Portfolio/Auto-Bid
INTERNAL2024

AUTOMATION Β· INTERNAL TOOL

Auto-Bid

Automated pipeline for winning projects on domestic and international outsourcing platforms, from project collection to analysis and proposals

Auto-Bid

Auto-Bid β€” 20s Overview

Project Video

Overview

Automatically collects and normalizes new projects from Wishket, Freemoa, and Upwork. Scores based on niche keywords, budget, and complexity, then auto-classifies as BID or REVIEW. Generates proposal drafts, KPI reports, and project logs to dramatically reduce repetitive bidding work.

Our Role

Pipeline Architecture Β· Crawler/Connector Development Β· Scoring Algorithm Β· Admin Dashboard Β· Automation Scheduling

Tech Stack

PythonPlaywrightAutomationCrawlerKPI Dashboard

The Challenge

  • 1Discovery overhead β€” manually monitoring 3+ platforms daily
  • 2Evaluation inconsistency β€” human mood/fatigue affects project selection
  • 3Proposal fatigue β€” time-consuming, generic templates get ignored
  • 4Anti-bot defenses β€” IP blocking, Cloudflare, session management

Our Solution

  • βœ“5-stage pipeline: Collect β†’ Normalize β†’ Score β†’ Decide β†’ Propose
  • βœ“ML-inspired 4-axis scoring across 84 canonical technologies
  • βœ“AI proposal generation β€” Claude generates platform/language-specific drafts
  • βœ“Human-in-the-loop β€” AI proposes, human approves, Playwright submits

Key Features

5-Stage Pipeline

Collect β†’ Normalize β†’ Score β†’ Decide β†’ Propose

3-Platform Collection

Wishket, Freemoa, Upwork with anti-bot bypass

4-Axis Scoring

Tech match 40% + complexity 25% + client quality 20% + budget 15%

AI Proposal Generation

Claude-powered, platform and language adapted

Architecture

Auto-Bid Architecture

Live Metrics

90+

Daily Projects Monitored

~21%

Intelligent Bid Rate

2-4s

Per Proposal Generation

90%+

Deduplication Accuracy

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Auto-Bid – Case Study | DCC Lab