Optimisation des Stocks & Planification
Supply Chain par l’IA
Flowlity is an all-in-one solution covering all supply chain planning needs, from forecasting to operational, with the help of artificial intelligence.
Flowlity stands out for its algorithmic power (probabilistic forecasts, multi-echelon optimization) and its ease of use. It automates up to 95% of planning activities while allowing the planner to retain control over important decisions.
Supply Chain managers appreciate this approach, which combines time savings (reduced manual tasks) and improved performance (stock reduced by up to 60% in some cases while improving the service rate).
For more details on each module, we can provide you with a dedicated presentation – do not hesitate to contact us to find out more.
Our stock sizing and ordering algorithm takes into account the following parameters:
In short, the recommended quantities are the result of a multi-parameter optimization integrating your service objectives, anticipated demand and all your logistics and supplier constraints.
Flowlity and DDMRP (Demand Driven MRP) share a common goal:
To better position buffer stocks to absorb uncertainties and avoid the bullwhip effect in the supply chain.
DDMRP is a deterministic method that defines stock buffers at fixed decoupling points and adjusts these buffers mainly according to predefined rules (green-yellow-red colors based on consumption, for example). This works well for products with relatively stable demand, but can show its limitations on products with high volume volatility.
Flowlity, on the other hand, adopts a dynamic and probabilistic approach: the solution continuously calculates optimized safety stocks based on updated consumption forecasts and uncertainty assessment via AI.
In practice, Flowlity will dynamically adjust your buffer stocks based on detected risks (sudden increase in demand, supplier delays) rather than sticking to a fixed buffer size until the next review.
This is a “flow-driven” approach where buffers are recalculated frequently thanks to forecasts and early detection of variations, whereas classic DDMRP often provides for a more spaced periodic review. Note that Flowlity also identifies critical decoupling points in the chain (as recommended by DDMRP) in order to decouple demand and supply in the right places, but:
The difference is that these points are managed in a more intelligent and adaptable way thanks to machine learning.
Companies that find DDMRP too rigid or manual will appreciate Flowlity's ability to automate the recalculation of parameters (buffers, replenishments) on a continuous basis.
Moreover, according to Flowlity, pure DDMRP "finds its limits" on highly volatile products - this is precisely where Flowlity's AI approach makes the difference by better absorbing uncertainty.
Yes, we can support the ABC/XYZ classification of your items.
ABC analysis classifies SKUs by importance (e.g., A = 20% of products representing 80% of the value), while XYZ analysis classifies them according to demand regularity (e.g., X = regular demand, Z = highly fluctuating demand). Combining the two (9-box matrix) yields categories such as AX (critical products, stable demand) or CZ (low-value products, erratic demand).
For example, apply finer replenishment frequencies to A items with stable demand, and more agile methods for highly volatile C items. In practice, our calculation engine uses a lot of data (value, variability, lead times, etc.) to automatically prioritize SKUs, which amounts to dynamic classification.
We also provide reports that highlight items by class, so you can fine-tune your parameters (higher target service level for A, etc.). This approach helps you "prioritize resources, optimize inventory levels, and improve forecast accuracy" for each product category.
In short, Flowlity integrates ABC/XYZ principles into optimization to treat strategic and less critical products differently, for better overall inventory control.
Flowlity offers a simulation module that acts as a true digital twin of your supply chain. You can test different scenarios by adjusting, for example, service levels, supply parameters, or the composition of your product portfolio. The idea is to be able to assess the impact of strategic decisions or market changes without risk, before implementing them.
You can simulate what would happen if you increased the safety stock level on a category A, or if a key supplier extended its delivery time.
Our solution thus allows you to simulate the inventory and purchasing strategy by adjusting service levels, or even to test the parameters of supplier agreements (MOQ, delivery frequencies). Thanks to this scenario analysis, you can make your decisions (stock vs. service arbitrations, investment choices, etc.) with full knowledge of the facts.
You can visualize the effect of sales growth, a supply disruption or a product launch on the entire chain, and thus be proactive in your action plans.
