TradeX360: Global Trade AI Intelligence Platform

Job ID: 39699341

Budget: ₹12,500 – ₹37,500 INR

Job Posting — TradeX360: Full-Stack AI + Data Intelligence SaaS Development
About TradeX360
TradeX360 is an ambitious, world-first AI-powered Import-Export Intelligence SaaS Platform.
Our mission is to build the most powerful, fully-loaded, global trade intelligence system — integrating 200+ external platforms (customs portals, trade databases, port/shipping APIs, commodity feeds, marketplaces, contact intelligence tools, and AI processing platforms) into one simple, beautiful, and highly functional web-based dashboard.
The platform will eliminate the need for users to leave the system for any research, lead generation, or trade analysis task — giving them real-time, actionable, and personalized business intelligence for imports, exports, trends, and buyers worldwide.
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What We’re Building
We’re creating a global B2B trade intelligence ecosystem that includes:
• 200+ Integrated Data Sources — via official APIs where possible and stealth scraping where APIs are unavailable.
• Advanced AI Models — for demand forecasting, product trend prediction, and global buyer-seller matchmaking.
• Decision-Maker Contact Reveal — multiple verified emails, phones, LinkedIn, social profiles, websites, and other metadata.
• Live Dashboards — real-time data visualization for trends, trade flows, buyer interest, and supplier activity.
• Product-Level Intelligence — by country, city, date, and commodity category, with predicted order timelines.
• Automatic Personalized Outreach — AI-generated, hyper-personalized email drafts to connect with leads instantly.
• Deep Search & Filtering — search across all integrated platforms with filters for country, commodity, trade value, shipment date, contact role, etc.
• Stealth & Security Infrastructure — IP rotation, proxy management, request throttling, CAPTCHA solving, anonymization layers.
• Document Intelligence — AI-powered extraction, translation, summarization, and compliance checks.
• Market Alerts & Watchlists — trigger notifications when specific buyers, commodities, or routes change activity.
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Developer Skills Required
We need elite-level developers with expertise in:
1. Data Acquisition (Scraping & API Integration)
• Experience with 200+ API integrations (REST, GraphQL, SOAP, WebSocket).
• Stealth web scraping at scale with:
o Playwright, Puppeteer, Selenium, Scrapy, BeautifulSoup.
o Headless browser automation.
o IP rotation via Bright Data, Oxylabs, Smartproxy, or custom proxy pools.
o CAPTCHA bypass (2Captcha, Anti-Captcha, AI-based solvers).
o Anti-bot evasion (user agent spoofing, browser fingerprint rotation).
• ETL pipeline design for real-time and batch ingestion.
2. Backend Engineering
• Languages: Python, Node.js (FastAPI, Django, Express).
• Microservices architecture for scalability.
• Queue & job systems: Celery, RabbitMQ, Kafka.
• Database expertise:
o PostgreSQL, MongoDB, Redis, Elasticsearch.
o Vector databases (Pinecone, Weaviate, Milvus) for semantic search.
• API gateway design for unified endpoints.
3. AI & Data Science
• Model integration: OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Hugging Face.
• NLP: summarization, entity extraction, sentiment analysis.
• OCR: PaddleOCR, AWS Textract, Google Vision AI.
• Predictive analytics: time-series forecasting, regression models.
• Buyer/seller matchmaking algorithms.
• AI-generated email drafting with personalization variables.
4. Frontend Engineering
• Frameworks: React, Next.js, Vue.js.
• State management: Redux, Zustand, Vuex.
• Real-time charts: Recharts, D3.js, Chart.js.
• Responsive dashboard design.
• Component libraries: TailwindCSS, Material UI.
5. Automation & Infrastructure
• CI/CD: GitHub Actions, GitLab CI, Jenkins.
• Deployment: AWS, GCP, Azure.
• Containerization: Docker, Kubernetes.
• Serverless functions (AWS Lambda, Google Cloud Functions).
• Observability: Prometheus, Grafana, ELK Stack.
6. Security & Compliance
• End-to-end encryption.
• Role-based access control.
• GDPR & data privacy compliance.
• Audit logging.
• Anonymization layers for scraping.
• Legal API usage fallback.
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Your Responsibilities
• Design, develop, and deploy data acquisition pipelines for 200+ sources.
• Build backend microservices for processing and storing scraped/API data.
• Create real-time dashboards for users to view trends, contacts, and analytics.
• Integrate AI models for demand forecasting, trend prediction, and matchmaking.
• Implement search & filtering across all integrated datasets.
• Ensure scraping anonymity and anti-detection mechanisms.
• Optimize data flow for speed and scalability.
• Work closely with product owner for feature refinement.
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Tools & Tech Stack
Languages: Python, Node.js, JavaScript, TypeScript
Frameworks: FastAPI, Django, Express, React, Next.js, Vue
Databases: PostgreSQL, MongoDB, Elasticsearch, Redis, Pinecone
Scraping: Playwright, Puppeteer, Selenium, Scrapy, BeautifulSoup
AI/ML: OpenAI API, Anthropic, Hugging Face, TensorFlow, PyTorch
Cloud: AWS, GCP, Azure
Other: Docker, Kubernetes, GitHub Actions, Prometheus, Grafana
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Expected Deliverables
• Fully functional SaaS dashboard with 200+ integrated sources.
• Unified API for frontend-backend communication.
• AI modules for demand forecasting & matchmaking.
• Search engine for multi-source query.
• Contact intelligence module with verified decision-maker data.
• Automated outreach tool for lead generation.
• Real-time notifications & alerts.
• Complete security hardening.
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Who You Are
• Problem-solver with experience in large-scale scraping & API aggregation.
• Comfortable with multi-language, multi-framework environments.
• Capable of building secure, anonymous data pipelines.
• Self-starter who can work independently without constant supervision.
• Comfortable signing NDA and adhering to strict confidentiality.
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Budget & Payment
• This is a milestone-based project.
• Full milestone: MVP 200+ platform integrations, AI modules, and dashboard.
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How to Apply
Please include:
1. Your relevant experience (especially scraping/API integrations at scale).
2. Example projects or SaaS platforms you’ve built.
3. Your preferred tech stack for a project like this.
4. Proposed timeline for MVP and full delivery.
5. Your hourly rate or fixed price.