MPNITE Pricing Policy Guide

MPNITE is not just a service that provides a fixed price list. MPNITE is a smart manufacturing platform that analyzes customer requirements and real-time manufacturing conditions through an AI-powered automated quoting system to propose the most reasonable and competitive prices.

 

How are prices determined?

 

The prices displayed on MPNITE are not unilaterally set by the platform. They result from our AI automated quoting system analyzing the 3D data and manufacturing conditions uploaded by customers in real time, while identifying the idle equipment status of our nationwide network of partner companies to match them under optimal conditions. Key factors influencing order pricing are as follows.

 

3D Shape Similarity-Based AI Assistant

3D Shape Similarity Based AI Assistant: Analyzes the 3D file (STEP, STL, etc.) of the product you wish to manufacture to assess volume, complexity, and production difficulty. The AI compares the uploaded shape against vast amounts of similar historical data to predict the manufacturing method with the highest success rate.

 

independently developed manufacturing information structuring technology, Smart Layer™

Manufacturing Method and Material Recommendation (Smart Layer™): When you set the desired product characteristics such as strength, precision, heat resistance, and cost efficiency, MPNITE's proprietary Smart Layer™ technology analyzes these requirements and automatically recommends the optimal manufacturing method and material (CMF) combination, reflecting them in the quote.

 

We set competitive unit prices by separately configuring factors that influence them.

Delivery Schedule and Quantity (MOQ): Unit prices vary depending on whether urgent production is required or there is ample time, and whether it involves small-batch production or mass production. MPNITE identifies the most efficient production conditions tailored to the customer's specified delivery schedule and quantity.

 

GIS for Utilizing Idle Equipment Nationwide in the Republic of Korea

Utilizing Idle Equipment: MPNITE's core competitive advantage lies in leveraging ‘idle equipment’. By monitoring equipment operational status, we assign simple, high volume tasks to idle equipment currently without assignments or to depreciated, aging equipment. This approach secures groundbreaking cost competitiveness.

 

Why can the quote vary even though the design is the same?

 

Quotes you checked yesterday may differ today due to variables such as manufacturing processes, materials, certain MOQ idle equipment, and other factors. This occurs because MPNITE's pricing system is not fixed, but reflects real-time manufacturing environments to find the most optimal conditions.

 

Manufacturing partner circumstances: Prices may be adjusted according to external factors such as raw material price fluctuations and contractors' internal work schedules. MPNITE uses a "master unit price" system for material costs, making it difficult for contractors to freely adjust material unit prices at their discretion.

 

This provides customers with a service that guarantees reliable unit prices regardless of which contractor they deal with, and provides contractors with an environment where they can develop manufacturing technology capabilities alongside increased technical interest in materials and improved facility efficiency.

 

Furthermore, this unit price stabilization policy provides customers with clear criteria to objectively compare pure manufacturing service costs excluding material costs and make the most reasonable choices, and provides contractors with efficiency to focus more on the essence of quality control and productivity improvement by freeing them from complex quotation work.

Regarding AI Quote Accuracy

 

MPNITE's AI automatic quotation system learns from past manufacturing data to provide very fast and accurate quotes in most cases. As more data accumulates, the AI learns more efficient processes or new material combinations on its own, which is reflected in more favorable quotes for customers. However, there are cases where customers request completely new design forms that have never existed or very rare process combinations. AI through deep learning predicts based on past manufacturing cases, and when there is insufficient 'past data' to reference like this, the accuracy of initial automatic quotes may be somewhat lower.

 

In such cases, MPNITE operates a 'hybrid process' where internal manufacturing experts additionally review based on the AI's primary automatic quote.

Expert review is not simply about adjusting prices, but about identifying variables that may occur during actual manufacturing (processing difficulty, need for special tools, etc.) in advance to confirm the most accurate and reasonable final quote. This provides a service that minimizes possible errors by complementing the AI's "optimal estimate" with experts' "realistic know-how".

 

The new data reviewed in this way is used again as learning material for the AI, contributing to improving the prediction accuracy of the entire system. In other words, your new challenges become a valuable process that makes MPNITE's AI smarter.

MPNITE strives to transparently disclose the limitations of technology and supplement them with expert intervention to always provide customers with the most reliable results.

 

MPNITE will always strive to provide customers with the most transparent and reasonable real-time optimal prices. Thank you.