Our tool uses a robust dataset of average delay times across regions and shipping methods, combined with real-time disruption data. While no prediction can be 100% certain, we provide a confidence score with each result—typically between 70-85%—to give you a sense of reliability. The more specific data you input, like historical delays, the sharper our estimates get.
" }, "name" : "How accurate is the Supply Chain Delay Predictor?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "We factor in a wide range of issues, from weather events like hurricanes to global happenings such as port strikes or geopolitical tensions. The tool assigns a risk percentage based on the likelihood of these events impacting your specific route or shipping method. For example, sea shipments during storm season might carry a higher delay risk.
" }, "name" : "What kind of disruptions does the tool account for?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Absolutely! Whether you're shipping by air, sea, or land, our predictor can handle it. Just select the method when entering your data, and we’ll pull from relevant delay averages and disruption risks for that category. It’s designed to be flexible for all kinds of supply chain setups.
" }, "name" : "Can I use this tool for any shipping method?" } ] } ```