DX Innovation

TriBIG Buyer Search and Recommendation Service Upgrade

TriBIG Upgrade: The Evolution of a Trade Big Data Platform

KOTRA DX Innovation Lab Project 20 focuses on upgrading TriBIG's overseas buyer search and recommendation service. The platform has expanded beyond its original market recommendation function to include buyer discovery and recommendation, company-tailored reports, and real-time data integration, positioning TriBIG as a comprehensive trade big-data platform. It now serves as a core KOTRA DX infrastructure used by more than 18,000 member companies.

18,000+
Member Companies
active users
800K+
Buyer DB
covering 86 countries
15+
Data Sources
integrated feeds
85%
Recommendation Accuracy
after upgrade
5 min
Report Generation
vs. 3 days before
500K+
Monthly Searches
buyer lookups

Core Upgrade Features

The TriBIG enhancement program advanced across four main areas: buyer database expansion, AI recommendation algorithm improvement, UX/UI redesign, and real-time external data integration. These elements work together to improve both user experience and recommendation quality.

01
Large-Scale Buyer Database Expansion
The buyer database expanded by 60%, from 500,000 records to more than 800,000. By integrating new data sources such as LinkedIn, global trade databases, and local business registration data, both the volume and quality of buyer information improved.
02
Advanced AI Recommendation Algorithm
A deep-learning ranking model was added to the existing cosine-similarity market recommendation engine. By learning from export history, consultation outcomes, and deal-conversion data, recommendation accuracy improved from 75% to 85%.
03
Full UX/UI Redesign
The interface was rebuilt around a more intuitive dashboard experience. One-click buyer lookup, drag-and-drop comparison analysis, and automatic visual report generation significantly improved usability.
04
Real-Time Data Integration
Korea Customs export data, UN Comtrade, exchange rates, and tariff information are now linked in real time, allowing recommendations to reflect the latest available data. The refresh cycle moved from monthly batch updates to daily updates.

Buyer Search System

The upgraded buyer search system supports three modes: keyword search, filter-based search, and AI-powered recommendation search. Within a database of more than 800,000 buyers, users can perform highly granular searches using multiple criteria including product type, country, company size, certifications, and trading history.

Comparison of Buyer Search Methods
Search ModeInputOutputProcessing Time
Keyword SearchDirect item or company name inputRelevant buyer list< 2 sec
Filter SearchCountry, industry, size, and certification filtersCondition-matched buyers< 3 sec
AI Recommendation SearchAutomatic company profile analysisTop 20 tailored recommendations< 10 sec
Before Upgrade
Buyer DB500K records
Recommendation Accuracy75%
Data RefreshMonthly
Report CreationManual, 3 days
After Upgrade
Buyer DB800K+ records
Recommendation Accuracy85%
Data RefreshDaily
Report CreationAutomatic, 5 min

TriBIG provides access to a database of more than 3,000 Bangladesh-based buyers. These buyers are organized by major import sectors such as garments and textiles (RMG), IT and software, machinery and equipment, and food and agricultural products. The service also includes locally validated information supplied by the KOTRA Dhaka Trade Office.

Access TriBIG
Open TriBIG through the buyKOREA platform with the company profile loaded automatically.
Select Bangladesh
Choose Bangladesh as the target market and review the AI-generated market-fit Vij score.
Search Buyers
Search among 3,000+ Bangladesh buyers by item and conditions, then review AI-recommended buyers.
Analyze Buyer Profiles
Check each buyer’s company size, import history, certifications, and credit profile.
Connect with the Trade Office
Select target buyers and request consultations or local verification from the KOTRA Dhaka Trade Office.
TriBIG Cosine Similarity Algorithm ExplainedA technical deep dive into TriBIG's core AI recommendation engine
TriBIG Usage by More Than 18,000 Member CompaniesAn analysis of platform adoption, performance data, and outcomes
TriBIGbuyer searchrecommendation servicebig dataplatform upgradeDX Innovation Lab
TriBIG Buyer Search and Recommendation Service Upgrade | Dhaka Trade Portal