E-commerce

Modernizing Data Architecture for Supply Chain Excellence

How Rent the Runway rebuilt their entire data infrastructure with Snowflake and dbt to achieve 60% faster analytics and real-time inventory insights

100%

Architecture Rebuilt

60%

Faster Analytics

Real-time

Inventory Tracking

Modern

Tech Stack

The Challenge

Complex supply chain data trapped in legacy systems

Rent the Runway, the pioneer in fashion rental services, manages one of the most complex supply chains in retail. With millions of rental transactions and a constantly moving inventory, their legacy data infrastructure was struggling to keep pace.

Legacy data warehouse couldn't handle growing data volumes
Complex inventory tracking across multiple fulfillment centers
Slow analytics preventing real-time decision making
Fragmented data models causing reporting inconsistencies
Limited visibility into customer behavior and inventory utilization

To maintain their competitive edge and continue scaling operations, Rent the Runway needed a complete data architecture overhaul that could handle their unique business model.

Our Solution

A modern data stack designed for complex operations

Snowflake Migration

Led complete migration from legacy systems to Snowflake, enabling elastic compute and storage for massive scale

dbt Implementation

Built comprehensive data transformation layer with dbt, creating reusable models and ensuring data consistency

Real-time Analytics

Developed streaming pipelines for real-time inventory tracking and customer behavior analysis

Technical Architecture

Data Ingestion Layer

Real-time streaming from fulfillment centers
API integrations with e-commerce platforms
Batch loads from legacy systems

Processing & Storage

Snowflake for scalable data warehousing
dbt for transformation logic
Automated data quality checks

Analytics & Insights

Real-time inventory dashboards
Customer behavior analytics
Supply chain optimization models

The Results

Transformative impact across the organization

Performance Improvements

60% reduction in analytics query time
Real-time inventory visibility across all locations
90% faster daily reporting processes
Unlimited scalability for peak seasons

Business Impact

Improved inventory utilization rates
Faster decision making for merchandising
Enhanced customer experience through better recommendations
Foundation for advanced ML models

Modern Tech Stack Implemented

Snowflake dbt Airflow Python Tableau Git