case study · expora-ai
ExporaAI
AI-powered export intelligence for SMEs — 1.2B+ data points analyzed, 94% match accuracy.
E
challenge
Global trade data is fragmented, expensive, and hard to analyze. Finding qualified international buyers traditionally took SMEs months of manual, error-prone research — long enough that most simply gave up.
approach
We engineered an AI data-mining platform that ingests and structures millions of global shipment records. LLMs and advanced NLP match SMEs with qualified international buyers and surface predictive market insights — what to sell, where, and to whom.
outcomes
1.2B+ data points analyzed. 500+ active exporters using the platform. Match accuracy at 94% on internal evaluation sets.
Data points analyzed
1.2B+
Active exporters
500+
Match accuracy
94%
ai · stack · models
AI capabilities in production
- LLM-powered buyer profile extraction from billions of raw shipment records
- AI-driven match scoring between SME products and qualified international buyers
- Natural-language querying over 1.2B+ trade data points
- Predictive market insights surfaced via AI summarization (where to sell, when, to whom)
Tech stack
Next.jsPythonElasticSearchPostgreSQL
Primary models in stack
Claude Opus 4.7GPT-5text-embedding-3-large