Within an extended supply chain, there are numerous ways for a product to get from the supplier base to the end customer. Many flow-paths exist through suppliers, production facilities, assembly sites, distribution centers, cross docks and final mile transportation options. Often these flow-paths are not evaluated in an end-to-end manner as planners work in a siloed area of expertise and lack the ability to evaluate the impact of their decisions on the wider supply chain.
The llama.ai platform provides access to a powerful network modeling studio, allowing you to determine your true cost to serve down to the product or SKU level. Computing power and solvers take your capacities and costs into consideration to recommend optimal time-phased sourcing rules, enabling you to achieve the lowest total cost to serve while simultaneously meeting specific service level agreements.
- Generate time-phased sourcing matrices to load into source ERP systems to drive cost savings on an operational basis
- Evaluate lines of business or customers within a line of business where sales prices are too low to maintain profitability margin targets given your supply chain costs
- Spin up parallel flow-path scenarios in the cloud to enable massive scale in scenarios
- Compare KPI scenarios to drive comparisons