Supply Chain Data Analytics
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Streamline supply chain operations with advanced data analytics
The need to rationalize supply chain data is essential for developing control towers, AI-powered solutions, or digital twins that can enhance decision-making capabilities. Sigmoid, a leader in supply chain analytics services, leverages its deep domain expertise to build resilient and agile supply chain functions. We enable data-driven decisions across procurement, logistics, and inventory management by harnessing AI/ML, predictive maintenance, and real-time demand forecasting. Our comprehensive services and accelerators empower enterprises to streamline their supply chain operations, reduce costs, enhance supply chain visibility, and respond swiftly to market changes, driving sustainable growth and operational excellence.
Download the ISG Provider Lens™ Supply Chain Services Report!
Streamline distribution processes, improve predictive accuracy and enable real-time, data-driven decisions with advanced analytics. Download the ISG Provider Lens™ 2024 report to get expert insights and in-depth analysis.
Data driven insights at every stage of supply chain operations
Operations management & monitoring
Leverage internal, market research data and advanced ML models that preempt market dynamics and seamlessly predict future demand at category and brand levels with high accuracy.
Real-time data analytics for end-to-end visibility across the entire supply chain network. This enhanced visibility enables proactive identification of potential disruptions, allowing for faster decision-making and risk mitigation.
Track critical metrics like on-time delivery, quality, lead times, and responsiveness to identify top performers, negotiate better terms, and mitigate supply chain risks.
Production planning & warehousing
Leverage sensor data analysis and ML-driven anomaly detection to prevent costly unplanned machine downtime and optimize maintenance schedules.
Utilize historical data, demand forecasts, and ML simulations to identify and optimize resource allocation to meet future needs and avoid potential bottlenecks.
Enhance inventory planning with ML to continuously evaluating and optimize reorder points and order quantities to consistently minimize carrying costs while ensuring that products are always in stock.
Fulfillment & logistics management
Lower fulfillment costs, improve delivery speed, and enhance the customer experience by leveraging real-time order, location, and inventory data to optimize order-picking processes and shipping strategies.
Preempt potential stockouts with ML and guide proactive replenishment strategies, ensuring products are available on the shelves when and where customers want them.
Improve carrier selection, and shipment tracking using historical and real-time data to reduce costs and maximize delivery efficiency across the supply chain.
Network and distribution management
Reduce delivery times, and enhance overall operational efficiency with data driven route planning by analyzing data on vehicle location, speed, and fuel consumption in real-time with IoT sensors.
Determine optimal replenishment quantities and distribution strategies by analyzing data from demand forecasts, inventory levels, and lead times to ensure product availability while minimizing stockouts.
Leverage GPS tracking, driver data, and vehicle diagnostics to optimize route planning and monitor driver performance for improved vehicle maintenance, and enhanced delivery efficiency.
Creating a transparent and resilient supply chain with analytics
Predictive supply chain analytics plays a critical role in helping companies minimize supply chain risks, help create granular visibility and improve inventory management. Learn more about how companies are leveraging analytics to drive sales and optimize operations.
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Integrated KPIs dashboard for enhanced supply chain performance monitoring
Inadequate visibility into supply chain processes hampers the ability to anticipate demand fluctuations, address procurement bottlenecks, and optimize cost efficiencies. Sigmoid's supply chain data analytics solutions can equip businesses with a Supply Chain Control Tower- harnessing high-quality data, supply chain teams can gain real-time visibility into key performance indicators via intuitive dashboards across all facets of the supply chain.
Why industry analysts recognize Sigmoid as a supply chain analytics leader
"Sigmoid’s investments in predictive and prescriptive analytics reflect its commitment to modernizing the data ecosystem and enhancing supply chain resilience. Through its portfolio of services, pre-built accelerators, and consultative approach, Sigmoid helps enterprises build connected supply chains and generate actionable insights for efficient planning and operations."
Manav Deep Sachdeva
Principal Analyst, ISG
Customer success stories
$30 MN+ savings in inventory handling cost with effective demand forecasting for leading cosmetics company
- 70% better accuracy for demand forecasting
- $30 MN+ savings in inventory handling costs
- Increased overall product coverage to 92%
15% increase in capacity utilization with automated Master Production Schedule for a Fortune 500 biopharma manufacturer
- Near real-time visibility into operational metrics and KPIs
- 15% increase in capacity utilization
- 98% reduction in time for schedule generation
Why Choose Sigmoid?
AI for efficiency and agility
Optimize supply chains with advanced AI models for demand forecasting, inventory management, and logistics routing.
Enhanced visibility
Achieve comprehensive end-to-end visibility and real-time insights with control towers built on scalable data foundations and strong governance.
Accelerator-led solution delivery
Utilize pre-built AI and ML models for expedited decision-making and workflow optimization, enabling faster time-to-value and proactive risk management.
Customer testimonials
Sigmoid has developed an AI tool which is dynamic in a way that will look at the data and allow us to predict what the best solution is, depending on trends within the market. These tools that we've implemented in Germany have been hugely successful and will likely be deployed in other regions across our supply chain network.
Vasco Lemos
Head of Global Logistics, Imperial Brands
Sigmoid’s data science and data engineering teams are exceptional in understanding data and provide custom innovative solutions that directly impact the business revenue.