What Is the AI Buyer Potential Evaluation Model?
The AI Buyer Potential Evaluation Model is a data-driven system that identifies the most promising overseas buyers for Korean exporters by comprehensively analyzing purchase likelihood, financial stability, transaction history, and industry fit. Developed by the KOTRA DX Innovation Lab, the model addresses the subjectivity and inefficiency of traditional staff-dependent buyer assessment and enables scientific buyer management based on objective indicators.
When AI scoring is applied to the hundreds of thousands of buyer records registered in the KOTRA buyer database, tasks previously evaluated manually by trade office staff can be automated, while hidden high-potential buyers can be uncovered. The value of AI-based assessment is especially high in emerging markets such as Bangladesh, where buyer information is often not systematically organized.
Five Core Scoring Dimensions
The AI buyer evaluation model analyzes 35 detailed factors across five dimensions to generate a composite potential score ranging from 0 to 100. The weight assigned to each dimension is adjusted dynamically according to industry and market characteristics.
| Dimension | Weight | No. of Factors | Key Indicators |
|---|---|---|---|
| Financial Stability | 25% | 8 | Revenue, credit rating, debt ratio, years in business |
| Purchase History | 25% | 7 | Import volume, transaction frequency, product fit |
| Commercial Fit | 20% | 6 | Product match, order size, payment terms |
| Growth Potential | 15% | 8 | Sales growth, new business, market expansion |
| Communication | 15% | 6 | Response speed, consultation history, interest level |
AI Algorithm Architecture
The buyer scoring model uses an ensemble approach, combining the predictions of multiple AI models to produce a final score. This reduces the bias of any single model and enables more effective processing of diverse data types, including both structured and unstructured information.
Using Buyer Scoring in Bangladesh
Buyer evaluation in the Bangladesh market comes with distinct challenges. Formal financial information on local companies is limited, the informal economy occupies a large share, and corporate structures are highly diverse. The AI model applies Bangladesh-specific evaluation criteria designed to reflect these characteristics.