A Study On Sale And Demand Forcasting Using Time Series Analysis In A Textile Manufacturing Company

Abstract

Accurate Sales And Demand Forecasting Is A Strategic Imperative For Textile Manufacturing Enterprises Operating In Volatile, Seasonally Driven Markets. This Study Applies Time Series Analysis To Historical Sales And Demand Data (2022–2025) Of Ascent Textiles, A Home Textile Manufacturer Based In Karur, Tamil Nadu, To Evaluate Performance Patterns And Generate Forward-looking Projections For 2026. The Analysis Examines Trend, Seasonality, Cyclical Movement, And Irregular Variation Across Product Categories And Geographic Markets. Findings Reveal A Sustained Upward Sales Trajectory — From ₹9.8 Million In 2022 To ₹16.7 Million In 2025 — With Peak Demand Concentrated In The Final Quarter Of The Year. Domestic Markets Account For Approximately 61.78% Of Total Revenue, While Export Markets, Led By The USA And UK, Contribute The Remaining 38.22%. Tablecloths And Cushion Covers Emerge As The Highest-revenue Product Segments. Power BI-based Forecasting Confirms Continued Growth Through 2026, Tempered By Evidence Of Periodic Overproduction. The Study Demonstrates The Practical Value Of Data-driven Forecasting In Improving Production Planning, Inventory Management, And Strategic Decision-making In Textile SMEs.

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