Supply Chain Analytics

Optimize your supply chain process with data and AI

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Streamline supply chain operations with advanced analytics

Increasing complexities and fragmented demand make it difficult for supply chain leaders to optimize operations. Being one of the leading supply chain analytics companies, our solutions offer businesses with timely and actionable intelligence for accurate demand planning, route optimization, and inventory management. With real-time visibility across the supply chain, companies can take measures to mitigate risks, reduce procurement spending, and eliminate stockouts. With the help of advanced supply chain data analytics solutions, you can optimize your procurement spending, manage resources and ensure supplier relationships. Sigmoid's supply chain predictive analytics enables forecasting demand to ensure delivery of the right products and in the right quantities avoiding stockouts and overstocking.

Enable visibility with an integrated supply chain

Demand and Supply Planning

  • Demand forecasting
  • Sales and operations planning
  • Replenishment and distribution planning

Production and Inventory Planning

Real-time Operations and Monitoring


Maximizing on-shelf availability for CPGs

On-shelf availability (OSA) and the accuracy of reported inventory is a challenge which is increasingly becoming a primary focus area for a number of manufacturers. Find out how CPGs can solve pertinent problems with the quality of OSA using machine learning.

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Customer success stories

Insights and perspectives


Creating a transparent and resilient supply chain with analytics


Demand forecasting and supply chain analytics for CPG


Optimize manufacturing production schedules (MPS) using constraint programming

Customer testimonials

Get 10% increased throughput and revenue growth!

Build a resilient supply chain with control towers and digital twins to improve operational efficiency.


Supply chain analytics enables organizations to gain insights into their supply chain processes, identify areas for improvement, and make data-driven decisions. By leveraging advanced analytics techniques, organizations can understand the performance of suppliers, logistics providers, and internal operations. It allows them to identify bottlenecks, optimize production schedules, and identify potential risks in the supply chain, such as disruptions due to weather or geopolitical events. Supply chain analytics can help you to improve customer service by providing organizations with better visibility into delivery schedules. Finally, analytics can be used to identify opportunities for cost savings by optimizing transportation routes and improving efficiency in the supply chain.

Supply chain analytics can enhance the decision-making process by providing organizations with access to real-time data and insights. It provides greater visibility into the supply chain operations to identify patterns and make data-driven decisions. This visibility enables informed decisions on supply chain strategies, such as which suppliers to work with, what transportation modes to use, and how to optimize inventory levels. Supply chain management services help in proactively identifying potential risks and taking steps to mitigate them. Furthermore, by analyzing delivery and customer feedback data, organizations can gain a better understanding of customer preferences and make informed decisions about delivery schedules and inventory management.

Demand planning and forecasting are key to modern supply chains as it supports key operational procedures like demand-driven material resource planning (DDMRP), inbound logistics, production, financial planning, and risk assessment. Predictive analytics in supply chain can help organizations estimate the expected demand for products, plan their production schedules and procurement activities accordingly. It reduces the likelihood of overstocking or understocking, saving higher storage costs and inefficient use of resources. It also improves efficiency of supply chain operations and inventory planning by building ML models that identify shifts in consumer behaviour and enable SKU-level optimization for eCommerce.

AI-powered supply chain helps in inventory optimization by providing real-time data and insights into inventory levels and demand patterns. Analyzing data such as historical sales trends, lead times, and supplier performance can help make data-driven decisions to optimize the inventory levels. This includes setting appropriate safety stock levels, identifying slow-moving or excess inventory, and forecasting demand to ensure that inventory levels are sufficient to meet customer demand.

Increase productivity by over 30% with DataOps!

Enjoy a smoother transition to the cloud and enable better digital transformation strategies with our proven DataOps services.

Get 10% increased throughput and revenue growth!

Build a resilient supply chain with control towers and digital twins to improve operational efficiency.