E-commerce data on laptop
Case Study

Commission Management System

Marketing Director

Client

Global Retail Inc.

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Industry

eCommerce & Retail

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Region

North America & Europes

Challenges

In the highly competitive energy retail sector, the client collaborates with multiple vendors to administer commissions linked to customer energy consumption. The organization faced considerable challenges arising from manual commission tracking processes, resulting in delays and inaccuracies. Additionally, forecasting energy consumption was imprecise, commission period management was fragmented, and there was insufficient transparency regarding vendor payouts and revenue trends. These deficiencies adversely affected operational efficiency and financial oversight.

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Goals & Objectives

The client was struggling to stay competitive in a rapidly changing market where competitors adjusted pricing thousands of times daily. Their manual monitoring process was slow, inconsistent, and covered only a fraction of their catalog. They needed real-time visibility into competitor pricing across their entire product range to optimize their pricing strategy.

The primary goal was to streamline and automate the entire commission management process to improve operational efficiency.

Another key objective was to enhance the accuracy of forecasting energy consumption and the associated vendor earnings.

Centralizing vendor-specific data and reporting capabilities was essential to provide better oversight and decision-making.

Requirements

A comprehensive digital platform needed to be developed to effectively manage commissions across multiple vendors within a single system.

The platform had to include administrative controls that allow users to define, adjust, and manage commission periods as per business needs.

Bulk upload functionality was required to facilitate the ingestion of commission data from various file formats, ensuring ease of data management.

Segregated dashboards were necessary to provide clear visibility into monthly and bi-monthly earnings, organized by each vendor.

Support for importing historical commission data and the ability to perform baseline modeling were critical for improving the accuracy of forecasting and trend analysis.

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Solution

We developed a custom commission automation portal tailored to the client’s specific operational needs that includes:

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The platform performed real-time commission calculations using vendor-specific logic and rate structures to ensure accuracy.

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A predictive analytics module was implemented to forecast energy consumption and upcoming revenue trends, providing actionable insights.

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The system included a guided upload and validation process for bulk commission files, reducing manual errors and improving efficiency.

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Dynamic dashboards were created to display earnings breakdowns, vendor performance, and trend analysis over time.

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Role-based access controls and audit trails were incorporated to maintain transparency, security, and accountability throughout the process.

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Results

The solution reduced manual workload by 40% and significantly decreased human errors in commission calculations.

Accurate forecasting models improved revenue predictability and supported better business planning.

The platform provided full transparency into vendor-level earnings through detailed drill-down reporting.

By consolidating multiple tools into a single platform, resource utilization was optimized and operational efficiency increased.

Technologies Used

Python
Scrapy
Selenium
PostgreSQL
Redis
airflow
Docker
Kubernetes
Power BI
FastAPI
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