Supply Chain Data Analytics
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Streamline supply chain operations with advanced data 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 data analytics in supply chain management 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 integrated supply chain operations
Demand and Supply Planning
Improve efficiency of supply chain operations and inventory planning by building ML models that identify shifts in consumer behaviour and enable SKU-level optimization for e-commerce.
Supply chain analytics solutions align sales and production operations to ensure better inventory control, efficient production scheduling, improved on-shelf availability, while minimizing stockouts and overstock situations.
Minimize stockouts, maintain optimal inventory levels and reduce excess inventory by leveraging end-to-end supply chain analytics services.
Production and Inventory Planning
Build automated preventive maintenance models for efficient equipment upkeep. Proactive maintenance powered by supply chain analytics solutions mitigates the risk of equipment breakdown and significantly reduces downtime.
Data analytics in supply chain, real-time visibility, and ML models for procurement analysis enable precise material requirement calculations, efficient supplier collaboration, and demand forecasting.
ML algorithms can continuously evaluate and optimize reorder points and order quantities to minimize carrying costs while ensuring that products are always in stock.
Real-time Operations and Monitoring
Harnesses the power of supply chain management analytics, predictive modeling, and AI-driven algorithms for real-time visibility into every aspect of supply chain processes such as procurement, logistics, and inventory planning.
Minimize transportation costs, reduce delivery times, and enhance overall operational efficiency by analyzing data about vehicle location, speed, and fuel consumption in real-time with IoT sensors.
Improve quality control, align production with demand, and manage inventory effectively by implementing ML models with features such as demand forecasting, real-time monitoring, and root cause analysis.
Supply chain management KPIs dashboard
Low visibility into supply chain processes makes it difficult to predict demand fluctuations, manage procurement bottlenecks, and track inefficient logistics operations. A Supply Chain Control Tower is the ultimate tool designed to empower businesses with real-time visibility into every aspect of supply chain processes such as procurement, logistics, and inventory planning. It harnesses the power of supply chain data analytics, predictive modeling, and AI-driven algorithms to optimize operations, enhance decision-making, and mitigate risks.
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.
Download whitepaperCustomer 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.