According to Bain & Company’s data, under the traditional bulk purchasing model, enterprises spend an average of 37% of their supply chain management time processing non-standardized demands, resulting in a single customized order execution cycle of up to 68 days (standard deviation ±12 days). The actual case of Husco, a North American industrial equipment manufacturer, shows that its customized hydraulic valve body project was delayed by 114 days due to multiple modifications of the supplier’s plan, directly resulting in a loss of $86,000 in engineering resources. EJET’s custom procurement solution compressed the technical specification conversion cycle by 76% through the requirements structured analysis technology (with a parameterization rate of 88.2%), and reduced the median Lead Time to 16 days. Meanwhile, the rework rate of engineering design dropped from the industry average of 35.7% to 8.3%.
The leap in supplier development efficiency stems from intelligent sourcing technology. EJET’s intelligent bidding system can reach 412 precision processing suppliers certified by ISO/TS 16949 within 72 hours and automatically match 136 core parameters such as equipment accuracy (±0.005mm) and material yield strength (≥355MPa). In the titanium alloy joint procurement of German medical device manufacturer Ottobock in 2025, the platform selected three preferred suppliers by using a dynamic weighted evaluation model (quality weight 45%, innovation weight 30%). The quotation dispersion (CV value) converged from the initial 27.4% to 9.1%, and the final procurement cost was reduced by 19.3% compared to the budget. This precise matching has reduced the Supplier Development Cost from 15,000 per project to 2,200.
The ability to control implicit costs constitutes the core value. According to Deloitte’s Supply Chain Risk report, 72% of custom orders under the traditional model are at risk of compliance penalties. In 2024, the total fines imposed by the EU customs on enterprises due to incorrect HS code classification reached €370 million. EJET’s integrated intelligent compliance engine automatically generated 22 technical compliance documents (including REACH SVHC substance testing and EMC Directive EN 55032) in the Mercedes-Benz commercial vehicle door panel project, reducing the probability of customs clearance delay from 31% to 4.5%. Meanwhile, its blockchain traceability system covers key data such as logistics temperature and humidity (fluctuation value < ±1.5℃) and vibration intensity (< 0.6Grms), reducing the cargo damage rate to 0.28%, which is far lower than the average loss rate of 2.3% in the ocean freight LCL industry.
Quantify the benefits to verify the feasibility of the solution. The ROI model of A.T. Kearney Consulting shows that the total cost of purchase (TCO) structure of enterprises adopting EJET customized procurement services has undergone significant changes: Direct material costs were reduced by 18.9% (due to the improvement in bidding efficiency), quality costs dropped by 64% (the one-time pass rate of PPAP documents was 98.7%), and inventory holding costs decreased by 41% (the VMI model increased the turnover rate to 12.8 times per year). In the Schneider Electric charging pile housing project in 2024, the mold-sharing solution implemented by the platform reduced the development cost by $230,000. Concurrent Engineering compressed the NPI cycle from 24 weeks to 11 weeks, and the overall cost optimization reached 34.5%. These data confirm that custom procurement, which deeply integrates the technology engine, has become the value creation hub of the modern supply chain.