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The Supply Chain Hack: AI, Data And Real-Time Insights

Mar 24, 2025 - forbes.com
Akash Khurana, Executive Vice President and Chief Information and Digital Officer at Wesco International, discusses how artificial intelligence (AI) is transforming supply chain management by turning data into actionable insights. Wesco, a leading provider of distribution, logistics, and supply chain solutions, is leveraging AI across its enterprise to enhance processes and empower its sales team. The company has developed an "Inventory Command Center" for adaptive inventory management, allowing real-time data integration to adjust stock levels and purchasing decisions. Additionally, Wesco has implemented a "Unified Sales Desk" CRM system to provide sales representatives with AI-driven insights, improving customer interactions and identifying sales opportunities.

Khurana shares practical advice for organizations looking to scale AI, emphasizing the importance of securing core processes, prioritizing process alignment over full integration, focusing on real-time data, using customer-centric AI solutions, and developing cross-functional AI teams. He highlights that adopting AI is not just about technology upgrades but about building systems that evolve with market conditions, ultimately making data-driven decision-making integral to business strategy.

Key takeaways:

  • AI is being used at Wesco International to transform supply chain management by turning data into meaningful action across operations.
  • Wesco's Inventory Command Center utilizes real-time data and AI for adaptive inventory management, allowing for quick adjustments to stock levels and purchasing decisions.
  • The Unified Sales Desk CRM system enhances customer interaction by providing sales representatives with AI-driven insights for better customer service and identifying sales opportunities.
  • Key principles for adopting AI at scale include securing core processes, prioritizing process alignment, focusing on real-time data, using customer-centric AI solutions, and developing cross-functional AI teams.
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