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Kamrul Hassan

Textile Engineer

Merchandiser

Kamrul Hassan
Kamrul Hassan
Kamrul Hassan
Kamrul Hassan
Kamrul Hassan

Textile Engineer

Merchandiser

Dynamic Denim Cost Engineering & Margin Optimization App

Project Type: Merchandising Strategy, Data Analysis & Tool Development

Focus Area: Denim Product Development & Commercial Viability

Live Application: Test the Costing Engine Here

The Challenge

In high-volume denim manufacturing, maintaining target margins requires a delicate balance between fabric consumption, intricate wet processing, and hardware requirements. Traditional spreadsheet costing is static, making it difficult to run rapid “what-if” scenarios during active buyer negotiations, especially when dealing with fluctuating Minimum Order Quantities (MOQs) or complex Standard Minute Values (SMV).

The Solution

To streamline the product development lifecycle and drive commercial strategy, I developed a custom, Python-based web application. This dynamic calculator takes the complex variables specific to denim manufacturing and translates them into an interactive, real-time negotiation dashboard.

Core Capabilities

Dynamic Variable Inputs: Instantly calculates raw material and trim costs based on user inputs, automatically factoring in standard manufacturing fallout and wastage buffers.

SMV & Wash Process Costing: Isolates the financial impact of specific wet processing recipes and calculates Cut & Make (CM) costs using precise SMV rates.

Automated Gap Analysis: The engine instantly compares the calculated actual cost against the buyer’s target price to identify margin gaps down to the cent.

Strategic Negotiation Engine: The application features a built-in logic system that analyzes order quantities. It automatically generates actionable strategies—calculating required percentage upcharges for orders below MOQ, or suggesting volume discount options to secure bulk programs without sacrificing overall margin.

The Impact

By automating the financial matrix of denim production, this tool eliminates guesswork. It instantly identifies the exact cost drivers—whether it is an inefficient CAD marker or an expensive wash process—allowing for immediate, targeted cost engineering. This ensures every garment is proven to be commercially viable and highly profitable before it ever reaches the production floor.