2 min readfrom Machine Learning

Building an operational tool for heavy industry — Seeking "real world" data and site reality [R]

Our take

Introducing a new operational tool for heavy industry, our small R&D team is dedicated to bridging the "Truth Gap" in industrial operations, specifically in Ports, Mining/Quarries, and Fleet Operations. We aim to transform the chaotic data landscape created by manual logs and disjointed systems. To achieve this, we seek genuine insights from those on the ground—your experiences and data are crucial. If you’re ready to share your operational challenges and help shape a solution tailored for real-world conditions, let’s connect.

In the rapidly evolving landscape of industrial operations, the pursuit of accurate, actionable data is more critical than ever. The initiative outlined in the article, "Building an operational tool for heavy industry — Seeking 'real world' data and site reality," addresses a fundamental gap in how technology intersects with the day-to-day realities of industries like Ports, Mining, and Fleet Operations. By focusing on the “Truth Gap” created by outdated manual logs and inconsistent data connectivity, this project aims to bridge the divide between theoretical solutions and the practical needs of operators working in challenging environments. Such efforts resonate with those in the field who have long dealt with cumbersome tracking systems that fail to capture the nuances of real-world operations.

The team's commitment to developing a tool informed by actual site experiences is a refreshing departure from the norm. Too often, technology is designed in boardrooms, far removed from the gritty realities of the job site. This has led to a proliferation of tools that, while technically sophisticated, miss the mark on usability and relevance. In contrast, the call for direct conversations with operators and access to historical data acknowledges the importance of user input in shaping solutions that truly address operational pain points. This collaborative approach aligns with the broader conversation in the industry about the need for a more hands-on, human-centered design process, as seen in initiatives like the Real World Data Project.

By inviting input from those who work on the ground, the team is not only seeking to create an effective Minimum Viable Product (MVP) but is also laying the groundwork for a more engaged development process. This strategy not only enhances the likelihood of building a tool that meets real operational needs but also fosters a sense of ownership among users. When operators see their insights reflected in the final product, it builds confidence and encourages adoption. The idea of creating a "Nervous System" for these sites is particularly compelling, as it suggests a shift towards a more interconnected approach to data management, where users have the insights they need at their fingertips.

Moreover, this initiative raises important questions about the future of industrial operations and the role of technology therein. As industries continue to grapple with the complexities of data management, the demand for accessible, actionable insights will only grow. This project represents a significant step towards redefining how operational data is collected, analyzed, and utilized. It underscores the necessity of innovation that is not just technologically advanced, but also deeply rooted in the realities faced by operators. Such progress will not only enhance productivity but also empower individuals to make informed decisions in real time.

As we look ahead, the success of this initiative will likely serve as a bellwether for other industries grappling with similar challenges. Will more teams adopt this collaborative, user-focused approach to tool development? How will the insights gained from this project influence future innovations in data management across diverse sectors? These are questions worth watching as the conversation around operational efficiency and data reliability continues to evolve. The future of industrial operations may well hinge on our ability to merge technological advancement with the human experience, ensuring that every tool created is not only innovative but also genuinely useful.

Hi everyone,

I’m part of a small team currently in the R&D phase of building a new tool for industrial operations (specifically focused on Ports, Mining/Quarries, and Fleet Ops).

We’ve seen a lot of technology built by people who have never stepped foot on a dusty job site or a busy container gate. We’re trying to do the opposite. We want to solve the "Truth Gap"—the mess caused by manual logs, missing throughput data, and the general "Swiss cheese" data connectivity you deal with on-site.

We aren't looking for sales, and we have nothing to promote yet. What we do need is to connect with people who actually live the reality of these operations. We need to make sure our logic holds up against the grime, the heat, and the chaos of the field.

We are looking for:

  • Conversations: 15 minutes of your time to tell us where current tracking/inspection systems fail you.
  • Data Access: Historical or raw logs/records (under NDA) that show real friction points (bottlenecks, damage patterns, or throughput errors).
  • Operational Insight: Anyone willing to give us a "boots on the ground" perspective to help us stress-test our approach.

The Goal: If you give us the context and the data to help us build the MVP, we’ll work with you to ensure the final tool actually solves your specific bottlenecks. We want to build the "Nervous System" for these sites so you don't have to guess your numbers.

If you’re tired of tools built for boardrooms instead of operators, I’d love to chat.

Please DM me if you’re open to trading some notes or a data-sharing collaboration.

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