Optimize Supply Chain Operations with Dash Enterprise
Customer showcase featuring NISCI
February 28, 10am EST
With rising transportation costs, efficient supply chain operations are becoming increasingly essential. Decisions around warehouse locations, sourcing, and truck routing can determine a business’s bottom line. To tackle these optimization challenges, organizations are turning to machine learning and advanced data analytics.
As part of MIT’s Global SCALE network, the Ningbo Institute for Supply Chain Innovation (NISCI) is at the center of modern supply chain research. The institute wanted to increase trust and transparency between its clients, industry partners, corporations, and government entities by coupling scenario planning algorithms with data visualization. After initial trials with Matplotlib, the team quickly realized they needed more interactivity and support for production-grade data applications, leading them to Dash Enterprise.
Join this upcoming customer spotlight to learn how NISCI improved cross-organizational decision-making for its clients by:
- Building an LCL (Less than Container Load) loading application that enables rapid optimization initiation in 3 seconds and improved utilization rates by more than 15%
- Developing a multi-channel distribution design application that improved next-day delivery capabilities by more than 12%
- Adding cross-device compatibility and decreasing development time by 85%
- Streamlining data workflows without needing a dedicated software development or IT team