Value Discovery: Supply Chain Management involves critical decision making on regular basis due to the 4Vs (Volume, Variety, Velocity and Verifiability) associated with the material movement and processing. For all stakeholders – including sellers, processing facility, buyers and logistics – the decision making process is fairly complex with high risk of making a wrong choice.
Our approach to Supply Chain Management Analytics is a scientific process of transforming data into insight for making better, accurate decisions. Supply Chain Management Analytics is use of information from different sources, application of Information Technology coupled with statistical analysis, quantitative methods and mathematical modeling – to gain improved insight about Supply Chain Management.
We develop Predictive Analytics based Supply Chain Management Model for each business – by organising information from numerous sources. The model involves over 200 parameters covering commodity modeling, quality, product specifications, raw material specifications, seller and buyer preferences, seasonal effect, market dynamics, logistics, inventory, shelf life, cash flow and payment terms. These analytics models are customised for individual business and client needs.
Benefits of Supply Chain Management Analytics:
- Quality and relevance in decision-making
- Cost efficiency, improving investment returns
- Dashboards providing real time data and information
- Improving competitiveness
- Synergy in financial and operational thinking
- Improving value for sellers, buyers while reducing risk
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