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Textile & Apparel

Leading Textile Exporter

Improvement in Forecast Accuracy
28%Improvement in Forecast Accuracy
Reduction in Inventory Holding
20%Reduction in Inventory Holding
Lower Material Wastage
17%Lower Material Wastage

The Challenge

Planning missed both ways: dead stock on some styles, stockouts on others.

Demand swings by style, size and colour. Lead times run in weeks, not days. Cloth waste and manual checks add cost on top, and most planning still runs on spreadsheets and memory.

What We Built

We built a demand model on sales history, season and style attributes.

  • Demand Forecasting

    Style, size and colour level demand plans from your own sales history.

  • Fabric Defect Detection

    Cameras check cloth on the loom and after finishing.

  • Cut Plan Optimisation

    Better markers and lays, so each roll yields more garments.

  • Inventory Optimisation

    Right stock in the right godown and store, week by week.

The Outcome

  • Sharper Planning

    Plan cloth and cutting against demand you can defend.

  • Lower Working Capital

    Free the cash that sits in slow styles and dead stock.

  • Consistent Quality

    Catch a shade or weave fault before it ships.

  • Less Waste

    Less cloth on the floor and less power per metre.