We are seeking an experienced mobile app developer to create a cross-platform application that will enable predictive maintenance for steel manufacturing equipment. The app will leverage AI and IoT technologies to monitor equipment health in real-time and predict potential failures, reducing downtime and maintenance costs.
Steel plant operators, maintenance technicians, and plant managers looking to improve equipment reliability and reduce maintenance costs.
Steel manufacturing equipment often experiences unexpected failures, leading to costly downtime and maintenance expenses. There is high market demand for predictive maintenance solutions that can foresee issues before they occur.
Steel plants are under increasing pressure to maintain high operational efficiency and minimize costs. Predictive maintenance presents a competitive advantage and cost-saving opportunity, making plant operators willing to invest in innovative solutions.
Failure to address equipment maintenance proactively results in increased operational costs, reduced productivity, and potential damage to critical machinery, impacting the plant's overall profitability.
Current solutions involve manual inspections and reactive maintenance strategies that lead to inefficiencies and are inadequate for predicting potential failures in advance.
Our app uniquely combines AI, IoT, and AR technologies to deliver unparalleled predictive maintenance capabilities that are tailored specifically for the steel manufacturing sector.
We will target steel plants through industry conferences, partnerships with IoT sensor manufacturers, and direct outreach to key decision-makers in the steel industry to drive adoption of our app.