Atlas Logistics

Atlas uses Setron to handle scheduling, data processing, and reporting across multiple departments. Their operations team reduced manual workload by 60% while keeping every workflow running on time.

Industry

Logistics & Supply Chain

Timeline

6 Weeks

Stack

Python, OpenAI API, PostgreSQL, Slack, ERP Integration, AWS

Problem

Atlas Logistics relied heavily on manual spreadsheets and repetitive reporting processes to track shipments, operational performance, and delivery metrics. Operations managers spent hours each day collecting data from multiple systems and compiling reports manually. This created delays in decision-making, increased the risk of human error, and prevented the team from focusing on higher-value operational improvements.

Solution

Setron implemented a fully automated workflow that integrated directly with the company’s ERP, CRM, and internal tracking systems. AI agents automatically extracted operational data, validated key metrics, generated standardized reports, and distributed summaries to stakeholders in real time. This eliminated the need for manual data handling while providing leadership with faster, more accurate insights.

2,000+

hours saved annually

99.9%

workflow reliability

10x

faster report generation

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