Yes, Flowlity is suitable for both make-to-stock (MTS) and make-to-order (MTO) models.
In Make-to-Stock mode, the solution uses its forecasting algorithms to project future demand and recommend optimal stock levels, as it would for any stocked product. For example, it calculates dynamic safety stocks to ensure a high level of service while minimizing dormant stock.
In Make-to-Order mode, where production or procurement is triggered only upon customer order, Flowlity adapts by using firm orders as demand input. In this case, the tool will primarily optimize the components, raw materials, or intermediate products needed to fulfill these orders on time, ensuring the availability of upstream supplies.
Flowlity can manage hybrid workflows where some references are in MTS (stock built on forecast) and others in MTO (produced or purchased on demand), which is common in manufacturing and distribution. With flexible settings, you can define the appropriate planning mode per item or product family, and Flowlity will adjust its behavior accordingly.
In short, whether you need to plan by stock or by order, the tool ensures optimal management of resources and inventory, aligning with your operational model.
Flowlity provides reliable, up-to-date data that can fuel your S&OP process and facilitate decision-making during meetings between sales, operations, and management.
The platform provides a consolidated view of forecast demand, projected inventory levels, and supply needs, allowing for a single, quantified reference during S&OP stages (demand review, supply review, etc.).
Flowlity integrates a real-time management module similar to IBP (Integrated Business Planning): ready-to-use dashboards, indicators, and reports provide instant visibility into the health of the supply chain. This helps align operations with strategic objectives—for example, by simulating different scenarios (surge in demand, major supplier delays) to assess their impact on the supply plan and finances. Flowlity doesn't replace your existing S&OP processes, but complements them by adding a layer of analysis through AI and simulation.
You can test hypotheses in Flowlity (product launch, promotional campaign, logistics incident) and then discuss the results in S&OP meetings with confidence. Thanks to Flowlity, S&OP becomes more responsive and accurate, which is an asset for medium to large companies facing volatile demand.
Yes, the Flowlity solution takes your operational constraints into account in its replenishment calculations.
Specifically, you can set MOQs (Minimum Order Quantity), batch sizes, purchasing units, and even full truckload constraints.
The planning engine will verify that all these constraints are respected in order proposals. For example, if you have an MOQ of 100 units or a truck that only leaves when full, Flowlity will integrate these rules and group requirements accordingly.
Flowlity's Order module allows you to group requirements by supplier and ensure that conditions such as MOQs, batch multiples, or truckload are properly applied.
This ensures that the supply orders generated are directly usable, realistic, and aligned with your actual logistics constraints. By reducing split or suboptimal orders, you optimize your transportation and storage costs.
New product planning is challenging because there is little or no sales history.
Flowlity addresses this challenge by combining human expertise and artificial intelligence.
The solution allows the use of analogous (substitute) products or market data to build an initial demand forecast for a new product.
Furthermore, Flowlity provides forecasts even for references with very little history by relying on intelligent algorithms capable of generating trends from partial information.
Concretely, the planner can manually adjust the initial demand assumptions for a new product in Flowlity (for example, based on the launch of a similar product), then the AI refines these forecasts on the fly as soon as the first actual sales data arrives.
This hybrid approach ensures that new product launches are factored into the supply plan, avoiding stockouts during launch while avoiding overstocking a product whose success is still uncertain.
Flowlity therefore ensures agile planning of new products, highly appreciated in retail as well as in B2B trading where range renewals are frequent.
Flowlity was designed as a collaborative platform connecting the various links in the supply chain, particularly between a client (manufacturer, distributor) and its suppliers.
In concrete terms, the solution can act as a trusted third party where suppliers and customers share information transparently.
For example, suppliers can access (via a portal or dedicated interface) consumption forecasts or supply needs that concern them, and thus better anticipate upcoming orders. Similarly, Flowlity allows suppliers to track performance (on-time performance, reliability) and trigger alerts in the event of potential delays.
This shared visibility helps quickly adjust plans: if a supplier reports a capacity constraint or a longer lead time, Flowlity readjusts recommendations to avoid a disruption downstream.
