Grydd, the leading provider of AI-powered supply chain and logistics software, unveiled major upgrades to their innovative ecosystem that will transform how goods move globally.
Grydd’s introducing an advanced suite of AI applications including Demand Planning AI, Route Prediction AI, Cargo Optimization AI, Sustainability AI and Collaboration Hub AI. Leveraging the latest machine learning techniques alongside massive shipment data, these new solutions promise unprecedented visibility, control for users.
Each module is unique in function but highly beneficial to the user:
- Demand Planning: AI draws upon historical sales trends, events and external factors to generate highly accurate 30-90 day demand forecasts.
- Route Prediction: As expected AI evaluates complex variables to propose the fastest, lowest cost routes for each load based on real-time conditions.
- Data Quality Monitoring: AI enables monitoring of databases for unusual or faulty behavior increasing the capabilities of the ecosystem.
- Cargo Optimization: AI employs deep reinforcement learning to maximize truck capacity and container utilization, reducing waste across all modes of transport.
- Sustainability: AI provides carbon impact estimates and alternative “green routes,” empowering organizations to lower emissions in line with ESG goals.
Through the Collaboration Hub AI, partners in the extended supply chain can now leverage shared intelligence to collaboratively solve issues, replan as needed and track performance metrics on a single dashboard.
“We’re thrilled to offer this quantum leap for support chain visibility, control and sustainability through our new Grydd AI suite,” said Grydd CEO & Founder DanAcosta. “The results will utterly transform supply chain planning and operations for companies worldwide.”
Grydd AI is setting a new standard for what an intelligent supply chain OS can achieve. Through a shared architecture that blends agent-based learning with deep neural networks, customers can finally leverage one platform to coordinate every element of planning, execution and performance tracking across incredibly complex global logistics ecosystems.
SOURCE: PRNewswire