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
Profitability and Customer experience
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
2019 Supply Chain
Innovator CPG Award
2021 Supply Chain
Digital Transformation Award
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.
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