Case Study Showcase

Supply Chain Optimization

AI-driven route optimization and demand forecasting

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Company Profile

A global logistics giant managing thousands of warehouses and a massive fleet.

Industry

Logistics & Supply Chain

Region

Global Operations

About the Client

Our client is a multi-national logistics enterprise managing complex supply chains across four continents with a fleet of over 10,000 vehicles.

Faster Data Processing

Cloud Cost Reduction

Fuel Efficiency Improvement

Challenge

The core challenge was "data fragmentation". Sensor data from the fleet was stored in different formats than warehouse inventory data, and neither spoke to the central ERP system.

Stale reporting leading to missed logistics opportunities.
Massive manual overhead for data cleaning and validation.
Inconsistent data formats across global regional offices.
Extreme cloud computing costs due to inefficient legacy ETL.

The Solution

Agentic Data Orchestration

WebbyButter implemented a state-of-the-art Agentic Pipeline architecture. Instead of rigid ETL scripts, we deployed specialized AI agents that understand the "schema" and "meaning" of incoming data.

The Outcome

Optimized Enterprise Visibility

Data processing speeds surged by 300%, allowing for real-time tracking of every asset. This visibility led to a 15% reduction in fuel costs through optimized routing.

Increase in Throughput

Infrastructure Savings

Reduction in Fuel Costs

"We finally have the data visibility we've been dreaming of for a decade. WebbyButter has saved us thousands of man-hours."

Director of Data Operations

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