Achieve resilience with AI Supply Chain planning software

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 is the discipline that turns future customer needs into an executable operational plan while keeping cost, service, and working capital under control. Its goal is straightforward to state and hard to execute: the right products, in the right quantities, at the right place, at the right time.

Supply chain planning involves coordinating demand, supply, and production activities to meet customer needs efficiently while minimizing costs. It encompasses demand forecasting, inventory management, production scheduling, and logistics optimization to ensure the right products are available at the right time and place.

When these disciplines are integrated rather than run as silos, planning becomes a competitive advantage rather than a cost center. Modern platforms add an AI layer that ties forecasting, inventory optimization, and supply planning together in a single decision loop, so trade-offs between service level, inventory, and cost are made explicitly — not absorbed implicitly at each functional boundary.

Production planning is the process of organizing and scheduling manufacturing activities by balancing demand forecasts, plant capacity, material availability, and delivery deadlines. It sits between demand planning and shop-floor execution: it translates what customers are expected to need into a feasible plan of what to produce, when, where, and in what quantities.

The goal is to run production efficiently — meeting customer orders on time, optimizing the use of machines and labor, and minimizing scrap, changeovers, and inventory buildup.

Modern Production Planning software adds an AI layer on top of traditional MRP logic, taking into account demand variability and capacity constraints simultaneously, so plans remain feasible even when the market is volatile. This helps manufacturers avoid the repeated replanning cycles that plague spreadsheet-based approaches.

Supply Planning ensures that raw materials, components, and purchased products are available in the right quantities and at the right time to meet the demand defined by the forecasting and inventory plans. It is the discipline that turns "what we will need" into "what we need to order, from whom, and when".

In practice, Supply Planning covers supplier management, purchase order scheduling, allocation across plants and warehouses, and lead time optimization. The core trade-off it manages is between service levels and cost efficiency: too little supply and you face stockouts; too much and you tie up working capital.

AI-driven Supply Planning tools like Flowlity add probabilistic inventory targets and dynamic lead time modeling, so supply decisions adapt automatically to variability instead of relying on static reorder rules.

Yes. Flowlity fully incorporates your operational constraints into its replenishment calculations. You can configure minimum order quantities (MOQ), lot sizes, purchase units, and even full-truckload constraints. The planning engine ensures that all these rules are respected in order proposals.

For example, if you have a minimum order of 100 units or a truck that only leaves when full, Flowlity applies these constraints and groups requirements accordingly. The Orders module aggregates requirements by supplier and ensures that conditions such as minimum quantities, lot multiples, or truck-load thresholds are correctly enforced.

As a result, generated supply orders are realistic, ready for execution, and aligned with your real logistics constraints. By avoiding fragmented or suboptimal orders, you optimize transport and storage costs — a critical lever for distributors and manufacturers managing high-volume inbound flows across multiple suppliers.

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