Why Do 70% of IoT Projects Fail in Latin America?

The Proof-of-Concept Graveyard #

I visit industrial plants in Chile, Peru and Colombia. In every one of them I find the same thing: a cabinet full of dusty sensors, a dashboard nobody looks at, and a manager telling me, "We tried IoT two years ago, but it didn't work."

The problem isn't the technology. It's the strategy.

The 5 Deadly Sins of Industrial IoT in Latin America #

1. Endless Pilot Syndrome

"Let's run a 3-month pilot to validate it." Two years later, they're still piloting. Why? Because they never defined measurable success criteria. A pilot without clear KPIs is a hobby, not a project.

Fix: Define it on day 1: "If we cut unplanned downtime by 15% in 6 months, we scale to the whole plant."

2. Technology Looking for a Problem

"Let's put sensors on everything and see what happens." Big mistake. IoT has to solve a specific pain point: reducing scrap, predicting failures, optimizing energy. If you don't know which problem you're solving, you're losing money.

3. The Vendor Lock-In Trap

Many companies buy proprietary "turnkey solutions." Two years later they want to switch vendors and discover their data is trapped in a closed format. Use open protocols (MQTT, OPC-UA) from the start.

4. Ignoring Organizational Culture

You install a predictive maintenance system. The mechanics ignore it because "they can tell when a machine is about to fail by the sound." If you don't involve end users from the design stage, the system will starve to death.

5. Underestimating Connectivity

"We have WiFi in the plant." Sure, but can it handle 200 sensors transmitting every 5 seconds? What happens when the router goes down? Industrial connectivity is not the same as office connectivity.

Example: From Failure to Success #

A food plant tried IoT 3 times in 5 years. Every attempt failed. On the fourth try, they changed their approach:

• A specific problem: Losses from unplanned downtime on a packaging line, with its monthly cost calculated.
• A clear KPI: Cut downtime by 20% in 6 months.
• A cross-functional team: Maintenance + Production + IT from day 1.
• Open technology: Industrial sensors + MQTT + Grafana.

Result: A 28% reduction in downtime. Scaled to 3 more lines.

Conclusion: IoT Isn't Magic, It's Methodology #

IoT works when it's treated as a continuous improvement project, not a technology experiment. Start small, measure obsessively, scale fast.

"IoT that doesn't scale within 12 months probably never will."