Overview

SteelPrime Corporation is a global steel trading enterprise that connects buyers, suppliers, and resellers across India and international markets. The company faced significant inefficiencies in managing multiple steel auction platforms, where procurement teams manually logged into different accounts to monitor listings, bids, and price movements. This time-consuming process often caused delayed notifications and missed business opportunities. To address these challenges, Bacancy’s RPA consulting team designed and implemented an intelligent notification bot that automates auction tracking across multiple trading portals. The solution aggregates real-time data, applies AI-based filters to shortlist relevant listings, and sends instant alerts via email, SMS, and Slack. By eliminating the need for multi-account logins, the system enhanced visibility, accelerated response times, and improved overall operational efficiency.

Technical Stack

  • UiPath
  • Python
  • Node.js
  • MongoDB
  • AWS Lambda
  • Slack API
  • Twilio API
  • OAuth 2.0
  • Industry

    Manufacturing

  • region
  • Region

    California

  • project-size
  • Project Size

    Non-Disclosable

Highlights

Automated steel auction tracking across 10+ platforms

Centralized real-time alert system for email, SMS, and Slack

Secure token-based access without sharing credentials

Improved operational efficiency and reduced manual workload by 80%

Challenges & Solutions

Complex Multi-Portal Auction Tracking

  • Solution: Bacancy’s RPA consulting expertise was applied to deploy UiPath bots that automated login, navigation, and data extraction from multiple auction portals. Using secure token-based authentication and intelligent scheduling, our team ensured the automation continuously monitored active listings and consolidated them into a unified database. The solution eliminated repetitive manual tracking and improved data accuracy.

Delays in Receiving Real-Time Notifications

  • Solution: To overcome communication lags, Bacancy integrated Twilio and Slack APIs into the bot. The solution now pushes instant notifications to the procurement team whenever new auctions are listed or bid prices change. This real-time alert mechanism improved responsiveness by over 70% and ensured faster decision-making.

Filtering High-Volume Auction Data for Relevance

  • Solution: Python-based AI models were implemented to filter auction listings based on steel grade, size, region, and bid amount. The system intelligently prioritizes relevant listings and suppresses duplicates or low-value entries. This ensured actionable notifications while reducing information overload.

Ensuring Security and Compliance in Automation Workflows

  • Solution: Our RPA developers integrated OAuth 2.0 for tokenized authentication and AWS Lambda for secure cloud-based operations. Role-based access controls were configured to ensure only authorized personnel could access auction data. This approach maintained compliance with enterprise data security standards and eliminated credential-sharing risks.

Core Features

  • AI-powered data filtering and classification
  • Intelligent notification bot with multi-channel alert system
  • Centralized dashboard for aggregated auction insights
  • Customizable rules for auction prioritization
  • Cloud-hosted architecture ensuring 99.9% uptime
  • End-to-end RPA-driven automation for steel auction monitoring
  • no.-of-resources
  • No of Developers

    07

  • time-frame
  • Time Frame

    August 2024 - July 2025

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