Atlas
Case Study

Transforming Scan-N-Track Data into Enterprise Intelligence

How Lexington helped a manufacturing company uncover hidden losses, automate operations, and build a custom data foundation — the Atlas Lakehouse.

Challenge

The Challenge

The company implemented Scan-N-Track to monitor assets and inventory, but critical data remained fragmented across ERP systems, warehouse platforms, and financial tools.

Leadership lacked visibility into where losses were occurring and relied heavily on manual spreadsheets and delayed reporting.

Issues

Key Issues Identified

  • Inventory shrinkage across warehouse transfers
  • Disconnected financial and operational data
  • Manual reporting processes
  • No visibility into asset lifecycle costs
Approach

Lexington Approach

We integrated Scan-N-Track with ERP, financial, and logistics systems, creating automated pipelines that unified all operational data.

Financial, inventory, and logistics reports were fully automated, eliminating manual workflows and enabling real-time visibility.

Breakthrough

The Breakthrough

We identified where losses were occurring across inventory movement, labor inefficiencies, and asset utilization.

This insight enabled leadership to shift from reactive tracking to proactive decision-making.

Atlas
Data Architecture

Atlas Lakehouse

A modern data system that stores everything like a lake, but delivers structured insight like a precision system.

01
Raw Data Sources

Scan-N-Track
ERP Systems
Inventory
Logistics
Financial Data

02
Data Lake

Stores everything
raw and unstructured

03
Atlas Lakehouse

Clean • Structure • Connect
Smart data pipelines

04
Business Intelligence

Dashboards
Reports
Predictive Insights

The Lexington Analogy

Think of it like a water system. The lake stores everything. The Atlas Lakehouse acts like intelligent valves and pipelines — refining the flow and delivering only the data the business needs, exactly when it is needed.