In addition, the platform offers the possibility of collaborating on supply plans: online validation of order proposals, exchange of comments, jointly approved modifications, etc. This eliminates the need for multiple email and Excel file exchanges and makes supplier-customer relationships more reliable. For both B2B distribution companies and manufacturers, this improved collaboration means fewer unforeseen events and a more agile supply chain.
Because Flowlity is a cloud-based solution, your partners can easily connect—under the control of your administrators—to share this data.
Contact us to learn how to implement supplier collaboration on Flowlity in your context.
First, in SaaS mode, you don't have to finance heavy infrastructure, a simple subscription and light integration are sufficient.
Second, concrete results generally allow you to quickly justify the investment.
Saint-Gobain estimated a return on investment in less than 18 months after observing a 27.6% drop in stockouts and an 11% reduction in inventory thanks to Flowlity. Similarly, La Redoute reduced its packaging inventory by nearly 50% on average after implementation—significant savings.
Our teams can handle a large part of the integration (ERP data extraction, configuration, etc.), which frees up your technicians. For example, we can start with a Proof of Concept using your existing data: during one project, a client tested our tool on 6 months of supplier history and was convinced by the reliability of the forecasts and the inventory reduction achieved in a few weeks.
In short, even with a tight budget and busy teams, you can initiate the project on a small scale and gradually ramp up. The rapid gains in performance (improved customer service, freed up time for suppliers, etc.) will make the investment profitable and appreciable from the first months.
During a Flowlity project, your teams are obviously involved, but Flowlity is committed to minimizing the internal workload thanks to its turnkey support.
In short, your teams bring the business knowledge of your company, and Flowlity brings the tool and supply chain expertise. The project is a close collaboration, but one that's calibrated so your employees can continue to perform their daily tasks at the same time. Many of our clients are reassured by the light internal footprint: no need for a full-time army; just a few key people are enough to successfully implement the project. (Our methodology includes short, effective workshops so as not to monopolize your resources—we'll explain all this to you in detail at the project launch.)
Yes, Flowlity offers a POC (Proof of Concept) as part of its commercial approach.
We understand that it is important for a company to concretely validate the benefits of the solution before fully committing.
A Flowlity POC generally takes place over a few weeks and allows us to test the solution on a small but representative scope. For example, we can choose a selection of items or a product category, in one or two pilot warehouses, with a few suppliers, in order to simulate the complete operation (from forecasting to procurement recommendations).
If you are interested in a POC, contact us, we can define a scenario adapted to your specific challenges and propose a rapid action plan.
The duration of a Flowlity project can vary depending on the scope and complexity of your supply chain, but on average, we find that projects are much shorter than traditional supply chain tool implementations.
Typically, an initial Flowlity deployment on a first scope (for example, a product family or a pilot warehouse) takes between 8 and 12 weeks. During this period, the main steps include: project scoping and objective definition (1-2 weeks), data integration from your ERP into Flowlity and initial testing (4-6 weeks), parameter adjustments and user acceptance (2-3 weeks), and then go-live on the defined scope.
For a global deployment (multi-warehouses, multi-subsidiary), the project can extend over a few additional months, often divided into waves. For example, after a successful initial pilot implementation, other product categories or other sites are rolled out, which can bring the overall project to 4 to 6 months in total.
This remains very fast compared to traditional APS solutions.
We deliver concrete results quickly, then we scale up. This way, your teams quickly see the benefits (for example, a reduction in inventory or better availability on the pilot scope), which creates buy-in to continue.
Note that thanks to Flowlity's SaaS architecture, production launches are simplified (no software deployment on your servers, just a connection to the data). Our experience shows that even large companies (several hundred thousand references) have been able to have an initial set of operational Flowlity recommendations in around 3 months.
Of course, each project has its specificities: if your data requires significant cleaning work or if you decide on a very broad functional scope from the outset, this can extend the duration a little. But in all cases, Flowlity's objective is to deliver value as soon as possible.
A concrete example: Sport 2000, a retailer, started its collaboration with Flowlity on an S&OP angle and saw results within a few months. Similarly, other industrial clients were able to see rapid gains. We can provide you with detailed timelines and examples during a personalized exchange.
