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About Our Client / Brief Introduction

Our client is a well-established 120 year old recycling company in the metals industry. They accumulate significant data on metal availability in junkyards. They offer customized industrial recycling programs for manufacturers, focusing on transparency, sustainability, and growth.

Industry

Manufacturing

Business type

B2B

Technology

AI/ ML, TensorFlow, Python

Country

USA

Duration

8 Months

Engagement

Engineering Pod

Build your business

AI-Powered Solution that Predicts Metal Availability for Leading Recycling Company

Project Overview

This project tackled two challenges for a top industrial recycling giant: predicting metal availability in junkyards with an AI system (AI tool for metals) and migrating their entire infrastructure to the secure and scalable AWS cloud (AWS Cloud Migration). This innovative approach empowered them to make data-driven decisions.

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Result/Key takeaways

  • 01. Accurate prediction of metal scraps availability using advanced AI/ML algorithms, leading to optimized resource allocation and reduced operational costs.
  • 02. Enhanced efficiency in waste sorting and recycling processes through predictive analytics, resulting in higher recycling rates and improved environmental impact.
  • 03. Seamless migration of infrastructure from on-premises to AWS cloud, ensuring scalable and reliable operations.
  • 04. Significant reduction in infrastructure maintenance costs due to the transition to AWS cloud services.
  • 05. Real-time data processing and analytics capabilities, providing actionable insights for better decision-making and operational planning.
  • 06. Positive feedback from stakeholders on the enhanced system capabilities and ease of use, reflecting successful implementation and user satisfaction.
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  • 01. Accurate prediction of metal scraps availability using advanced AI/ML algorithms, leading to optimized resource allocation and reduced operational costs.
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  • 02. Enhanced efficiency in waste sorting and recycling processes through predictive analytics, resulting in higher recycling rates and improved environmental impact.
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  • 03. Seamless migration of infrastructure from on-premises to AWS cloud, ensuring scalable and reliable operations.
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  • 04. Significant reduction in infrastructure maintenance costs due to the transition to AWS cloud services.
    • Right
  • 05. Real-time data processing and analytics capabilities, providing actionable insights for better decision-making and operational planning.
    • Right
  • 06. Positive feedback from stakeholders on the enhanced system capabilities and ease of use, reflecting successful implementation and user satisfaction.
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Ready to Minimize Waste and Reduce Costs?

Explore how our AI solutions can help you predict demand and optimize your supply while contributing to Environmental Sustainibility.
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prasanjitadhikari
Prasanjit Adhikari CoFounder, BFL
Founder1
Pankaj Goel CEO, CapitalSetu
prasanjitadhikari

“We at Batch For Labels would like to express our heartfelt gratitude to team Phyniks for their hard work, dedication, and creativity in delivering an outstanding website that truly represents our upstart. The positive impact it has had on our online presence and user engagement is undeniable. It has become a powerful tool for showcasing our services and driving business growth. You have truly captured the essence of our start-up and translated it into a visually stunning and user-friendly website.”

Founder1

“We have been associated with Phyniks since a long time and we believe that information technology is one of the key areas to grow exponentially where Phyniks helped us in the best possible way with quality services. Phyniks is one of the best service provider for Software Solutions with best industry leaders. My best wishes to the Phyniks team for future endeavours.”

Project Plan / Requirements & Challanges

Our client, a leading metal recycling company, sought a technological solution to address key operational challenges. The primary objectives were to:

  • Predict metal availability using technology
  • Optimize truck routes
  • Migrate to the cloud from on-premises infrastructure.

 

Our Process

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Conceptualisation

  • Market Research
  • Demand and Supply Data
Design

Design

  • Creating wireframes 
  • UI/UX design

code-working

Development

  • AI-model
  • Cloud migration

 

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Maintain

  • De-bugging and continuous testing
  • Enhancements
  • Security measures

Solution We Delivered / Key Features

1
AI solution for Metal Prediction

We implemented a machine learning (ML) model leveraging artificial intelligence (AI) techniques to forecast metal availability in junkyards. This facilitates strategic procurement planning and optimizes inventory management.

2
AWS Cloud-based Infrastructure

The migration to AWS cloud platform provides them with enhanced scalability to accommodate future growth. Additionally, they benefit from improved security posture and reduced operational overhead associated with on-premises infrastructure management.

3
AI-Driven Route Optimization

To minimize operational costs and maximize efficiency, we developed a sophisticated AI-powered routing algorithm. By considering factors such as traffic conditions, distance, and metal type, this tool generates optimal routes for metal collection trucks.

4
Interactive Dashboard

Built with Python, the dashboard offered a user-friendly interface to make informed decisions. It's designed to transform complex data into actionable insights like predict future metal availability, increasing collection efforts or adjusting truck routes.

Business Impact : Achieved Significant Cost Savings While Improving Operational Efficiency

Through innovative AI solutions, we empower organizations to achieve extraordinary results and stay ahead of the curve. Let's scale your businesses together with these latest technologies. 

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  • Our Process

    We collaborated closely with client’s team to understand their data sources. Python scripts were developed to clean and migrate the data to a data lake and ultimately a data warehouse. As historical data needed special handling, we employed Slowly Changing Dimensions (SCD) techniques. Then by using the cleaned data, we built an AI prediction system capable of forecasting metal availability. This system was integrated with a user-friendly dashboard for easy access and analysis. We also conducted a seamless migration of client’s infrastructure to the AWS cloud platform. This involved database migrations and ensuring a smooth transition for their operations.
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  • Our Process

    We collaborated closely with client’s team to understand their data sources. Python scripts were developed to clean and migrate the data to a data lake and ultimately a data warehouse. As historical data needed special handling, we employed Slowly Changing Dimensions (SCD) techniques. Then by using the cleaned data, we built an AI prediction system capable of forecasting metal availability. This system was integrated with a user-friendly dashboard for easy access and analysis. We also conducted a seamless migration of client’s infrastructure to the AWS cloud platform. This involved database migrations and ensuring a smooth transition for their operations.
    • Right1

Result / Performance Metrics

Discover how our performance metrics highlight the impact of our cutting-edge AI/ML solutions, driving significant improvements in metal recycling efficiency and operational effectiveness for our clients in the waste management industry.

92%

accuracy achieved in ML models.

20%

increase in recycling efficiency.

25%

reduction in total operational costs after AWS migration.

99.9%

system uptime and achieved

AI Enabled Waste Management Solution

 

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Let's

innovate for the future.

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Get

started on your journey.

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Together

we grow and thrive.

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&

 

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Build

with passion and precision.

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Your

vision becomes our mission.

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Business

growth driven by technology.

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With

passion, we drive success.

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Phyniks

crafts your ideas to life.

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Tools : This project was designed and developed with help of new age tools & technologies

  • logo-aws-243x145
  • Tensorflow_logo.svg
  • logos_figma
  • devicon_python-wordmark
  • devicon_java-wordmark
  • devicon_mongodb-wordmark
  • vscode-icons_file-type-angular

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