sucess-story
Success Story

MALISHKA ENTERPRISE - Optimising Polyester Yarn Supply Chain

How supply chain and market intelligence helped a polyester yarn manufacturer cut costs by 35% and increase exports by 90%.

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35% Reduction in Procurement Costs
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5 New Markets
Malishka Enterprise
Client Profile

About MALISHKA ENTERPRISE

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Industry

Synthetic Textile Manufacturing

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Location

Surat, Gujarat, India

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Establishment

2017

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Business Type

Partnership, Manufacturing

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Contact Person

Management Team

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Business Nature

Factory/Manufacturing, Wholesale Business

The Challenge

Business Obstacles

Key barriers to supply chain optimisation and export growth

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Understanding global demand patterns for polyester yarn.
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Identifying cost-effective sourcing options for raw materials.
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Finding reliable international buyers for finished products.
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Optimising trade routes and logistics costs.
Our Goals

Project Objectives

Strategic targets for operational excellence and export growth

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Goal 1

Map global demand and supply trends for polyester yarn and synthetic materials.

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Goal 2

Develop data-backed sourcing strategies for cost-efficient raw material procurement.

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Goal 3

Identify verified international buyers for finished products.

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Goal 4

Optimise trade routes and logistics operations for export efficiency.

The Solution

Volza's Solution

Volza implemented a supply chain intelligence framework tailored for MALISHKA ENTERPRISE, combining

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Supply Chain Intelligence

Analysis of polyester raw material import patterns.

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Demand Forecasting

Global demand analysis for polyester yarn across different applications.

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Trade Route Optimization

Identification of most cost-effective shipping routes and logistics partners.

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Buyer-Supplier Matching

Database of international yarn buyers and raw material suppliers.

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Market Timing Intelligence

Optimal timing strategies for purchases and sales.

The Journey

Implementation Timeline & Activities

10-month roadmap to supply chain excellence

Market & Supply Chain Mapping

Assessment of sourcing patterns and demand clusters.

Months 1–3
Months 4–6
Buyer Identification

Validation of global buyers and suppliers; logistics partner evaluation.

Optimization Phase

Implementation of trade route and procurement cost optimization measures.

Months 7–8
Months 9–10
Monitoring & Review

Supply chain performance tracking and market timing adjustments.

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Results & Impact

Quantifiable Results

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Growth
35%

Cost Reduction

35% reduction in raw material procurement costs.

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Growth
90%

Export Revenue

90% increase in international sales within 10 months.

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Growth
25%

Supply Chain Efficiency

25% improvement in overall supply chain efficiency.

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Growth
5 new

Market Coverage

Expanded to 5 new export markets.

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Growth
40%

Inventory Turnover

40% improvement in inventory turnover ratio.

Qualitative Outcomes
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Established reliable global supplier network.
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Improved demand planning and production scheduling.
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Enhanced product quality through better raw material sourcing.
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Developed long-term partnerships with international buyers.
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Strategic Impact

The collaboration between MALISHKA ENTERPRISE and Volza transformed the company’s operations from reactive to strategic. By integrating supply chain intelligence, market analysis, and logistics optimisation, MALISHKA achieved significant cost savings, export growth, and improved operational agility—cementing its position as a competitive polyester yarn exporter from India.

quote-icon Volza's supply chain intelligence revolutionised our operations. We reduced our raw material costs by 35% while increasing our export revenue by 90%. The platform's trade route optimization helped us compete effectively in international markets despite being a relatively new player. quote-icon

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