Feedback shows significant gains thanks to Flowlity, both in forecast accuracy and in inventory reduction and service rate improvement.
For example, La Redoute was able to reduce its average inventory of packaging consumables by nearly 50% in one year of use. On the forecasting side, Flowlity continuously improves demand reliability.
During a deployment at Saint-Gobain, consumption forecast reliability reached 95.4% (measured by comparing it to actual sales at 3 months) and stockouts decreased by 27.6%, while lowering inventory levels by 11% compared to previous practice. These operational results translate into a rapid ROI:
Other clients, such as the Lemoine Group, aimed to reduce their inventory by €1 million and achieved this goal faster than expected, largely thanks to Flowlity. In addition to the figures, the organizational benefits are worth noting: planners save time (fewer emergencies to manage, more reliable planning), which allows them to focus on higher value-added tasks. The service rate improves, increasing customer satisfaction and revenue (fewer sales lost due to stockouts).
Indicators such as inventory turnover, OTIF (On Time In Full), and service level are seeing significant improvement thanks to the increased reliability of forecasts and the continuous optimization of supplies.
Two out of three companies still use Excel in their supply chain, but this reliance results in manual and error-prone processes.
An ERP manages daily transactions, while Flowlity provides dedicated planning intelligence: automating 95% of repetitive tasks, detecting anomalies, and proactively adjusting them. With Flowlity's AI, your historical and MRP data is converted into probabilistic forecasts and optimized recommendations.
In practical terms, this means fewer Excel sheets to update and more informed decisions.
By adopting a specialized tool like Flowlity, you move from reactive management to proactive optimization of your supply chain, resulting in reduced inventories and a better service level.
Yes: calendars (working/closing days of suppliers) can be configured, and the start/end of life dates of the products are taken into account to enable or disable supply recommendations for these references.
These technical parameters are configured once in the system and are then automatically taken into account by the algorithm when calculating needs.
A newly deployed ERP manages your master data (orders, inventory, etc.), and Flowlity plugs into it to provide a layer of intelligent optimization. Our solution integrates with existing ERPs to enrich planning: for example, it uses the ERP's MRP data and cross-references it with predictive algorithms to offer dynamic inventory and alerts in case of risk.
Flowlity is a cloud platform, connected via API, which allows for rapid deployment without disrupting your existing systems.
In practice, our customers find that Flowlity helps them "regain control over ERP parameters", for example by optimizing reorder points or stock security levels. Even if your ERP is new, you can therefore accelerate its ROI by adding Flowlity to reduce excess inventory and avoid stockouts.
Flowlity seamlessly interfaces with your environment – “integrates with ERPs to reduce disruptions” – without excessive workload for your IT teams.
Yes. Flowlity is a user-friendly SaaS solution that doesn't require a large IT team to run.
The tool has been designed to be easy to set up and simple to use: our customers confirm it is "user-friendly, easy to implement" and "very easy to use", while providing effective inventory control.
For a small supply chain team, this means you can be up and running quickly, without lengthy training or advanced technical skills.
What's more, Flowlity isn't a black box: the results are understandable by business users, allowing your team to make better decisions independently.
In short, even a small team can benefit from advanced planning without increasing its workload, and focus on what matters most – analysis and optimization – while Flowlity automates the tedious tasks.
A one-time implementation fee is added upon contract initiation.
The subscription price is determined by the number of SKUs or inventory value, depending on the nature of the customer's business.
Flowlity is an all-in-one solution covering all Supply Chain planning needs, from forecasting to operational, with the help of artificial intelligence.
Among its main features are:
It automates up to 95% of planning activities while letting the planner keep control of important decisions. Supply Chain managers appreciate this approach which combines time savings (reduced manual tasks) and better performance (stock reduced by up to -60% in some cases while improving the service rate). (For more details on each module, we can provide you with a dedicated presentation – do not hesitate to contact us to find out more.)
Tech
As a modern cloud-native application, Flowlity is highly scalable and can handle large volumes of data without performance loss.
