Industry overview
What is shaping textile
Textiles run from handloom weavers and spinning mills to garment exporters and retail brands. Buyers demand quality, compliance and speed; workers and artisans need fair, stable livelihoods.
- International buyers expect compliance and traceability
- Handloom and artisan programmes support livelihoods
- Fabric preferences change with fashion and climate
Client background
A spinning mill, working in Andhra Pradesh. Client identity is withheld to protect confidentiality.
- Organisation
- A spinning mill
- Sector
- Textile
- Team engaged
- Finance & Accounts
- Services
- MIS & financial reporting, Data analytics & dashboards, Research consultancy
Client challenge
Energy costs had become one of the mill’s largest expenses, but management could not see which processes or shifts consumed the most. Power tariffs had risen sharply, and the mill was weighing expensive investments without knowing which would deliver the largest savings.
Research objectives
- Deliver on the brief: analysing energy costs in a spinning mill.
- Establish accurate, reconciled numbers management can rely on.
- Put a reporting and compliance rhythm in place that runs on time.
Target audience
Scope: One mill, three years of cost data.
Audiences we typically reach in textile
Weavers and artisansMill and factory workersGarment exportersInternational and domestic buyersFabric retailers
Geographic coverage
Coverage: Andhra Pradesh. Market: India.
- India
Research methodology
A structured finance engagement: review the current process, set up controls, run the routine and report.
- 1Brief
- 2Cost analysis
- 3Energy dashboard
- 4Insight
We analysed energy bills, production data and machine logs, and built a dashboard showing consumption per kilogram of yarn by department and shift. Shift supervisors helped us interpret unusual patterns, such as machines left idling between batches, which the data alone could not explain.
MIS & financial reportingData analytics & dashboardsResearch consultancy
Sampling strategy
- Every ledger, entity and transaction stream in scope was covered, with sample-based checks during review.
Data collection
- Source documents, bank statements and ledgers were collected through a secure shared workspace.
Data quality & validation
- Maker-checker review on all entries
- Bank and ledger reconciliations
- Client approval before every filing or report
- Supporting documents kept for every figure
Data analysis
- Variance analysis against budget and prior periods
- Ratio and trend analysis
- Cash-flow view for management
Key findings
- A few older machines and certain shifts accounted for disproportionate consumption.
- Simple changes, such as switching off idle machines and scheduling maintenance, delivered savings even before any new investment.
Measuring cost per unit of output revealed where savings were possible.
Recommendations
- Build on the core insight: measuring cost per unit of output revealed where savings were possible.
- Focus effort where the evidence was strongest: a few older machines and certain shifts accounted for disproportionate consumption.
- Re-measure after the changes to confirm the effect.
Business impact
- The mill prioritised replacement and maintenance, and evaluated a rooftop solar investment using the data.
What changed in the business as a result of the work. Impact is described qualitatively.
Deliverables & next steps
- Insight report and management presentation
- Interactive dashboard
- Monthly MIS pack and reconciled books
- Compliance calendar and filings
- Repeat the measure after changes are in place to track progress.
- A natural follow-on question: how are worker welfare programmes performing?
Client identity is withheld to protect confidentiality.