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Data & Analytics
Insight: Retail Intelligence Dashboard
Client
Urban Outfitters Group
Timeline
9 Months
SnowflakedbtTableauPythonApache Spark
Primary Result
90% Forecast Accuracy
The Challenge
Understanding the Friction.
Massive data silos preventing the inventory team from making data-driven stocking decisions.
Project Goals
- 01.Unify 50+ disparate data sources into Snowflake
- 02.Achieve 90% accuracy in stock-out forecasting
- 03.Reduce excess inventory write-offs by $5M/yr
The Blueprint
Our strategic Protocol.
01
Data Pipeline
Engineering robust ETL flows using Spark and dbt.
02
Predictive Modeling
Training time-series models on historical sales cycles.
03
Visualization
Designing intuitive Tableau dashboards for non-technical buyers.
Business Impact
Quantifiable Velocity.
90%
Forecast Accuracy
$6M/yr
Capital Saved
<2s
Dashboard Latency
“Insight has completely removed the guesswork from our planning. We now stock with confidence.”
R
Rachel Green
Director of Merchandising @ Urban Group
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