We support mid-sized companies with a few hundred SKUs as well as large groups managing millions of references and complex logistics networks. For example, at a multi-brand distributor, one of the configurations processed included "more than 1.2M SKUs." This complexity was successfully modeled by Flowlity. Our customers such as Sport 2000, EDF, and Saint-Gobain use Flowlity across large scopes, which illustrates its robustness.
In terms of volume, the platform can absorb years of sales history, hundreds of thousands of order lines, and daily stock updates without any problems. The cloud architecture (hosted on secure servers) dynamically allocates the necessary resources based on the load: distributed computing, optimized database, etc. So, even if your item or database doubles in size, the solution adapts. In addition, the calculation frequency is adjustable: forecasts and plans can be recalculated daily, or even in real time for certain indicators, without clogging the system. In short, whether you have 100 SKUs or 10M SKUs, Flowlity can manage them with the same efficiency.
Scalability has been proven by our production customers, and we continue to optimize performance to process ever more data (for example, integrating IoT data, real-time logistics flows, etc. in the future). So you can evolve with confidence, the solution will support the growth of your business in volume and complexity.
If this FAQ has not covered all the points you would like to clarify, do not hesitate to contact us.
Our teams will be happy to answer your specific questions, provide you with concrete use cases, or support you in your thinking about optimizing your Supply Chain.
Flowlity attaches great importance to support and change management, because implementing a new planning tool is above all a human project.
In short, the implementation of Flowlity is a structured, collaborative, and results-oriented process, where each step aims to ensure that the tool integrates perfectly into your processes and that your teams adopt it enthusiastically. (Customer testimonials are available to illustrate our project approach and the successes achieved – do not hesitate to consult them or ask us for an introduction.)
Yes – it’s even one of Flowlity’s founding principles: providing AI that can be explained and understood by the humans who use it.
We know that in the Supply Chain, planners and managers need to trust a tool’s recommendations, and this requires understanding the “why.”
Flowlity was therefore designed not to be a black box, but rather an educational tool as well as a decision-making tool.
In the Flowlity interface, each forecast and each recommendation is accompanied by explanatory elements. For example, if Flowlity recommends ordering 500 units of item X for next month, the user sees the breakdown of the expected demand: seasonality, trend, promotional effect, etc., depending on the case.
The tool also displays a confidence interval around the forecast (for example: central forecast 500, with a low scenario at 450 and a high scenario at 560), which gives an idea of the uncertainty. This allows for the justification of calculated safety stocks. Furthermore, Flowlity provides alerts and justifications. For example: "Risk of shortage in 15 days on this product because recent demand exceeds forecasts by 20%." Or: "Inventory reduction proposed on this item, because its turnover rate has decreased over the last 3 months." Technically, Flowlity's AI uses machine learning models (including deep learning), but the complexity is hidden behind a simple interface.
Ensemble learning techniques are also favored, which smooth out predictions and avoid aberrations. And above all, Flowlity sees itself as an assistant: the user always has the option to review a decision. If they don't agree with a recommendation, they can modify it (for example, order a little more or a little less), and the system will take this feedback into account to adjust in the future. It's a virtuous learning loop where the human retains final control. During training, we insist that users understand how the tool works.
Without revealing all the algorithmic details, we explain the main principles (probabilistic forecasting, dynamic buffer calculation, etc.). Very quickly, planners see that the tool reacts as they would in many cases, but better because it reacts more quickly and integrates more data. For example, the tool can detect correlations between products that humans would not have seen – but it will display “30% increase in anticipated demand for product A because it is correlated with that of product B on promotion”. This kind of explanation makes AI tangible.
We publish white papers and articles on our approach (e.g., use of probabilistic vs. deterministic forecasts). Our goal is not to mystify the algorithm, but to make the supply chain smarter collectively. Flowlity users become better at their jobs because they learn from AI feedback. Many report that after a few months, they have a better understanding of their supply chain dynamics (seasonality, impact of promotions, supplier behavior) thanks to the visibility the tool provides.
