Understanding textile machinery buyers in small mills

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

A textile machinery manufacturer, working in Gujarat, Maharashtra & Tamil Nadu. Client identity is withheld to protect confidentiality.

Organisation

A textile machinery manufacturer

Sector

Textile

Team engaged

Market Research

Services

Business panel, Quantitative research, Offline data collection

The manufacturer wanted to understand how small mill owners decided to upgrade machinery and what held them back. Many mills were running machines more than fifteen years old, yet enquiries rarely turned into orders, and the sales team could not explain why.

• Deliver on the brief: understanding textile machinery buyers in small mills.
• Understand the views, needs and behaviour of small.
• Measure how widespread each pattern is, and explain the reasons behind it.
• Give the client evidence it can act on within 7 weeks.

The work focused on 400 small.

• small400

Audiences we typically reach in textile

Weavers and artisansMill and factory workersGarment exportersInternational and domestic buyersFabric retailers

Coverage: Gujarat, Maharashtra & Tamil Nadu. Market: India.

• India

A mixed-method design: structured research measured how widespread each pattern was, and qualitative conversations explained why.

1. 1Brief
2. 2Mill owner interviews
3. 3Telephone survey
4. 4Insight

We interviewed mill owners and production managers about machinery age, upgrade plans, financing, service expectations and supplier choice. Interviews were held at mills during working hours, so owners could show us their current machines and explain upgrade decisions in context. We also spoke with local lenders about equipment financing.

Business panelQuantitative researchOffline data collection

small

400

• Business respondents were screened on role, company size and involvement in the decision before being invited.
• Respondents were selected across Gujarat, Maharashtra & Tamil Nadu using quotas set in advance for each location and respondent type, so no single area or group dominated.
• Online respondents were drawn from verified panel members who matched the screening criteria, with quotas on key profile attributes.
• Telephone contacts were dialled from verified lists, with quotas tracked live by the field team.
• Qualitative participants were recruited purposively to cover the full range of experiences that mattered, rather than for statistical representation.

• Trained local-language interviewers conducted interviews in person, supervised in the field.
• Telephone interviews were run from our CATI centre, with calls monitored for quality.
• The online survey was mobile-friendly and offered in respondents' languages.
• Interviews and discussions were led by experienced moderators using a guide agreed with the client.

• Back-checks on a share of completed interviews
• Time and location checks on field interviews
• Supervisor accompaniment in the field
• Live call monitoring and recording review
• Call-back verification
• Digital fingerprinting and duplicate checks
• Attention, speed and straight-lining checks
• Review of open-ended answers
• Recordings and transcripts for every session
• Re-screening of qualitative recruits
• Logic and range checks on the final data
• Work carried out under our ISO 20252 quality procedures

• Cross-tabulation by key groups and locations
• Significance testing on the differences that mattered
• Thematic coding of interviews and discussions
• Journey and decision mapping

• Financing access and after-sales service availability were bigger barriers than machine price.
• Sales teams were trained to discuss financing options early in conversations, and service engineers were placed closer to the largest clusters to shorten response times.

Removing financing barriers unlocked demand.

• Build on the core insight: removing financing barriers unlocked demand.
• Focus effort where the evidence was strongest: financing access and after-sales service availability were bigger barriers than machine price.
• Re-measure after the changes to confirm the effect.

• The manufacturer partnered with lenders on equipment finance and expanded service coverage in key clusters.

What changed in the business as a result of the work. Impact is described qualitatively.

• Insight report and management presentation
• Cleaned data file and data tables

• Repeat the measure after changes are in place to track progress.
• A natural follow-on question: what would raise artisan incomes?