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Problem:Many small and medium-scale industries (SMEs) and workshops rely on old machinery. These machines are often inefficient, prone to breakdowns, and consume more energy. Regular maintenance is costly, and retrofitting old machines with modern sensors or automation is often ignored due to cost or lack of expertise.
Solution:Create a startup that offers smart retrofitting and predictive maintenance services for existing mechanical equipment.
Key Services:
IoT-based Retrofits: Add sensors to measure vibrations, temperature, RPM, and energy consumption to old machines.
Predictive Maintenance: Analyze sensor data to predict failures before they happen, reducing downtime.
Energy Optimization: Suggest modifications to reduce power consumption and improve efficiency.
Custom 3D-Printed Parts: Quickly design and replace worn-out components using 3D printing.
Mobile App Dashboard: A simple dashboard for clients to monitor machine health in real-time.
Target Customers:
Small factories and workshops with outdated machines.
Agricultural equipment owners.
Manufacturing units looking to reduce downtime.
Revenue Model:
Charge for retrofitting projects (one-time).
Monthly subscription for monitoring and predictive maintenance.
Sell custom replacement parts.
Why it works:
Low upfront cost for industries compared to buying new machines.
Combines mechanical knowledge with electronics, IoT, and software.
Highly scalable as industries everywhere need maintenance solutions.
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