Elevating Reman Through Composite Digital Twins and AI Blockchain

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Traditional

Siloed business units
Localized applications and decision-making
Siloed data
Business-unit-based machine-learning models

Bridge

Centralized data: science team
Agile development teams
Elastically scalable cloud-based data platform
APIs for sharing data internally

Hub

Real-time insights shared across business units
Business ownership of apps
Unified, modular data platform
Advanced and automated machine-learning models

Platform

App-enabled mature capabilities and insights
Distributed innovation and citizen developers
Integrated foundation of software, data, and Al with consistent architecture and integrated APIs
Advanced Al-development abilities

Native

Democratized, data-driven innovation combined with very deep Al expertise
Agile culture, end-to-end solution ownership
Customized, self-maintained tools and platform infrastructure
Optimized and highly automated machine-learning technology

Fig. 1 - The Stages of Digital Maturity¹
Democratizing Transformation. by Marco Iansiti and Satya Nadella
Harvard Business Review (May–June 2022)

Match Demand & Supply (Reverse Logistics)

TECHNOLOGY SOLUTION:

Leverage AI to optimize supply-demand alignment efficiently.

Core (Used Product) – Forecasting Availability

TECHNOLOGY SOLUTION:

Create core visibility using IoT and ”Track and Trace” options using credible blockchain and AI solutions built on a Composite Digital Twin of the ecosystem.

Lack of Information on Usage & Repair History

TECHNOLOGY SOLUTION:

Blockchain supports sustainable sourcing and visibility for materials planning and external stakeholders in the supply chain resulting in credible ESG reports.

Data Integration with All Depts & External Stakeholders

TECHNOLOGY SOLUTION:

AI/Blockchain solutions powered by the Composite Digital Twin can provide the data integration required from the current existed siloed ERP systems within companies