Hey IH π
Wanted to share some observations from the trenches β we've been building IoT + data engineering solutions for freight forwarders across UAE, Saudi Arabia, and Qatar, and there are lessons here that apply to anyone building infrastructure/SaaS for traditional industries.
Basically: a huge, cash-flush industry that KNOWS it needs to modernize but doesn't know how. That's the classic "riches in niches" setup.
They want an outcome. Nobody at a freight company wakes up excited about "IoT platforms." They wake up frustrated that a shipment got stuck at Al-Batha customs for 4 hours and their customer is furious.
Sell the outcome, not the stack.
Their systems are old. Like, 2008-old. We had one client whose GPS trackers were reporting 400 km/h speeds (impossible) β because their legacy WMS had no validation. They lost 3 months of ML model work.
Lesson for founders: if you're building for legacy industries, budget 3x the integration time you estimated.
DB Schenker's playbook worked for us too: pick the highest-value, highest-risk cargo segment (pharma cold chain), prove ROI there, then expand. Trying to sell "full digital transformation" upfront kills deals.
Anyone can spin up Snowflake + Airflow. Very few teams understand:
That domain expertise is what clients pay premium for.
Without getting too deep into numbers, the pattern that works:
The retainer piece is what turns this from consulting into a real business.
If you're curious about the actual technical architecture and market dynamics, I wrote the full thing here:
Smart Logistics 2.0: IoT + Data Engineering in GCC Freight Forwarding
Genuinely curious:
Would love to hear how others are approaching the "modernize a boring old industry" playbook. Comment below
Full disclosure: I'm with INTECH Group. We focus on IoT, data engineering, and AI/ML for GCC logistics, ports & terminals, and manufacturing. Happy to swap notes with anyone building in adjacent spaces.