The INNOTOCK AI Difference
INNOTOCK AI has been created to address the following needs in Supply Chain Planning
REAL WORLD APPROACH
Use real-world volatility, uncertainty, and complexity when defining supply chain parameters and planning process.
BETTER SCM MODELS
Use complex mathematical models that are not used by main stream SCM books but are necessary to make better decisions to reduce supply chain costs.
DYNAMIC CALCULATIONS
Accept the fact that all calculations change every time a planning model is run, and that there is a need to build a dynamic way to incorporate those changes.
SUPPLEMENT ERP SHORTCUTS
Accept the fact that ERP systems cannot model and build supply plans based on real-world parameters, and they always simplify the models in order to be able to calculate a plan that is usually suboptimal
INNOTOCK AI
BUSINESS
PRINCIPLES
- Sensing and Modeling Supply Chain Variability and Volatility.
- Calculating and Proposing Cost-optimal “Plans for Every Part”,
- Optimizing Service Levels and Fill Rates (OTIF, Quantity delivered, …)
- Simplifying and Automating Updates of your Planning Master Data.
- Exporting All Planning Parameters needed by ERP systems.
- Providing Total Cost of Ownership (COGS + Supply Chain Costs).
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