SaaS

Logistics Control Tower

47%

reduction in delays

Atlas centralized fragmented supply-chain operations into one decision workflow for logistics teams.

The Challenge

Understanding the problem

Global clients were switching between disconnected tools, which delayed incident response and made planning reactive.

Our Approach

Finding the path forward

We mapped decision points with logistics managers and prioritized alerts and modeling around moments where intervention could still change outcomes.

The Solution

Bringing it all together

The platform combines real-time tracking, predictive alerts, and scenario modeling. Early alert thresholds triggered noise for some teams, so we added route-level sensitivity controls.

Project Details

Client

Global Logistics Network

Year

2023

Role

Product Design, Full-Stack Development

Timeline

10 months

Tech Stack

Next.jsPythonPostgreSQLRedisAWSMapbox

The Results

47%

fewer shipment delays

Delay rates dropped after teams got earlier route-level risk signals and mitigation options.

USD8M

annual client savings

Savings came from lower expedite costs and fewer stock-out events across active clients.

15

enterprise rollouts

Adoption spread to 15 enterprise deployments after the pilot playbook was standardized.