Pro SCM Consultancy, based in Kolkata, India, is a leading, professionally managed organization that has been providing end-to-end outsourcing solutions since 2023. 

We specialize in providing Supply Chain Analytics solutions for any business. Our commitment to understand the actual pain areas of any business and provide key inside with data driven route cause analysis which will helps our clients focus on their core business operations on a daily basis and help turn raw data into actionable insights. Here's a breakdown of the key steps:

1. Data Collection

What it involves: Gathering data from various sources across the supply chain—inventory systems, ERP systems, transportation logs, supplier databases, sales records, etc.

Goal: Build a comprehensive dataset that reflects the full supply chain.


2. Data Cleaning & Integration

What it involves: Fixing errors, removing duplicates, and standardizing formats. Then, combining data from different sources into a unified system.

Goal: Ensure the data is accurate, consistent, and ready for analysis.


3. Data Storage

What it involves: Storing the cleaned and integrated data in a centralized location such as a data warehouse or cloud-based platform.

Goal: Make data accessible and scalable for analytics tools.


4. Data Analysis

What it involves: Applying descriptive, diagnostic, predictive, or prescriptive analytics to uncover patterns, trends, and root causes.

Goal: Extract insights that can guide decision-making.


5. Visualization & Reporting

What it involves: Presenting the insights through dashboards, graphs, and reports using tools like Tableau, Power BI, or Excel.

Goal: Help stakeholders understand and act on the data quickly.


6. Decision Making

What it involves: Using the insights to make informed choices—adjusting forecasts, choosing suppliers, managing inventory, optimizing routes, etc.

Goal: Improve efficiency, reduce costs, and boost performance.


7. Monitoring & Continuous Improvement

What it involves: Continuously tracking KPIs (Key Performance Indicators) and refining models and processes based on new data.

Goal: Keep the supply chain agile and responsive to change.