Gautam Hari Singhania on How AI Is Redefining Raymond for a New Generation
Raymond integrates AI to boost product development by combining design creativity with data science. This approach enhances forecasting, customization, and connects with younger consumers effectively.
How Raymond is Integrating AI to Transform Product Development
Artificial intelligence (AI) is becoming a central topic across industries, and the textile sector is no exception. Gautam Hari Singhania, Chairman & Managing Director of Raymond, shared key insights on how the century-old brand is adapting its product development processes with AI at the ET World Leaders Forum 2025.
Traditionally, designing apparel depended heavily on the creative instincts of designers. Today, Raymond is shifting towards relying on IT experts who analyze vast data sets available online to inform design decisions. This shift allows the company to enhance forecasting accuracy and improve production efficiency.
From Designers to Data-Driven Production
Singhania highlighted how AI tools help Raymond manage a diverse product range spread across 3,000 price points. By analyzing consumer preferences and market trends, the company can tailor its offerings more precisely. This data-driven approach enables Raymond to stay relevant to younger, aspirational consumers without losing its legacy appeal.
Mass Customisation and the Largest Tailoring Ecosystem
One of the standout strategies Raymond is pursuing is “mass customisation.” This approach blends personalized product features with scalable production processes. It supports the creation of garments that cater to individual preferences while maintaining operational efficiency. Through this, Raymond is building India's largest tailoring ecosystem, offering consumers more options and better fitting products.
For product development professionals, this transformation is a practical example of integrating AI beyond initial design—extending through forecasting, supply chain management, and customer engagement. It underscores how data can guide decision-making at every stage.
Lessons for Product Developers
- Embrace cross-functional collaboration: Combining design creativity with data science can lead to better product outcomes.
- Leverage AI for forecasting: Predictive analytics improve inventory management and reduce waste.
- Focus on customization at scale: Use technology to offer personalized products without compromising efficiency.
- Adapt to evolving consumer expectations: Younger customers demand both quality and relevance, which AI insights can help deliver.
Exploring AI’s role in product development can provide significant advantages. For those interested in expanding their AI skills, platforms like Complete AI Training offer courses tailored to various expertise levels.
Raymond’s example demonstrates that integrating AI isn’t about replacing human creativity but augmenting it with data, enabling brands to connect with new markets effectively and efficiently.
