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Design scalable networks to balance operational and performance goals

Logistics and distribution teams constantly strive to balance operational cost-efficiency with exceptional customer service. Sigmoid NetworkIQ is an AI-powered network design and optimization solution that unifies the entire logistics value chain into a single system, providing end-to-end visibility, real-time monitoring, and intelligent decision support. With smart network flow visualizations, scenario simulations, and on-the-fly optimization, NetworkIQ empowers teams to identify cost-saving opportunities, manage network flows, and enhance service levels.

Benefits of Sigmoid NetworkIQ

Faster issue identification

  • Gain real-time visibility into suppliers, contract manufacturers, transportation carriers, and third-party logistics providers. Leverage predictive tools to detect anomalies early and take timely measures to resolve them.

Real-time resolution

  • Track and monitor the entire supply network, including suppliers, factories, distribution centers, distributors, channels, and customers. Identify and address gaps in the flow of goods to prevent inventory shortages and capacity constraints.

AI-driven decision-making

  • Utilize advanced analytics and proactive alerting to assess potential risks, prioritize response options with scenario simulations, and take data-driven actions for optimal network performance.

Sigmoid NetworkIQ features

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Simulate network flows

Optimize your network flows based on intelligent recommendations for achieving ideal network configuration.

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Run multiple scenarios scalably

Model multiple “what-if” scenarios for different input parameters and refer to past scenarios for future negotiations.

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Discover optimal Route-to-Market

Identify the new centre of gravity with Greenfield analysis and evaluate possible locations based on cost-to-serve.

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Maintain inventory levels for high SLAs

Use real-time internal and external data to get a deeper understanding of demand drivers, resulting in more accurate inventory levels.

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Improve strategic and tactical decision-making

Develop comprehensive short-term, medium-term, and long-term plans for optimizing networks and improving S&OP efficiency.

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Seamlessly collaborate with internal and external partners

Collaborate with stakeholders in real-time to swiftly resolve issues and integrate decisions into planning and execution for continuous learning.

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Simulate multiple scenarios for resilient network designs

Intuitive dashboards with detailed analysis allow you to:

 
  • Evaluate KPIs and uncover trends with descriptive reporting
  • Analyze network data effortlessly using visual plug-ins
  • Identify cost-saving opportunities by comparing cost-to-serve vs. actuals

Addition of curated dataset

Simulate new network scenarios on-the-fly aligned with business objectives

Identification of cost-saving opportunities

Generate a cost-to-serve baseline and compare it with the actual activities in the network

Use cases for NetworkIQ

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Customer success story

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FAQs

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Network design and optimization help companies make better network distribution using intelligent data analysis and planning methods. It allows them to better understand their supply chain, find ways to make it more efficient, and test different plans to see how changes might affect performance. Sigmoid NetworkIQ improves network design for facility locations, transportation routes, and inventory levels to improve service levels and adaptability. The platform determines the optimal combination of inventory, cost and customer service for each network to give your organization a competitive advantage.

Supply chain networks can be categorized into several types based on their structure and flow.

 
  • A centralized network consolidates production and distribution at a few key locations for more control, but leads to longer lead times.
  • Decentralized network spreads production and distribution across multiple sites, offering faster response times and greater flexibility, though at higher operational costs.
  • Hybrid network combines elements of both centralized and decentralized systems, optimizing for both cost efficiency and customer responsiveness.
  • Global networks span across countries and regions, taking advantage of geographic efficiencies, while local or regional networks operate within a specific area to minimize transportation costs and time.
 

Sigmoid NetworkIQ can optimize the structure of any type of network that aligns with long-term business goals and market demand.

Network design decisions are generally classified into strategic, tactical, and operational levels.

 
  • Strategic decisions involve long-term planning, like where to locate new facilities or how to enter new markets.
  • Tactical decisions focus on medium-term aspects, such as optimizing inventory levels or transportation routes.
  • Operational decisions handle day-to-day activities, like adjusting for demand fluctuations or solving immediate supply chain issues.
 

With Sigmoid NetworkIQ, you can make data-driven decisions across all these levels. The tool’s scenario simulation, route-to-market analysis, and real-time collaboration features ensure that strategic, tactical, and operational decisions are optimized for cost savings and improved service levels.

Scenario simulation allows you to model different “what-if” situations, such as changes in demand, supply disruptions, or new warehouse locations, to evaluate their potential impact on your network. This helps supply chain teams make informed decisions by comparing multiple configurations and identifying the most resilient network design. With Sigmoid NetworkIQ, you can run multiple scenarios at scale, optimize flows based on smart recommendations, and store previous simulations for future analysis, helping you stay agile and prepared for any changes.

AI-driven insights enable predictive and prescriptive analysis of supply chain data, helping businesses anticipate potential risks and identify the best course of action. AI can process vast amounts of data to recognize patterns, optimize routes, and recommend adjustments that enhance efficiency and reduce costs. Sigmoid NetworkIQ leverages AI-led analysis to weigh the impact of various decisions, prioritize actions, and recommend optimized network designs, ensuring data-driven decision-making at every level.

Future-proof your supply networks with Sigmoid NetworkIQ

Adapt to demand shifts, balance costs, and mitigate disruptions in real-time with AI-based network optimization.

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