Market Street Wine
- Independent boutique wine retailers
2.2 Audience Traits
- Experienced and knowledgeable in wine, but not data analysts
- Trend-conscious
- Story-driven
- Need insights for business strategy
- Time-constrained
- Used to working with reps
2.3 Translating Audience Needs into Design
Given these traits, what should the dashboard feel like?
2.3 Audience Traits → Ideas for Dashboard Design
| Experienced and knowledgeable in wine, but not data analysts |
Strategic but not technical |
| Trend-conscious |
Simple but rich |
| Story-driven |
Supported by qualitative storytelling elements |
| Need insights for business strategy |
Unbiased, data-backed, tailored choices |
| Time-constrained |
Intuitive |
| Used to working with reps |
Supports discovery beyond the rep pitch |
Section 3
Movement 2: Trends → Data → Charts/Features
3.1 Consumer Trends
What consumer or category trends does the case highlight?
3.1 Consumer Trends
- Growing demand for natural/organic, sustainable, and low-sulfite wines
- Popularity of rosé, sparkling, and lighter styles
- Millennials’ preference for value and uniqueness
- Curiosity- and story-driven shopping
- Increased interest in American and lesser-known regions
3.2 From Trends to Data
If these are the trends, what data do we need to capture them?
3.2 Trends → Data Alignment
| Natural/organic, sustainable, low-sulfite |
Natural/organic indicators; vineyard state / winery state |
| Rosé, sparkling, lighter styles |
Wine type/style |
| Value and uniqueness |
Price, points |
| Curiosity- and story-driven shopping |
Descriptions, tasting notes |
| American and lesser-known regions |
Vineyard/winery geography |
3.3 From Data to Visualization
Given these data fields, what charts or Tableau features would best highlight matches?
3.3 Data → Visualization Alignment
| Natural/organic indicators; vineyard/winery geography |
Calculated fields, filters, highlights |
| Wine type/style |
Filters, bar charts, highlights |
| Price, points |
Scatterplots, calculated value logic |
| Descriptions, tasting notes |
Pivot tasting notes; rich tooltips / viz in tooltip |
| Vineyard/winery geography |
Maps, filters, simple tables |
3.4 Trends → Data → Visualization
| Natural/organic, sustainable, low-sulfite |
Natural/organic indicators; vineyard state / winery state |
Calculated fields, filters, highlights |
| Rosé, sparkling, lighter styles |
Wine type/style |
Filters, bar charts, highlights |
| Value and uniqueness |
Price, points |
Scatterplots, calculated value logic |
| Curiosity- and story-driven shopping |
Descriptions, tasting notes |
Pivot tasting notes; rich tooltips / viz in tooltip |
| American and lesser-known regions |
Vineyard/winery geography |
Maps, filters, simple tables |