In short, Flowlity's AI is transparent, explainable, and human-friendly. It's a companion that informs your decisions instead of arbitrarily replacing them. This philosophy increases trust and adoption of the solution within Supply Chain teams. (If you'd like to see in practice how Flowlity presents its recommendations and what explanations are provided, we invite you to a demo where you can judge the tool's clarity for yourself.)
Yes, Flowlity is fully GDPR (General Data Protection Regulation) compliant and attaches paramount importance to the security and confidentiality of its customers' data.
Whether it's GDPR compliance, technical security, or contractual confidentiality, everything is in place to ensure your information is treated with the highest level of protection. (We can provide you with our complete security and GDPR compliance documentation during our discussions, and involve our security experts to answer any specific questions your CIO or DPO may have.)
The solution is available in French, English, Spanish and Russian (soon in German, Chinese and Japanese).
Flowlity's integration with your existing information system is designed to be simple and fast.
Flowlity is ERP-agnostic, which means it can connect to any type of ERP or database, whether SAP, Odoo, Microsoft Dynamics 365 (AX/NAV), Sage, or even more specific systems.
Many of our customers are operational very quickly because we reuse their existing extractions or standard connectors.
Flowlity supports your IT department during this phase and provides complete documentation of its APIs and formats. Furthermore, Flowlity's platform is highly available and designed to handle large volumes of data, ensuring that even file-based integrations of several thousand lines run smoothly.
Finally, from an ERP perspective, Flowlity is non-intrusive: it acts as an overlay without requiring any major changes to your ERP processes. For example, if you use SAP, you can continue to create your purchase orders in SAP, simply because they will have been calculated by Flowlity upstream.
During the pre-project phases, our technical experts will be able to assess with your team the best integration strategy for your environment to ensure a smooth transition.
B2Wise is a DDMRP-native tool following the methodology strictly. Flowlity offers a more flexible, AI-enhanced version:
In short: B2Wise is ideal for purist DDMRP implementations; Flowlity brings flexibility, AI, and broader coverage for companies seeking adaptive, scalable planning.
Flowlity differs in multiple ways:
Ideal For: Organizations looking for faster ROI, ease of use, and advanced automation in a modern planning environment.
Both Flowlity and Lokad are data-driven, but they diverge fundamentally:
Summary: Lokad is a powerful, technical platform for expert users. Flowlity is a plug-and-play AI tool that empowers planners directly without needing a data science team.
Colibri focuses on tactical S&OP and demand planning, often at aggregated levels (family/category), while Flowlity:
In short: Colibri is ideal for setting up a lightweight S&OP process; Flowlity goes further by aligning high-level planning with real-time execution.
Relex is a powerful platform with deep capabilities in the retail sector, particularly for merchandising, store assortment, and promotions.
However, for B2B distributors or midsize wholesalers:
Conclusion: Relex is great for large-scale retail chains; Flowlity is purpose-built for agile, collaborative B2B planning with rapid ROI.
Slimstock is a well-established vendor known for its Slim4 solution, widely used across Europe for inventory optimization. It offers solid statistical forecasting features, but its approach remains grounded in traditional methods (manual rules, static safety stocks).
Flowlity, by contrast, is a next-generation AI-native solution that differs in several ways:
In short: Slim4 is proven for traditional approaches, but Flowlity offers a more innovative, automated, and collaborative experience for digitally mature organizations.
Many solutions are available on the market, and can be sorted out by size, key industry served, type of solution or even technology.
We find more relevent to focus on tech matters as performance, expected ROIs and integration conditions vary accordingly.
Flowlity stands out for its technological expertise, high level of automation and optimization, seamless integration, and fast, measurable performance.
The global research and advisory firm Gartner has named Flowlity a Cool Vendor 2025, highlighting its innovative and impactful approach, capable of transforming current industry practices, particularly through the use of artificial intelligence.
In addition, Flowlity is the only player on the market to offer a dedicated module – Tactical – designed to determine the best strategy to achieve your objectives through personalized data-driven simulations and scenarios.
It enables companies to identify the optimal inventory strategy to meet their goals using advanced simulation capabilities.
For more details and comparative studies, see our blog section.