I will create call center efficiency traffic calculators using python flask

Erlang B and Erlang C Network Planning Tools

Call Center Efficiency (Erlang C): Calculate the exact number of agents needed to meet your Service Level (SL) and Average Speed of Answer (ASA) targets, accounting for shrinkage and occupancy. Full dashboard, Graph/Chart visualizations, CSV exports

Delivery Time
10 Days
Package Includes: see all
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Service details

Need to optimize your Call Center staffing or Network Line capacity?

I am a professional Python Developer specializing in building high-precision engineering tools. I will develop a custom, web-based application using Flask that implements Erlang B and Erlang C formulas to help you manage traffic, reduce call blocking, and optimize agent staffing.


What this application will solve:

  1. Call Center Efficiency (Erlang C): Calculate the exact number of agents needed to meet your Service Level (SL) and Average Speed of Answer (ASA) targets, accounting for shrinkage and occupancy.
  2. Network Line Selection (Erlang B): Determine how many trunks or lines are required to handle a specific Erlang load with a target blocking probability (Grade of Service).
  3. Traffic Management: Analyze "Busy Hour" traffic to prevent system bottlenecks.


Key Features I Provide:

  • Mathematical Precision: Accurate implementation of Erlang algorithms (M/M/n and M/M/n/k models).
  • Modern UI: A clean, responsive dashboard using HTML5, CSS3, and Bootstrap.
  • Real-time Results: Instant calculation without page reloads using AJAX/JavaScript.
  • Data Export: Option to download results in CSV or PDF formats.
  • Visual Insights: Interactive charts (via Chart.js or Plotly) to visualize the relationship between agents and service levels.


Why Hire Me?

  • Python Expert: 7+ years of programming and 2 years of AI/Data logic experience.
  • Telecom Knowledge: Deep understanding of Grade of Service (GoS) and queuing theory.
  • Clean Code: Well-documented, scalable Flask backend.


Key details

  • Programming Language
    Python
  • Frontend Framework
    JqueryFlask
  • Backend Framework
    Python
Special note from freelancer
My App handles Shrinkage, I include Shrinkage adjustments (breaks, meetings, absenteeism) so your clients get real-world staffing requirements.
FAQs
How do you ensure the accuracy of the Erlang B and C calculations compared to industry standards?

Accuracy is critical in traffic engineering. I implement the Erlang algorithms using Python’s math and scipy libraries to ensure high-precision floating-point results

Can your Flask application handle real-time data or large-scale traffic simulations?

Absolutely. While the core logic is built on Python/Flask, I use AJAX/JavaScript on the frontend to provide instant results without refreshing the page

S

Shariq Khan

    Software Architect: Traditional Systems Meet Modern AI Innovation |Full-Stack Engineer | AI Expert (LLMs, Python, .NET, PHP)

    Bridging the Gap Between Robust Architecture and Intelligent Automation. With over 7 years of experience in Full-Stack Development and 2 years of specialized focus in the AI ecosystem, I help businesses build scalable, high-performance applications that leverage the power of Generative AI. Whether you need a complex enterprise system in C#/.NET or a custom AI-driven automation using local LLMs, I deliver clean, documented, and production-ready code. Why Choose Me? AI Mastery: I don’t just use AI; I integrate it. I have extensive experience working with ChatGPT (OpenAI API), Google Gemini, DeepSeek, and deploying local models via Ollama for privacy-focused solutions. Full-Stack Versatility: From legacy systems to modern web apps, I am proficient in Python, PHP, C#, C/C++, and JavaScript. Frontend Precision: Expert in crafting responsive, high-speed interfaces using HTML5, CSS3, and XHTML. Backend Reliability: Deep knowledge of ASP.NET and server-side scripting to ensure your data is secure and your logic is flawless. What I Can Do For You: AI Integration: Adding "brains" to your existing software using GPT-4 or Gemini APIs. Custom LLM Solutions: Setting up local, private AI instances using Ollama to keep your data in-house. Full-Stack Web Apps: Building from scratch using ASP.NET, PHP, or Python. Legacy Code Optimization: Refactoring and modernizing C/C++ or older XHTML projects. Automation: Writing Python scripts to automate repetitive business tasks and data processing.

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