Efficient supply chain management with real-time monitoring | Sigmoid

Watch this case study to know how Sigmoid helped a leading food manufacturing company to optimize their logistics and supply chain management by building a centralized data lake with automated data pipelines. In this case study you will learn how Sigmoid -
1) Guided the data discovery process and identified necessary datasets to ensure accurate reporting of sales and logistics metrics
2) Developed automated pipelines to bring data from staging to the business domain layer using AWS Glue Jobs and Redshift Stored Procedures
3) Generated reports and KPIs for crucial supply chain aspects such as delivery times, product availability, order accuracy, and freight cost reconciliation
4) Optimized dashboards for easy interpretation of the data and improved user experience
Increased automation, efficiency, and consistency in the data processing workflow for the analytics platform
5) Established a single source of truth with data standardization and governance framework
6) Enabled the integration of new supply chain use cases effortlessly
Watch this video to see how Sigmoid can help you transform your logistics operations with data-driven solutions.
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