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Web AppSupply Chain 22 weeks Singapore

TradeSync

B2B marketplace with AI-powered supplier matching

5K+

Manufacturers

1,200+

Distributors

< 4 hours

RFQ Match Time

18%

Procurement Cost Savings

The Challenge

A Singapore-based B2B marketplace needed to connect manufacturers across Southeast Asia with distributors — but manual supplier matching was taking 2-3 weeks per RFQ, and procurement teams were drowning in spreadsheets with no visibility into supply chain performance.

The Solution

Ubikon built a Next.js marketplace with an AI matching engine (GPT-4 + Elasticsearch) that analyses RFQ requirements against supplier capabilities, automated quotation workflows, real-time order tracking, quality inspection checklists, and a procurement analytics dashboard showing supply chain KPIs.

How We Built It

1

Market Analysis

Mapped 12 product categories, supplier certification requirements, logistics corridors across ASEAN.

2

AI Matching Engine

GPT-4 semantic analysis of RFQs, Elasticsearch supplier indexing, scoring algorithm with 15+ matching criteria.

3

Marketplace Platform

Next.js with supplier profiles, RFQ submission, automated quotation comparison, order management.

4

Quality Module

Inspection checklists, defect tracking, supplier rating system, compliance document vault.

5

Analytics

Procurement spend analysis, supplier performance scorecards, lead time tracking, cost trend visualisation.

"TradeSync reduced our supplier matching from 2 weeks to 4 hours. The AI understands nuances like MOQ flexibility, certifications, and logistics capabilities that keyword search never could. Ubikon delivered a platform that transformed our procurement."
WT

Wei Lin Tan

CEO, TradeSync

Tech Stack

ReactNext.jsPythonPostgreSQLOpenAI APIAWSElasticsearch

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