CASE STUDY // SUPPLY CHAIN & ENTERPRISE RETAIL

Omnichannel Retail Intelligence

Multi-Echelon Demand Sensing, Dynamic Safety Stock & Real-Time Inventory Optimization

Omnichannel Retail Platform Preview

Project Summary

A Tier-1 apparel and goods retailer with 1,200 stores and over 85,000 active SKUs required an overhaul of their batch-based ERP planning systems. Shearwater Data engineered an event-driven replenishment fabric that ingests streaming point-of-sale transactions, local micro-meteorological forecasts, and promotion schedules into a unified Snowflake data lakehouse to compute localized store replenishment recommendations hourly.

Industry

Global Retail, Supply Chain Logistics & E-Commerce

Scope
Streaming Kafka Pipeline Snowflake Lakehouse Graph Neural Networks Dynamic Reorder Engine Automated ERP Sync Executive BI Dashboards
Key Features
Hourly Demand Calculation Cross-Store Cannibalization Sensing Automated Purchase Orders Phantom Inventory Detection Lead-Time Volatility Modeling Unified Omnichannel View
Retail Fragmentation Challenge
THE OPERATIONAL BOTTLENECK

Legacy Overnight Batches Paralyzing Inventory Agility

The retailer's previous replenishment software ran on mainframe batch cycles that triggered only once every 72 hours. During volatile flash sales and holiday surges, high-demand items ran out of stock in prime urban locations while sitting idle in suburban distribution centers.

Uncoordinated warehouse reallocations were costing an estimated $42M annually in emergency split-shipments, markdown write-downs, and lost cart conversions.

Distributed Stream Architecture
ENGINEERING INTERVENTION

Kafka Event Streaming & Probabilistic Replenishment

Shearwater Data replaced the monolithic batch architecture with a distributed Apache Kafka messaging backbone linked to Apache Flink for real-time stream aggregation.

We implemented probabilistic demand forecasting models trained across temporal hierarchies, incorporating localized foot traffic patterns and supplier lead-time uncertainties. The engine surfaces high-confidence transfer recommendations directly into regional warehouse management systems with human-in-the-loop overrides.

“Shearwater Data overhauled our global inventory intelligence in 5 months flat. We cut out-of-stock incidents across our flagship stores by over 34% in our very first quarter of full deployment.”
Julian Vance VP of Supply Chain Technology, Retail Nexus Group
MEASURABLE IMPACT

Empirical Results

The dynamic replenishment platform brought immediate financial payback:

-34%

Reduction in Peak Out-of-Stocks

$18.4M

Annual Safety Stock Savings

1 Hour

Continuous Planning Cadence

85,000+

SKUs Dynamically Managed

Supply Chain Replenishment Metrics
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