AI-Enhanced SaaS Platform for Custom CNC Manufacturing Quoting

The client faces inefficiencies due to manual, time-consuming quotation processes in CNC manufacturing, lacking centralized data management and AI-driven estimates that hinder sales speed and accuracy. The absence of integrated communication tools and scalability considerations hampers growth and competitiveness.

A mid-sized manufacturing enterprise specializing in custom metal and plastic parts using CNC machining, seeking to modernize and automate their quoting and order management processes.

• Reduce average quotation time by automating data analysis and estimate generation, targeting at least a 500-hour annual time saving per manufacturer.
• Implement a centralized, secure database for storing technical drawings, 3D models, and historical quotes to streamline data retrieval and management.
• Integrate AI components that learn from historical data to improve machine setup, operation, and programming time estimates over time.
• Enable seamless communication between manufacturers and clients via integrated email and messaging functionalities.
• Support diverse file formats for 3D models and technical drawings, including STEP, PDF, DWG, PNG, JPG, and TIFF.
• Incorporate 3D visualization of parts within the web platform to aid design review and client approval processes.
• Ensure compliance with relevant data security and privacy standards, including GDPR, through robust encryption and data handling protocols.
• Optimize cloud resource usage to reduce costs while maintaining high system performance and scalability.

• Customizable dashboard tailored to individual manufacturer profiles and workflows.
• Secure centralized database for storing parts data, technical drawings, 3D models, and historical quotations.
• File upload module accepting multiple formats (.stp, .pdf, .dwg, .png, .jpg, .tif).
• AI assistant module that analyzes uploaded models and drawings to estimate machining times and costs, with learning capabilities to improve over time.
• Quote management system supporting request handling and generation of price proposals.
• Integrated communication system using email APIs for sending quotes and responding to inquiries.
• 3D modeling viewer using WebGL-based libraries for real-time visualization of CNC parts.
• Location-based directory to suggest nearby manufacturing providers using geolocation services.
• Admin tools for managing user accounts, data security, and system settings.

• Email API (e.g., Sendgrid) for communication with clients
• ML libraries and services for machine learning model training and inference
• Geolocation API for location-based provider directory
• Cloud storage solutions for storing large 3D models and training data
• Security frameworks ensuring encryption, anonymization, and GDPR compliance

• System should handle at least 100 concurrent users smoothly with scalable architecture.
• AI estimation features to deliver quote estimates within seconds after upload.
• Data security must adhere to GDPR, with encryption for data at rest and in transit.
• 99.9% system availability with robust backup and disaster recovery protocols.
• Cost optimization strategies to reduce cloud expenses by at least 20% through resource management and workflow improvements.

The implementation of this AI-driven SaaS solution is expected to significantly reduce quotation turnaround times—saving up to 500 hours annually per manufacturing firm—enhance communication efficiency, centralize data management, and improve quote accuracy by leveraging machine learning. Cloud cost optimizations and scalable architecture will support business growth while maintaining high system reliability and security standards.