Share:

From Planning to Decision Making

Supply chains are more volatile and interconnected than ever, but many planning processes still rely on disconnected systems, manual analysis, and spreadsheet-based interventions. This white paper explores how network optimization, supported by advances in optimization technology, workflow design, cloud computing, and AI, can help planning teams evaluate cross-functional trade-offs, respond faster to change, and move from static plans to continuous, decision-driven supply chain planning.

Inside the White Paper:

– Why traditional planning systems and network optimization evolved separately, and why that separation limits decision quality in today’s supply chains.

– How network optimization helps evaluate cross-functional trade-offs across sourcing, production, inventory, transportation, fulfillment, service, cost, and capacity.

– Why continuous network optimization is different from one-time strategic modeling, and how it can support recurring tactical and operational planning decisions.

– How AI and configurable workflows can make optimization more usable for planners without requiring them to become modeling experts.

– How planning systems and network optimization can work together in a feedback loop that improves decisions over time.

 

Click here to download 

More White Papers

analysis
White Papers
February 6, 2026

Supply Chain Decision Velocity Starts with Data Agility

Six industry leaders reveal how to build data agility—and why it’s the key to competitive advantage. Most teams spend 70–90% of their time preparing data—not analyzing it. By the time data is ready for analysis, the market has moved. Opportunities vanish. Competitors act. One company nearly built a $400M facility 550 miles from the optimal location. The cost of that mistake would have been $2 billion over the plant’s lifetime. They caught it with always-on data analytics. Would you? “In uncertainty-driven environments, expanded analytical capacity translates directly to resilience. Organizations that can model more futures make more informed commitments.” Download the white paper to discover: Why data—not talent or technology—is the real bottleneck How leading organizations are building reusable data infrastructure that cuts prep time by 80% What data agility unlocks: faster refreshes that deliver savings now, coverage across every business and region, and the capacity to finally tackle cost-to-serve, risk analysis, and inventory optimization The shift from ad-hoc projects to always-on decision-making capability Featuring insights from veterans of Cargill, Nestlé, McKinsey, and more. DOWNLOAD NOW
risk
White Papers
November 5, 2025

Ensuring Forced Labor Compliance in Automotive Supply Chains

Turn data into insight – map, monitor, and mitigate fortced labor risks across your value chain. Since the Uyghur Forced Labor Prevention Act (UFLPA) went into effect in 2022, sub-tier supply chain visibility has become an increasingly critical and ubiquitous prerequisite for import compliance. Automotive companies, due in no small part to their highly complex supply chains, are among the hardest hit by this requirement of anti-forced labor and ESG regulations. A recent study by Sayari analysts found that 95% of leading OEMs’ exposure to forced labor risk comes from sub-tier suppliers. The ability to identify and mitigate risks throughout their value chains is critical for OEMs aiming to minimize operational disruptions, avoid detentions, and maintain competitive advantage. Download the report to learn how Sayari is overcoming barriers to supply chain visibility, enabling OEMs to map their sub-tier supply chains, identify indirect exposure to forced labor risk, and foster greater supply chain resilience in an increasingly dynamic trade landscape. DOWNLOAD NOW