Today, when people talk about investing in technology, many immediately think about Artificial Intelligence. That is understandable, but AI is only one part of a much bigger transformation.
According to McKinsey’s State of Fashion report, generative AI alone could add between US $150 billion and US $275 billion in operating profits to the fashion and luxury industry over the coming years. But AI delivers real value only when businesses have the right digital foundation.
That foundation is a modern system where product development, costing, sourcing, production, planning, and inventory all work from the same connected data instead of disconnected systems and spreadsheets.
The reason is simple. AI can only make good decisions if it receives good information. If business data is scattered across different systems, AI can only make assumptions. When everything is connected, AI can provide insights that businesses can trust. The same applies to automation, analytics, smart machines, and every other digital tool. None of them can deliver their full value without connected data.
Many companies are now realising that their biggest challenge is not adopting AI. It is the technology they already use. Legacy systems were never designed for cloud computing, connected data, or AI.
That is why companies such as Aditya Birla Fashion, Shahi Exports and Gokaldas Exports are investing in modern technology to strengthen their data foundation before scaling AI. They understand that building the right foundation today makes every technology investment more valuable tomorrow.
What This Means for Manufacturers
For manufacturers, technology improves daily operations in practical ways. Managers can monitor production and quality in real time. Instead of discovering problems after products have already been shipped, they can solve issues while production is still running. Modern systems can also predict equipment failures before machines stop working. This reduces maintenance costs, prevents unexpected downtime, and keeps production running smoothly.
Order processing has also changed significantly. Instead of manually entering information from emails and PDF documents, software can now read buyer orders automatically and enter the information into the system. This saves time while reducing errors. Planning also becomes more accurate because production schedules, material availability, and factory capacity are connected in one place.
What This Means for Fashion Brands
For brands, technology improves every stage of the product journey. It starts with understanding the market. Instead of relying only on experience or guesswork, AI can analyse customer searches, buying trends, and sales data to help brands make smarter decisions.
The same information improves demand planning. Brands produce products closer to actual demand, reducing waste, and improving profitability. Product development is also becoming much faster. When design, sourcing, merchandising, and product information are connected in one system, teams work more efficiently. Designers can review garments digitally before physical samples are created. They can also upload an image of a previous style and instantly find similar products, along with costing, materials, and supplier information.
Technology also improves inventory management. Better forecasting means fewer unsold products, fewer markdowns, and healthier cash flow.
Customers benefit too. Whether they shop online, visit a store, or use a mobile app, they experience one connected brand because every channel works from the same inventory information. Zivame is one example of how moving product development onto a modern platform helped simplify operations, improve collaboration, and accelerate product development.
When Brands and Manufacturers Work Together
The biggest gains come when brands and manufacturers work from the same information instead of operating in isolation. When global brands such as Adidas establish clear digital standards, suppliers who can easily connect with those systems become valuable long-term partners. Information moves faster, approvals happen sooner, and problems are resolved before they affect deliveries.
We have seen this with Classic Fashion, a billion-dollar apparel manufacturer based in the Middle East. By aligning its operations with Adidas’ digital expectations, the company strengthened its relationship with the brand and created new opportunities for growth.
Many manufacturers are also expanding into knitting, weaving, and dyeing, so they can offer buyers shorter lead times and better control over production. This creates a significant opportunity for India.
Indian manufacturers may not always be the biggest, but they can become the easiest companies to work with. Fast communication, connected systems, reliable data, and complete visibility can become India’s competitive advantage.
As Europe introduces stricter sustainability regulations and digital product passports, businesses will also need to prove where products come from and how they were made. Good data will no longer be optional. It will become essential for global trade.
The Next Stage of Technology
Imagine a designer uploading a product image and instantly finding the closest style created before, complete with costing and product information. Imagine a tech pack automatically structured product data and a complete bill of materials. Or a buyer order arriving by email and the system automatically checking prices, production capacity, and delivery timelines before anyone accepts the order.
Imagine a production manager simply asking which orders are at risk and getting an immediate answer instead of waiting for reports.
The future is becoming clear.
Fashion businesses will increasingly need to think and operate like technology companies that happen to make fashion, rather than fashion companies that simply use technology. The businesses that succeed will be the ones that build every decision on connected data, move faster, adapt quickly, and combine manufacturing excellence with digital capability.
The Biggest Challenge Is Legacy Systems
When business leaders think about technology investments, they naturally worry about cost, employee training, and security. These concerns are real.
Modern systems require investment. Employees need support while learning new processes. Cybersecurity becomes even more important when everything is connected.
But these are challenges that can be planned for and managed. The bigger challenge is often the technology businesses already use. Many older systems operate in silos and depend heavily on manual work. They were never designed for cloud computing, connected data, or AI. Trying to add modern intelligence to these systems rarely delivers the expected results.
There is another challenge. The next generation of professionals expects software to be simple, intuitive, and easy to use. They do not want systems that feel outdated or unnecessarily complicated. Replacing legacy systems is no longer just an IT decision. It is becoming a business decision that directly affects productivity, collaboration, and future growth.
Looking Ahead
This thinking shaped how we built WFX.
From the beginning, WFX was designed specifically for the fashion industry to bring ERP, PLM, sourcing, production planning, MES, and other core business functions together on one cloud platform. Instead of data sitting in separate systems, everything is connected in one place, giving AI the complete business context it needs to deliver real value.
That foundation has enabled WFX to lead the next wave of AI innovation in fashion. As an early mover, we are helping leading global brands and manufacturers bring AI into everyday workflows and turn connected data into faster, smarter decisions.
Technology is no longer just another investment. It is becoming the foundation of long term success.
