Ejetprocurement’s supplier intelligent screening service has reduced the product development cycle from the industry average of 28 days to 4.5 days. Its AI engine conducts real-time analysis of data from 17 million global suppliers (covering 62-dimensional indicators such as production capacity, compliance records, and historical dispute rates), with a matching accuracy of 98.3%. In 2023, a certain 3C seller locked in Dongguan Battery Factory (certified IATF 16949/ISO 14001) through this platform. The purchase unit price decreased by $0.87 per piece (a reduction of 23%), and the defect rate of the first batch was only 0.8% (the industry average was 6.5%). The system automatically verifies the authenticity of the business license (with a 100% direct connection recognition rate through the API of the Administration for Industry and Commerce) and the fluctuation of production capacity (with a prediction deviation of less than 8%), avoiding a 35% risk of supply chain disruption.
The intelligent price comparison module reduces procurement cost expenditure by 85%. The algorithm synchronously calculates the raw material cost (copper price fluctuation ±82/ ton, updated in real time), logistics cost (Sino-US sea delivery time deviation ±1.7 hours), and AmazonFBA warehouse rent (0.78/ cubic foot · month), generating the optimal procurement plan. When a home furnishing seller was purchasing 50,000 sets of kitchenware, ejetprocurement compared prices and found an alternative solution from Vietnam: the total cost dropped from 142,000 to 98,000 (a 31% decrease), and the carbon emissions from sea transportation decreased by 12 tons of CO₂e. The tariff simulator precisely classifies through HS codes (with an accuracy rate of 99.5%), and the customs clearance delay rate is reduced to zero.
The full-process logistics visualization has increased the inventory turnover rate by 47%. Integrating data from 32 leading carriers (including UPS/FedEx last-mile delivery), it provides real-time cargo positioning (GPS+ Bluetooth tracking accuracy <2 meters), temperature and humidity monitoring (±1℃ cold chain monitoring), and warehouse reservation status. During the Red Ocean crisis in 2024, a certain auto parts seller switched to the China-Europe Railway Express in advance through ejetprocurement’s route optimization model (with a predicted increase in detour costs of ±1740 per container), resulting in a delay of only 3.2 days (the industry average is 21 days), and a seasonal order worth 3.5 million US dollars was spared from the risk of cancellation. The safety stock algorithm reduces the stocking cycle from 9.2 weeks to 4.3 weeks (reducing capital occupation by 710,000).
Compliance automation tools eliminate 99.6% of policy violation risks. The platform is embedded with an Amazon policy library (including 6,300 rules for ASIN restricted sales, dangerous goods, children’s products, etc.), and automatically generates CPC certificates and California Proposition 65 warning labels (error rate <0.01%). When a toy seller exported 100,000 sets of building blocks, the AIGC tool of ejetprocurement generated a test report compliant with ASTM F963-17/CPSIA in 7 minutes (it took 72 hours manually), avoiding a shelf removal loss of 120,000 per month. The REACH regulation testing module identified a certain electronic product with a potential recall loss of 0.0828 million.
The capital risk control system has been optimized to achieve a 38% cash flow efficiency. Through dynamic adjustment of the payment period of suppliers (the proportion of DDP clauses increased from 55% to 78%), forward exchange rate locking (the exchange loss rate decreased from 3.7% to 0.2%), and automatic tax refund declaration (error <0.23 per order). After a certain clothing seller adopted the * * Jet Procurement * *, the payment cycle was extended from 45 days to 87 days (the cash turnover rate increased by 58.42 million). The bad debt early warning model scanned the financial statements of suppliers (a red alert was triggered when the current ratio was less than 1.2), successfully avoiding two factories on the verge of bankruptcy (with a stop-loss of $1.3 million).
Marketing product selection empowers the success rate of best-selling products to double. The demand forecasting model analyzed 210 million pieces of Amazon Review/Jungle Scout data (correlation R²=0.93) and recommended blue ocean categories (supply-demand ratio <0.4). A pet supplies seller developed an intelligent feeder based on the AI suggestions from ejetprocurement: The conversion rate in the first month was 19.3% (the average of similar products was 9.7%), and the ROI in six months reached 214% (earning the Amazon Choice badge). The patent scanning function of competing products avoids 83% infringement risks (compared with the 37% missed detection rate of manual search).
According to Deloitte’s research, Amazon sellers who adopt ejetprocurement have achieved on average: a 21.4% reduction in total procurement costs, an inventory turnover of 7.8 times per year (industry benchmark 4.2 times), and a product compliance rate as low as 0.03 times per quarter. With the deployment of AI demand perception (seasonal fluctuation prediction accuracy ±9.8%) and NFT traceability technology (anti-counterfeiting verification speed 0.4 seconds), this platform is reshaping the new standards of cross-border e-commerce supply chains.