Supply Chain Data Analytics
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Streamline supply chain operations with advanced data analytics
Macroeconomic uncertainties, geopolitical strains, and market disruptions have strained global supply chains. As a result, companies are turning to intelligent supply chain operations equipped with predictive maintenance, real-time demand forecasting and route optimization. Sigmoid offers a comprehensive portfolio, including end-to-end services for data management to bring together siloed data sources and and AI/ML analytics that build connected supply chains and scale analytics in real-time. Our industry-specific accelerators powered by generative AI fuel predictive analytics for smarter decisions. With a collaborative and consulting-led approach, we customize data-driven decision-making for every stage — from procurement and logistics to inventory management.
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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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.
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.
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
$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
Customer testimonials
Sigmoid’s data science and data engineering teams are exceptional in understanding data and provide custom innovative solutions that directly impact the business revenue.