3 Key Learnings from deploying a Smart Manufacturing solution

relayr’s experience with my biggest DACH account - Aluvation - was highlighted as one of three use cases in the keynote “Cross the Threshold Toward Execution: Overcome Your Digital Complex” by Frank Ridder @ Gartner CIO & Executive Summit in Munich


This year, relayr gained new insights into the powerful digital forces at work in the manufacturing industry. We did this by assisting a large aluminum treatment plant to overcome the challenges of scaling IIoT deployments. In collaboration with our customer Aluvation (who provides aluminium treatment to many of the world's most prestigious car manufacturers such as Audi, BMW & Daimler) we are working on transforming their age-old CapEx purchasing model to a “pay-per-output” scheme. This is alongside the expected opportunities that IoT’s digital “disruption” present, such as continual quality improvement, increased uptime and smart predictive maintenance.


Smart Manufacturing Solution Brief


As many recent trends and studies have shown, we are witnessing the emergence of an outcome economy, where businesses will have to shift from products to outcome-based services in order to survive in the digital future. This step ahead is where we want to bring Aluvation. And this is how:


·      Instal automated billing, per usage, directly to the end customer


·      Gain real-time and historical visibility of the operation of the plants


·      Implement anomaly detection & machine learning


·      Integrate plants into the wider factory control systems of customers, thus quickly and easily providing a holistic view of the entire production process.



But digital transformation did not just happen – it required time, commitment, innovation, and a lot of learning from experience. I’d like to share relayr’s key 3 learnings as a result of this deployment, bestow our best practices and insights, in hopes of shaping and leading the next generation of IoT ecosystems. “Scientia potentia est.”


Learning 1 - Go with a platform or architecture that is truly agnostic. This allows you to continue using best-of-breed hardware, over time, as the technology matures (Aluvation integrated directly with Siemens S7 on-site but leveraged relayr's agnostic platform).


Learning 2 - Ensure the middleware can interact easily with outside systems, for example a billing platform or an end customer's ERP. This allows quick and easy scaling as only small amounts of configuration are needed to fully integrate the solution with the existing IT infrastructure of the customer (Aluvation use relayr's rich API & SDK toolkit).


Learning 3 - Focus on business outcomes, not technology. Focusing on outcomes, and taking steps such as assuring those outcomes, increases the chance of succe ss and accelerates scaling the solution. This approach also ensures you meet your end customer's requirements and don't undertake digitisation for digitisation's sake (Aluvation worked with relayr based on desired outcomes and work with Munich RE, through relayr, to assure said outcomes).


If you would like to learn more about our experience with deploying an industrial IoT solution, simply get in touch with me at to schedule a quick meeting or a call. And if you want to learn more about relayr’s Smart Manufacturing solution, you can find our comprehensive brief here:


Smart Manufacturing Solution Brief