Supply chain planning with AI
Business Challenge
The greatest challenge for manufacturing companies is aligning the supply chain with demand. Demand forecasting is often a time-consuming task that requires extensive manual data collection.
Making decisions necessary for supply chain planning also requires a substantial amount of data collection and computational capacity.
Business objective
Manufacturing companies need accurate and up-to-date demand forecasting, along with analytical solutions that support and optimize supply planning to meet market demand with the highest profit margins.
Solution
Stratis' supply chain management solution, powered by artificial intelligence and advanced analytics, can model:
The impact of recipe/raw material changes and procurement decisions on raw material inventory, warehouse costs, and production-side raw material requirements.
Optimal procurement times and raw material storage plans to minimize raw material storage costs and initial production costs.
The production plan to minimize finished product inventory and warehouse costs while meeting demand.
The finished product storage plan and delivery schedules from the factory to meet demand.
Demand and sales plans to improve planning accuracy and supply efficiency.
Business Benefits
The business benefits achievable through the solution include:
Timely delivery and reduced stockouts
Decreased warehouse costs
Lower procurement expenses.
More profit
Our solution is also based on the most advanced, state-of-the-art technology, which enables the data used for analysis and modelling to be processed in a uniform way, facilitating collaboration between the different areas involved in supply planning.