In this episode of Leveraged Supply Chains, Andrew Stroup talks with Lisa Anderson, President of LMA Consulting Group, about the gap between what mid-market manufacturers plan and what their suppliers actually deliver Listen to the podcast to learn how SIOP and supplier data and promise dates interact.
As volatility, uncertainty, complexity, and ambiguity (VUCA) increase, leaders who embrace what is possible will succeed. Instead of looking for roadblocks and considering them insurmountable, look for options, alternate paths, and creative solutions.
Heightened geopolitical and logistics risks are making it difficult for companies to successfully navigate evolving global supply chain conditions while keeping customer and EBITDA growth goals intact. According to DP World, 82% of supply chain leaders view geopolitical disruption as a major risk, yet only a quarter feel fully prepared.
Supply chain transformations and upgrades require the improved use of ERP. There is no doubt about it - ERP is the backbone of supply chain performance. Clients come to us to improve performance (typically profitable growth, customer service, and cash flow), and the better utilization of ERP was a key part of 100% of these clients and was required to deliver bottom line results.
The sales order is one of the most critical signals in demand and supply management because it represents committed customer demand. It isn't a projection but an order the company must fulfill. In a well-run supply chain, the sales order becomes the anchor that aligns demand with supply decisions as it ties customer needs with planning, inventory, and operations.
Companies are showing increasing interest in supply chain transformation as they want to create predictability, scalability, agility, and sustainable, profitable growth. We’ll talk through supply chain transformation, what’s included, how it relates to SIOP, ERP, and AI, and review a case study example.
U.S. labor productivity soared at a 4.9% rate in the most recent quarter as compared to the typical annualized rate of 2% during the current business cycle. We are seeing productivity gains across the board as manufacturers utilize predictive processes such as SIOP and advanced technologies such as AI, robotics, and the automation of processes and better utilization of ERP.
As supply chains have increasingly become more complex with greater risks, volatility, and costs, digitizing with smart supply chains has become integral to success. Smart supply chains powered by AI are helping industrial producers improve forecasting, streamline operations, and increase their bottom line.
Global supply chains started a full transformation in 2025 spurred on with geopolitical risk and encouraged by tariffs, and the pace accelerates as the New Year kicks off with geopolitics dominating the conversation and fundamentals making a comeback. We review learnings from the prior year and priorities for success in 2026.
In this Supply Chain Byte, Lisa Anderson outlines three priorities for the year ahead. These priorities set the foundation for resilience, growth and sustained success in an increasingly complex environment.
