In this episode of the Digital Transformation Podcast with Kevin Craine, Rajeev Hans (CTO, AAXIS) and Naresh Ram (Chief AI Officer, AAXIS) share their insights on how manufacturers can leverage digital commerce, data, and AI to drive growth and agility.
The discussion covers the current state of digital transformation in manufacturing and explores practical strategies for overcoming common challenges such as legacy systems, unstructured data, and misconceptions about AI.
Key takeaways include:
- Digital Commerce as a Growth Engine: Manufacturers are shifting from relationship-driven sales to seamless, self-service B2B platforms that open new markets and deepen customer engagement.
- AI for Smarter Operations: AI enables predictive maintenance, real-time quality control, and intelligent supply chain management to improve efficiency and reduce disruptions.
- Data Readiness is Essential: Success with AI depends on having clean, connected, and real-time data supported by strong governance and modernized infrastructure.
- Modernization Without Disruption: Layering modern platforms over legacy systems through APIs and integration minimizes risk while accelerating transformation.
- Leadership Alignment: AI adoption must be tied to measurable business outcomes and guided by a phased digital roadmap to avoid tech sprawl.
Final action items for leaders:
- Start small and show value quickly with a focused pilot project in an area like predictive maintenance or digital commerce.
- Map and unify critical data across sales, production, and supply chain to create a solid foundation for AI initiatives.
- Create a phased digital roadmap that aligns modernization efforts with long-term strategic goals and ROI.
Rajeev and Naresh emphasize that AI is not just a technology initiative, it’s a business strategy. By focusing on customer experience, operational excellence, and sustainable growth, manufacturers can turn AI hype into measurable impact.
Listen to the full episode: Digital Transformation Podcast