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Rapidly design cost-saving networks that offer high service levels

The ability to effectively distribute products and manage supply chain operations has become a critical factor in gaining a competitive advantage in the modern retail landscape. Supply chain teams must continually optimize their distribution networks to balance the need for efficient and cost-effective operations with the requirement to provide exceptional customer service. Sigmoid NetworkIQ addresses these challenges by unifying the entire logistics chain into a single system to offer end-to-end visibility, while leveraging advanced analytics to arrive at the optimal network design. Unlock cost-saving opportunities across the supply network with smart visualizations, scenario simulations, and on-the go optimization framework.

Sigmoid NetworkIQ features

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Simulate your network flows

Optimize your current 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 store older scenarios for future negotiations.

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Discover optimal Route-to-Market

Identify new centre of gravity with Greenfield analysis and evaluate possible locations on the basis of 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 what drives demand, 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 partner

Collaborate in real time with stakeholders and partners to resolve issues quickly, and then feed the decisions back into planning and execution systems for continuous learning.

Customer success story

Simulate multiple future-state scenarios to get the most resilient network designs

Descriptive reporting

Highlight trends and deviations from baseline for important business KPIs

Intuitive dashboards

UI embedded with maps and other visual plug-ins to enable easy analysis

Addition of curated dataset

Generate new optimization scenarios on-the-go aligned to future business objectives

Identification of cost saving opportunities

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

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Benefits of Sigmoid NetworkIQ

Faster issue identification

  • Gain real-time visibility to the status of suppliers, contract manufacturers, transportation carriers and third-party logistic providers and use predictive tools to alert on and resolve anomalies.

Real-time resolution

  • Track and monitor the entire network of suppliers, factories, distribution centers, distributors, channels, and customers to spot gaps in the flow of goods with potential inventory and capacity issues.

Decision making with AI-led analysis

  • Advanced analysis and alerting leverages machine learning to weigh potential impacts, prioritize options with what-if scenarios and then surface recommended actions.

Use-cases for network planning and optimization

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FAQs

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Network design and optimization helps companies make better decisions 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 things. 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.

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