Supply planning made easy with AI

Absolutely.

Even without finished goods inventory, upstream planning remains crucial.

In Make-to-Order (MTO) mode, raw materials and production capacity must be managed to meet customer orders on time.

Flowlity helps you anticipate these needs.

Our forecasting algorithms integrate economic and historical data to estimate future demand, even in the context of custom orders. This allows you to prepare your supplies of critical components and smooth out the production load.

In addition, the solution offers scenario simulation capabilities: you can test the impact of a sudden increase in orders or a supplier delay on your schedule. With a supply chain optimization tool, MTO manufacturers make more data-driven decisions, adjust their capacity more precisely, and become more responsive to fluctuations.

In short, Flowlity secures your MTO supply chain by avoiding component shortages and reducing lead times, while limiting unnecessary surplus.

‍Yes. Flowlity is designed to support both Make-to-Stock (MTS) and Make-to-Order (MTO) production models.

In Make-to-Stock, Flowlity uses its forecasting algorithms to project future demand and recommend optimal stock levels for each item. It also calculates dynamic safety stocks to maintain high service levels while minimizing excess inventory.

In Make-to-Order, where production or procurement is triggered only by confirmed customer orders, Flowlity adapts by using firm orders as the main demand input. The system then focuses on optimizing the availability of components, raw materials, or intermediates required to deliver these orders on time, ensuring upstream supply readiness.

Flowlity can also manage hybrid workflows, where some SKUs follow an MTS logic and others an MTO logic—common in both manufacturing and distribution. With flexible configuration, you can define the planning mode by item or product family, and Flowlity automatically adjusts its behavior accordingly.

In summary: whether you operate on stock or on demand, Flowlity ensures optimal planning of resources and inventory, fully aligned with your operational model.

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Supply chain planning involves coordinating all supply chain activities (demand, supply, production, etc.) to meet customer demand efficiently. It aims to balance demand and supply, forecast future needs, and optimize resources to improve customer service while reducing costs.

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Production planning consists of organizing and scheduling manufacturing activities to meet the required levels of finished goods. It takes into account demand forecasts, plant capacity, raw material availability, and resources such as labor and machinery. Effective production planning ensures that the right products are made at the right time, optimizing resource utilization and minimizing bottlenecks.

Supply planning ensures that raw materials and procured products are available in the right quantities and at the right time to meet demand. It includes planning purchase orders to suppliers, managing lead times, and optimizing inventory levels for raw materials or components. In short, supply planning links forecasted demand with purchasing and replenishment activities to prevent shortages while minimizing excess stock.

Yes. Flowlity fully incorporates your operational constraints into its replenishment calculations. You can configure MOQs (Minimum Order Quantities), lot sizes, purchasing units, and even full-truck-load constraints. The planning engine ensures that all these rules are respected in the order proposals.

For example, if you have an MOQ of 100 units or a truck that only departs when full, Flowlity will apply these constraints and group requirements accordingly. The Order module aggregates needs by supplier and ensures that conditions like MOQs, lot multiples, or truck loading thresholds are correctly applied.

As a result, the generated supply orders are realistic, ready to execute, and aligned with your actual logistics constraints. By avoiding split or suboptimal orders, you optimize both transportation and storage costs.