Prashant Kondle
Product LeadAvis TechnologiesPrashant Kondle is a Product Lead at Avis Technologies, where he develops innovative solutions that help organizations strengthen supply chain resilience, manage sustainability initiatives, and mitigate operational risk. With experience spanning technology, supply chain management, and digital transformation, he works closely with manufacturers and global enterprises to navigate increasingly complex business environments through data-driven decision-making and emerging technologies.
In addition to his industry leadership, Prashant is a member of the Forbes Technology Council and contributes to the Aerospace Industries Association's Engineering & Technology Leadership Council (ETLC), where he collaborates with industry experts on advancing technology and innovation. His expertise spans supply chain strategy, risk management, artificial intelligence, and digital transformation, with a particular focus on helping organizations build more resilient and sustainable operations.
Intelligent Manufacturing at Scale: AI and the Reinvention of Complex Assembly
Manufacturing is entering a decisive new chapter, defined not by incremental improvement, but by a fundamental rewiring of how plants plan, operate, a
…Manufacturing is entering a decisive new chapter, defined not by incremental improvement, but by a fundamental rewiring of how plants plan, operate, and compete.
Performance pressure is intensifying. OEE losses, unplanned downtime, scrap and rework
…Manufacturing is entering a decisive new chapter, defined not by incremental improvement, but by a fundamental rewiring of how plants plan, operate, and compete.
Performance pressure is intensifying. OEE losses, unplanned downtime, scrap and rework, and excess working capital continue to erode margins in complex assembly environments. Many manufacturers have invested in digital platforms, yet fragmented MES, SCADA, ERP, and PLM systems still li
…Manufacturing is entering a decisive new chapter, defined not by incremental improvement, but by a fundamental rewiring of how plants plan, operate, and compete.
Performance pressure is intensifying. OEE losses, unplanned downtime, scrap and rework, and excess working capital continue to erode margins in complex assembly environments. Many manufacturers have invested in digital platforms, yet fragmented MES, SCADA, ERP, and PLM systems still limit real‑time decision making, creating an opportunity for AI to deliver innovative, high‑impact solutions.
This session will focus on how AI is reshaping complex assembly operations and creating measurable business impact. Participants will gain insight into how intelligence embedded across the industrial blueprint can deliver competitive advantage, enhance throughput across OT and IT platforms, and improve working capital efficiency, all contributing to stronger margins and operational resilience. Manufacturers that integrate intelligence, automation, and human capability into core operations rather than treating them as add‑ons achieve significant performance gains and sustainable competitive advantage.
Why it matters
- Global supply chains remain structurally more volatile, driven by geopolitical shifts and fluctuating demand patterns
- Skilled labor is constrained and harder to upskill at scale as demographic shifts reduce available talent pools
- Sustainability expectations now require measurable performance improvements, not just reporting
- The technology stack across AI, automation, and industrial connectivity has matured to enable speed, precision, and resilience simultaneously
- Digital twins are expanding from isolated line simulations to enterprise‑wide decision platforms
- OT cybersecurity is evolving from basic IT hygiene to continuous, real‑time protection for connected production systems
Learning Objectives
- Diagnose revenue leakage across complex assembly lines and quantify where AI can create value to improve throughput, reduce scrap and rework, and increase asset utilization
- Translate AI‑enabled automation into measurable gains in OEE with direct impact on margin expansion
- Build a scalable AI roadmap tied directly to profitability, working capital efficiency, sustainability integration, and operational resilience
