lkprototype’s online quote system, through smart algorithms by AI, reduces the quotation response time of complex components to an average of 12 seconds, which increases efficiency by 99.8% compared to traditional manual quotes (usually 6 to 24 hours). For example, a start-up online medical device company uploaded a 3D model of titanium alloy bone plate with 32 precise holes (file size 86MB). The system completed feature detection in 9 seconds, exactly determined the price of CNC machining (error rate ±1.5%), and proposed an optimization plan with tolerance grades IT7-IT8. Help the client reduce the budget to $2,750 from $4,200. In the auto industry, for an order of 500 pieces of aluminum alloy die-castings from a particular automobile manufacturer, the system gave a tiered quotation of 14 seconds by on-the-fly monitoring of material prices and process parameters (e.g., 4.5m/s injection speed and 220±5℃ mold temperature), which was 97% faster than similar services available in the market. It also added DFM (Design for Manufacturability) suggestions. Reduce the cost of subsequent modifications by as much as 35%.
When super-large assemblies (e.g., 3.2-meter carbon fiber aerospace wing beams) are involved, the system is implemented on a distributed computation platform and completes a topological optimization analysis with 1,584 features in just 18 seconds. The solution of weight loss gets to an error level of ±0.8%, and in addition, utilizes supply chain data to provide a hybrid process estimate for vacuum casting and 5-axis CNC (error rate on cost comparison ±2%). The measurements of operating in 2023 show that the system processed a mean of 12,000 inquiry requests a day and reached a concurrent volume high of 3,000 times a minute. Customer acceptance ratio or quotation approval ratio stood at 89%, well above the industry average of 53%. For instance, a specific consumer electronics company, in acquiring a smartwatch project, utilized the system for requesting real-time bulk quotations (5,000 pieces) of 3D printed nylon 12 material. From model upload to order confirmation, it took just 3 minutes and 44 seconds, 87% quicker than its rivals in coming to a decision.
For more information about LKprototype’s one-stop manufacturing services such as rapid prototyping, CNC machining, vacuum casting, and 3D printing, and the basic strengths of its own factory such as quality control, fast delivery (completion within 3 days), and no minimum order quantity, please visit the official website for further research: https://lkprototype.com/
The dynamic pricing engine of the system can include cost elements in 22 dimensions in real time. Take a particular satellite thruster valve project as an example. When the customer decides to replace the material from Inconel 718 to TA6V titanium alloy, the system recompute the processing parameters (reducing the spindle speed from 6500rpm to 3200rpm) in less than 0.3 seconds and reupdates the quotation according to the current tool wear coefficient in real time (0.08mm/piece). Refine the unit price from 148 US dollars to 112 US dollars with a coaxiality tolerance of ±0.01mm. In the injection molding industry, following an order from a packaging company for 5 million PET bottle caps, the system forecasted the hot runner balance problem via mold flow analysis and suggested an 8-cavity mold solution automatically. This cut the cycle time from 8 seconds to 5.2 seconds, raised the material utilization rate by 19%, and reduced the overall cost by 280,000 US dollars.
Even more remarkable is its capacity for cross-platform collaboration. A company in Europe dealing in unmanned aerial vehicles integrated its system with the internal ERP using API interfaces, achieving end-to-end automation right from design through procurement. It reduced the typical 14-day inquiry-procurement cycle down to 45 minutes and decreased the error rate from 12% of the manual cycle down to 0.3%. During the 2022 global supply chain crisis, the system helped 83% of customers avoid delivery delays caused by raw material shortages by using its intelligent alternative material recommendation function (for 18 kinds of engineering plastics and 52 kinds of metals), saving 21 days of time costs on average. Statistics show that the average product development cycle of organizations using this system has been lowered from 26 weeks in the traditional model to 9 weeks, and ROI increased to 3.8 times, setting the new frontier of efficiency for agile manufacturing.