Process Discovery

Stop Guessing How Your Logistics Actually Operate

We build AI that maps your real-world processes—not the theoretical ones—so you can fix what's actually breaking down.

Industry Context

Logistics operates under constant pressure from volatile fuel prices, driver shortages, and complex regulations like HOS and ELD mandates. Most companies still rely on outdated process documents that don't reflect reality, which leads to inefficiencies, compliance gaps, and missed deliveries. Manual tracking and tribal knowledge create bottlenecks that can't scale in a high-volume, low-margin industry.

By the Numbers

72%

of logistics firms have undocumented workarounds

Deloitte Supply Chain, 2024

25%

cost savings from identifying hidden inefficiencies

McKinsey Operations, 2024

2 weeks

to map core logistics processes with AI

Gartner Process Mining, 2025

The Problem

What you're dealing with

Last-minute reroutes happen because dispatchers didn't realize a driver was already behind due to unreported dock delays.

Customs paperwork gets rejected because the process for international shipments varies by team -- and wasn't covered in training.

Warehouse pickers take inconsistent routes because no one has mapped how high-demand items actually move.

Carrier invoicing errors pile up because the actual approval chain doesn't match the one documented in the SOP.

The Solution

How it works

We start with AI-driven interviews that engage directly with your team -- dispatchers, drivers, warehouse staff -- to map how work truly gets done. We bypass outdated documentation and build a model of your actual workflow, including all exceptions and variations. Then we design a custom AI system that connects to your existing tools, whether you use a TMS, WMS, or custom spreadsheets. We build and deploy on our own platform, which speeds up delivery without locking you into generic SaaS. You get a system that automates manual checks, flags deviations, and identifies bottlenecks -- without forcing your team to change how they work.

Atlas

AI-driven process discovery through conversational interviews with your team

Arc

Custom workflow automation built to connect with your existing systems

In Practice

Before and after

Before

Dispatchers manually track driver locations and ETAs using spreadsheets, phone calls, and messaging apps. Delays go unnoticed for hours.

After

We built a custom system that pulls real-time location data, cross-references traffic and weather APIs, and automatically alerts dispatchers if a driver falls behind schedule. It learns from past delays to predict risks before they happen.

1 AI maps how delays are currently communicated by interviewing drivers and dispatchers
2 System connects to ELD, GPS, and communication tools already in use
3 Automated alerts trigger when patterns match historical delay scenarios
4 Dispatchers receive prioritized notifications with suggested actions

6 weeks

Average time from discovery to live solution

For a mid-sized logistics provider managing 200+ daily shipments

FAQ

Common questions

How long does it take to build a custom solution?

We typically deliver a working system in 4-6 weeks. Our internal tools let us move faster than traditional development firms.

What if our processes change after you build the system?

We design it to adapt. You can retrain it with new data, or we can update it -- often without starting from scratch.

Do we need to replace our current TMS or WMS?

No. We build on top of what you already use. The system connects to your existing tools.

How do you handle data security and compliance?

We follow industry standards for encryption and access controls. All data stays in your environment unless you specify otherwise.