Upon development of the supply chain traceability, convergence of technologies such as Big Data Analytics and Artificial Intelligence can be utilised to understand the environmental landscape within a predefined radius of the supply chain network, enabling companies to prioritise key business areas and better manage industry participations while maintaining good sustainable practices.
MIMOS’ traceability solution can provide manufacturers with substantial information visibility throughout the supply chain for better management of products, operational processes and customer satisfaction.
The platform is able to support supply chains in agro-based products, and also offers risk mitigation management framework to identify high-risk areas in the supply chain. It integrates with environmental protection agencies e.g. WWF and Global Forest Watch to ensure responsible sourcing of agro-based products.
Features
- Full upstream-to-downstream traceability based on physical tracking and tracing of information flow and monetary flow
- Analytical hierarchy process for performing risk-ranking generation based on risk assessment collected from public domain data
- Simulation capability includes data simulation and visualisation for exploring interrelated ‘what-if’ scenarios of supply chain network when certain parameters are taken out or added
- Sentiment analysis for identifying customer sentiment toward products, services or brands
Technology Benefits
- SReal-time tracking
- Interoperability
- Simulation capability
- Sentiment analysis
Future Plan
- MIMOS Supply Chain Traceability solution will provide digital technology support to end-to-end supply chain for visibility and transparency.
- The solution will facilitate industry participation in complying with international standards to generate higher income and bring better value for stakeholders while keeping sustainability best practices at the core of company ethos.
- Ultimately, the solution leads towards digital inclusion for all stakeholders of the supply chain ecosystem
