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Case Study

Unlocking AI Value & Accelerating Growth:

How Bennett Data Science Transformed Operations at Trunk Club, a Nordstrom Company

+15 % “take‑rate” lift (core revenue metric: items kept per shipment)

‑30 % cycle‑time to deliver curated products to customers

Model deployment time: 6 months → < 1 week

Company‑wide AI adoption across marketing, product, sales & ops

Executive Snapshot

  • Client – Trunk Club (Nordstrom’s personalized‑fashion subsidiary)
  • Strategic Challenge – Predictive models and data sat in silos; collaboration was minimal, reporting slow, and AI’s value invisible to most of the business.
  • Bennett Data Science Solution – Embedded data scientists on every major team, rebuilt the data warehouse (30 tables → 3), stood up CI/CD for models, and launched real‑time AI visualizations.
  • Enterprise Impact
    • +15 % “take‑rate” lift (core revenue metric: items kept per shipment)
    • ‑30 % cycle‑time to deliver curated products to customers
    • Model deployment time: 6 months → < 1 week
    • Company‑wide AI adoption across marketing, product, sales & ops

Client Context

Trunk Club delivers curated apparel boxes (“trunks”) to style‑conscious shoppers. As competition heated up, Nordstrom leadership mandated: “Make AI tangible, fast—and tie it to revenue.”

The Strategic Challenge

Bottleneck

Business Cost

  • AI in a silo—models existed but rarely touched the customer journey
  • Months before new hires saw model impact; wasted investment
  • Bloated warehouse—400‑line SQL chains for a single report
  • Analysts spent days on maintenance instead of innovation
  • 30 overlapping data tables
  • Slow model development; high error risk
  • No collaboration channels
  • Marketing & product unaware of AI capabilities

Our Approach

1. Embedding AI Into the Business

  • Placed a data scientist on every core team—marketing, product, sales, ops
  • Created direct feedback loops; questions answered in days, not quarters

2. Modernizing Data Infrastructure

  • Re‑architected warehouse from 30 to 3 canonical tables; automated ETL
  • Simplified SQL; enabled self‑service analytics and faster experimentation

3. Speeding Model Delivery

  • Built internal CI/CD pipeline—train, test, deploy in < 7 days
  • Allowed rapid iteration aligned to sprint cycles

4. Making AI Visible & Actionable

  • Launched real‑time dashboards showcasing model outputs & impact
  • Transparency built trust, sparked new AI initiatives organically

Quantified Results

1

+15 % take‑rate

better product matches drive direct revenue lift
2

‑30 % fulfillment time

curated boxes reach customers faster
3

Deployment velocity:

6 months → < 1 week for new models
4

Cross‑functional adoption:

AI requests from business units up 5×
5

End‑to‑end cultural shift

data now central to daily decision‑making

”Bennett Data Science turned AI from a back‑office science project into a growth engine. We now innovate in weeks and see immediate impact on customers and revenue.

VP Product & DataTrunk Club (Nordstrom)

Why It Worked

Success Factor

  • Embedded analysts—AI lives where decisions happen

Executive Value

  • Faster iteration; deep business alignment
  • Lean, governed data model
  • Reliable insights; lower maintenance cost
  • CI/CD for models
  • Agility to meet market changes in real time
  • Transparent dashboards
  • Trust & collaboration across the org

Partner with Us

Ready to turn operational drag into bottom‑line growth?
Let’s discuss how Bennett Data Science can deliver a 3‑5× ROI for your organization.