💡 Case Study

How YMF Global Captured $630K in New Trading Opportunities

$630K
Opportunity Value Captured
53
New Arbitrage Opportunities
40
Hours Saved Per Week
Global Food Trading
4 min read
Chapter 1

The Challenge

YMF Global's trading team was drowning in manual research. Multiple analysts spent a combined 40 hours every week visiting commodity exchanges and shipping tracker websites, copying data into spreadsheets, and trying to spot price disparities across global food markets.

  • Manual identification of arbitrage opportunities caused delays, missing profit windows as market conditions shifted.
  • Inability to monitor multiple data sources in real-time resulted in missed trading opportunities and lost revenue.
  • Data volume from commodity markets made manual tracking infeasible, leaving significant profit potential unrealized.
“
He thinks with you to solve the problems that you have for your business. With a lot of experience in solving real business problems.
Frank van den Oever
Frank van den Oever
CEO, YMF Global
Chapter 2

The Solution

Automated Data Collection

n8n workflows scrape commodity exchanges and shipping trackers daily, capturing pricing, volumes, and trade flows automatically.

Centralized Intelligence

BigQuery data warehouse processes and stores historical trends, enabling pattern recognition and deeper market insights.

Smart Dashboard

Custom visualization platform with built-in profit margin calculations, making arbitrage opportunities instantly visible to traders.

Proactive Alerts

Automated notifications for price disparities between markets and sudden demand spikes, delivered directly to traders in real-time.

Chapter 3

The Process

Implementation timeline from concept to production

Weeks 1-2: Weeks 1-2 - Discovery & Mapping

YMF Global was drowning in fragmented commodity data across exchanges and shipping trackers. The discovery phase mapped every critical data point and trading workflow, revealing exactly where profit opportunities were hiding in the noise.

Weeks 3-6: Weeks 3-6 - Automation Infrastructure

Manual data collection was costing hours daily and missing time-sensitive opportunities. n8n workflows and BigQuery pipelines began automatically collecting multi-market data every morning, surfacing the first actionable price disparities within two weeks.

Weeks 7-8: Weeks 7-8 - Dashboard & Alerts

Traders were still calculating margins in spreadsheets and missing fleeting windows. The custom dashboard went live with real-time profit margin calculations and automated alerts, securing ~$45K in the first week.

Weeks 9-10: Weeks 9-10 - Testing & Training

The system needed to survive real trading pressure and team skepticism. Rigorous testing with live scenarios proved reliability, and hands-on training sessions turned cautious traders into power users who trusted the alerts.

Chapter 4

The Results

In just 3 months after the 10-week implementation, YMF Global achieved remarkable results with 53 new arbitrage opportunities identified, $430K in additional opportunity value captured, and 40 hours saved per week across the trading team.

$630K
Opportunity Value Captured
Realized in first 10 weeks
53
New Arbitrage Opportunities
Identified in first 10 weeks
40
Hours Saved Per Week
Across trading team
12+ Exchanges
Market Coverage
Automated monitoring across global markets
<30 Sec
Alert Response Time
From days of manual scanning to under 30 seconds
5x
Trading Opportunities
Team output multiplied without new hires

See the Impact in Action

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