Order assignment is one of the most critical and historically manual steps in the valuation process. At SVI, we’ve revolutionized this step using AI-driven models that dynamically match orders to the best-suited valuation partners based on a variety of key criteria.
Our platform evaluates geographic location, license type, past performance, capacity, and completion timelines. Machine learning models then assess which partners are statistically most likely to deliver accurate, timely appraisals. As a result, reassignment rates have dropped from an industry average of 5–10% to near-zero. Assignments are now typically completed in under two business hours.
This improvement has not only reduced administrative workload but also increased appraiser satisfaction and overall workflow predictability. For clients, it means faster service, fewer delays, and more reliable outcomes. Each assignment benefits from performance-based dynamic matching that continuously improves with every transaction.
Our models also track performance metrics to adjust matching logic in real time. If an appraiser’s on-time delivery rate or quality score shifts, the system adapts to reflect that. This ensures we’re always making the most informed match possible.
By combining real-time data analysis with historical performance insights, we ensure that every order is assigned to the right person at the right time. This approach leads to more accurate valuations, improved lender confidence, and a smoother process from start to finish.
Ready to experience faster, smarter order assignment? Contact us today to see how SVI can optimize your valuation workflow.
