Streamlining Data-Driven Decision Making in the Logistics Industry with Sigma Computing 

Overview

About the Client

The client is a large player in the logistics and supply chain industry, managing nationwide warehousing, shipping, and distribution for multiple sectors. With thousands of transactions processed daily across different regions, the company sought a scalable analytics platform to drive real-time, data-informed decision-making. 

Challenges Faced 

As the business grew, the client struggled with: 

• Fragmented Data Sources: Data resided across ERPs, inventory systems, and third-party logistics platforms. 

• Delayed Reporting: Generating operational reports often took days due to manual spreadsheet exports and SQL queries. 

• Limited Data Access: Business users depended heavily on the data team for basic reporting and insights. 

• Low Visibility: Real-time insights into shipping delays, inventory levels, and route performance were lacking. 

• High Operational Costs: Inefficient data processes led to missed optimization opportunities in delivery scheduling and resource allocation. 

Our Solution 

To resolve these inefficiencies, we implemented Sigma, a cloud-native analytics platform that empowers teams to explore and act on live data using a spreadsheet-like interface. 

Key solution highlights included: 

• Centralized dashboard for real-time logistics monitoring. 

• Self-service analytics for operations and management teams. 

• Live data exploration directly on the cloud data warehouse. 

• Embedded analytics for internal and partner use. 

Technology & Tools Implementation 

Using Sigma and the client’s existing Snowflake data warehouse, we deployed: 

• Operational Dashboards: Real-time KPIs for delivery status, inventory turnover, and transportation costs. 

• Custom Workspaces: Role-based views for warehouse managers, supply chain analysts, and finance teams. 

• Sigma Templates: Automated reporting for daily shipments, order accuracy, and returns. 

• Embedded Analytics: Partner portals integrated with Sigma to share delivery metrics and SLAs transparently. 

Results

The Impact and Outcome 

The implementation of Sigma Computing delivered significant results: 

• 60% reduction in reporting time, from days to minutes. 

• 30% improvement in delivery route efficiency due to faster decision-making. 

• Empowered 80+ non-technical users to run queries without IT involvement. 

• Enhanced inventory accuracy and reduced stockouts with real-time warehouse visibility. 

• Lower operational costs through improved data-driven logistics planning. 

With Sigma Computing, the client transformed into a truly data-driven logistics enterprise enabling faster insights, improved service delivery, and more agile operations.