CargoWise API Integration

Your CRM says one thing. CargoWise says another.

I build the integration layer that connects them — so your pipeline reflects what's actually shipping.

The problem every forwarder has

Your sales team is working in HubSpot (or Salesforce, or whatever CRM you use). They have a pipeline that says you're projecting $2M from 15 accounts. Meanwhile, CargoWise has the actual shipment data — what moved, what got billed, what the real margin was.

These two systems don't talk to each other. So leadership makes decisions based on projections that are disconnected from reality. Sales says an account is growing. The TMS says it's been flat for six months. Nobody knows until someone manually pulls the data and compares — which happens too late or not at all.

This isn't a technology inconvenience. It's a decision-making integrity problem. You're steering with a broken compass.

Capabilities

What I build

CargoWise Data Extraction

CargoWise is a legacy ERP platform. Getting data out of it in a usable, structured way requires building a custom data ingestion engine. I parse the data model, load it into a clean PostgreSQL database, and expose it through a Django REST API your other systems can actually use. The result: your CargoWise data, accessible on demand, in a format that works.

CRM Sync (HubSpot, Salesforce, etc.)

Shipment data, billing data, and customer activity from CargoWise synced back to your CRM automatically. Your pipeline reflects what’s actually happening — not what sales projected three months ago. Every deal, every account, every forecast grounded in operational reality.

Power BI & Reporting Connections

Once your data is structured and accessible via API, it feeds directly into Power BI dashboards for executive visibility, operational reporting, and rate analysis. No more manual exports. No more stale spreadsheets. Real-time data, real-time decisions.

AI-Ready Data Layer

Your CargoWise data, structured and exposed through a REST API, becomes the foundation for AI agents and automation. Claude, GPT, or any LLM can interact with your operational data — but only if the data layer is built right first. This is how you get from legacy ERP to AI-ready infrastructure.

Results

Proof it works

  • Built a data orchestration platform (Atlas) connecting CargoWise, HubSpot, Azure, and 5+ systems into a unified data layer
  • Replaced $40K/year in vendor costs with a single custom platform
  • Automated 20–40 hours/week of manual data entry between systems
  • Analyzed 188,000+ rate records from CargoWise data for pricing insights
  • Built a quoting platform in 3 days that integrates CargoWise and HubSpot, valued at $65K–$100K equivalent build cost
See the full case studies

Process

How it works

1

Free 30-Min Audit Call

Walk me through your systems. I surface what’s broken, disconnected, or costing you money.

2

You Get a Diagnosis

A follow-up with 2–3 specific findings and rough ROI estimates. No sales pitch.

3

We Fix It Together

If it resonates, we scope the fix. Specific integration, clear timeline, defined deliverables.

Your CargoWise data should be working for you, not trapped inside a legacy system.

30 minutes. No cost. No pressure. Just an honest look from someone who's built these integrations from the inside.

Get a Free Tech Audit