Case Study: How to Solve the High Price of Window Cleaning Robots？

A medium-sized facility management company, faced budget constraints that made it difficult to invest in high-cost window cleaning robots. They needed a cost-effective solution that would still deliver excellent performance and reliability for cleaning their commercial building windows.

The primary challenge was to design a window cleaning robot that maintained high standards of performance and reliability while significantly reducing the cost. This involved optimizing the design, materials, and manufacturing processes to ensure affordability without compromising on quality.

Through strategic innovation and meticulous planning, we implemented solutions that significantly minimized maintenance needs for our client's window machine robots. The result was improved operational uptime, reduced service interruptions, and lower overall maintenance costs. Check out our custom products

1. Cost-Effective Design:We began by re-evaluating the design of the window cleaning robot, focusing on simplifying the structure and reducing the number of components. This not only lowered production costs but also made the robot easier to assemble and maintain.
2. Material Optimization:Our team sourced high-quality yet cost-effective materials that offered durability and reliability. By using materials that provided the best value for money, we were able to significantly reduce the overall cost of the robot.
3. Efficient Manufacturing Processes:We streamlined our manufacturing processes to increase efficiency and reduce waste. By adopting lean manufacturing principles and automating certain production steps, we minimized production costs and time.
4. Bulk Production and Supplier Negotiations:To further reduce costs, we negotiated better terms with suppliers for bulk purchasing of components. Additionally, we scaled up production to benefit from economies of scale, passing these savings on to our clients.
5. Modular Design for Customization:We introduced a modular design that allowed clients to choose specific features and functionalities based on their needs and budget. This customization option ensured that clients paid only for the features they required, further reducing costs.