Unlock the Power of SC-AI: Build a Smarter Supply Chain with AWS
SCAI, our Supply Chain Intelligence offering helps power the decision-making in your next-gen supply chain
SCAI, our Supply Chain Intelligence offering helps power the decision-making in your next-gen supply chain
Supply chains today remain vulnerable due to their inability to make timely and contextual decisions. The supply chain is an inherently connected set of processes from the supplier’s supplier to the customer’s customer. However, the supply chain processes of today are designed around multiple systems that operate in silos. Even the new solutions being implemented only perpetuate these silos making it impossible to make the supply chain more robust. The number of applications, disconnected data, multiplicity of processes, and number of stakeholders involved confounds the problem.
Tiger-SCAI, Tiger’s unique offering for Supply Chain Intelligence, helps enhance visibility, agility, and resilience. The solution achieves this by establishing an intelligence layer that powers transactional processes and systems. We do this by:
Supply chains today remain vulnerable due to their inability to make timely and contextual decisions. The supply chain is an inherently connected set of processes from the supplier’s supplier to the customer’s customer. However, the supply chain processes of today are designed around multiple systems that operate in silos. Even the new solutions being implemented only perpetuate these silos making it impossible to make the supply chain more robust. The number of applications, disconnected data, multiplicity of processes, and number of stakeholders involved confounds the problem.
Tiger-SCAI, Tiger’s unique offering for Supply Chain Intelligence, helps enhance visibility, agility, and resilience. The solution achieves this by establishing an intelligence layer that powers transactional processes and systems. We do this by: Read More
The solution streamlines data access and analysis. It offers pre-built accelerators on major clouds, providing a reliable foundation for connected data. A virtual semantic layer and knowledge graphs ensure easy access to clean, pre-processed information. The microservices architecture empowers self-service analytics, while GenAI automates KPI reporting. Finally, the human-centric approach guarantees the solution aligns perfectly with your specific decision-making needs.
It provides a set of analytical code templates that act as launching points for tackling various supply chain challenges. These challenges include forecasting, predictive maintenance, inventory management, transportation, and procurement. Beyond the templates, the system offers functionalities for automated deployment, monitoring, and improvement of the models. Additionally, the Open-IP approach empowers clients to integrate their existing analytical solutions, creating a comprehensive suite of tools tailored to their specific needs.
The solution offers a unique way to simulate real-world situations to support better decision-making. It achieves this through three key components: a synthetic data generator that creates multiple possible scenarios for testing, a flow module that mimics real-world situation flows, and finally, an insights generator called GenAI. GenAI analyzes the data outputs and automatically generates actionable insights for businesses.
Get your team members to trust and leverage ML and advanced analytics-based solutions with our ‘Art of the Possible’ workshops that include real-world examples and real-time education. This practical approach also extends to the human-centric design of the entire experience, enabling your teams to explore and participate in opportunities.
$200+ M in revenue and cost opportunities with a connected end-to-end visibility program and platform across Customer Service, Warehousing, Logistics, Manufacturing, and Sustainability, enabled by a data fabric and virtual knowledge graphs and a modular architecture.
$10 Mn projected daily inventory holding cost reduction across 4k restaurants leveraging the Inventory Order recommendations and Labor Optimization solution deployed across ~11,000 stores in the US led to an estimated cost savings of $70 Mn annually powered by day-part level accurate forecasts and machine learning algorithms
$20M in revenue uptick within 1 month of deployment leveraging Decision intelligence through advanced optimization solutions on steroids with a simulation factory to help connect the dots across these solutions. The solution is powered by synthetic data generation and generative AI
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