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Planning in a Box is one central solution with powerful predictive intelligence capabilities, enabling E2E visibility, control, and real-time decision-making.
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Internal ERP data combined with external market data and data from supply chain partners (freight rates etc). Reacting to global supply chain events on priority near real-time by consolidating data into a centralized source of data stored within a data warehouse leading to business transformation for the maximum benefit of your organization.
Effective decision-making requires that business leaders rethink what is important, who or what is involved, and how to use AI, data and analytics to improve decision-making. The same thought process drives the usage of Digital Twins for predictive maintenance: to make more connected, contextual, and continuous decisions.
Aligning business objectives through lead time visibility with suppliers and demand visibility with customers leading to streamlined supply chains and increased business agility. Utilize ML models to eliminate inefficiencies in Supply Chains and improve overall Supply Chain performance.
A well-designed supply chain optimization process addressing the supply chain needs, leveraging composable data and AI services for real-time intelligence
Targeted Industry Solutions
Intelligent Supply Decisions Platform
Built ML models
360 degree view
Custom UI/UX
Profitability and Customer experience
Event-based architecture
Digital Twin Process
Flexible Data Foundation
Automated Data Quality Assurance
Modern Data Lake
Data Warehouse Modernisation
End To End Data Governance
Smart Data migration
Continuous Data Integration
Existing Data Sources
Accelerated Enablement
2019 Supply Chain
Innovator CPG Award
2021 Supply Chain
Digital Transformation Award
Global Director
This project never could have been so successful without the extraordinary cooperation and relationship with Pluto7 and Google. From day one, it felt like we were one team, and that camaraderie grew, from the initial model in the Makeathon, to the 60 percent improvements we saw per run in barrelage.
Co-founder & Chief Adventurer
We would need an army of data scientists to make faster decisions on pricing and inventory levels. With Google Cloud Platform machine learning and artificial intelligence, we don’t need that. We can make much faster pricing decisions to optimize profitability and move inventory.
Customer Experience Director
With Google Cloud Platform, we can now get data from many more channels, and so we can help ensure the best omnichannel customer experiences. We’re also getting much more granular data, which means we can better understand a customer through their entire journey with us.
Accelerating Supply Chain transformation for enterprises through data foundation and AI based platform. Platform is architected to bring best of Pluto7 and Google experience in delivering Supply Chain solutions.
Existing Data Sources
DATA
FOUNDATION
Data Ingestion
Data
Governance
Data Store
Data
Orchestration
AI/ML
PLATFORM
Model Development
MLOps
Application
Platform
Capabilities
Google Cloud Supply Chain Twin
Data and End-User Security
Demo 4 Hours or Less with your Sample Data
POC & Cloud Onboarding 4 Weeks or Less
Pilot 8 Weeks or Less
Production Scale Out - 8 Weeks Plus
