Slash stockouts and inventory with Flowlity

Achieve optimal inventory levels with Flowlity's advanced tools: probabilistic forecasting, lead time forecasting, dynamic safety stocks and inventory strategy simulations.

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Inventory optimization software interface showing ERP-driven buffer level and stock policy settings powered by Flowlity AI

Award-winning dynamic AI inventory optimization

Benefit from 5 years of dedicated research. Our unique algorithm 
slashes inventory value and minimizes stock shortages.

Dynamic Probabilistic Inventory Management

Utilize advanced probabilistic forecasting to predict demand and lead times. Based on the probabilities, proactively optimize inventory, balancing availability with cost-effectiveness in real-time.
Probabilistic inventory optimization software showing demand forecast, projected stock, safety stock, and confidence intervals in real time

Automated Stock Adjustments

Automatically recalibrate inventory levels considering demand and lead-time variability. Build a resilient Supply Chain by capturing risks in real-time.
Inventory optimization software interface showing automated stock adjustment recommendations based on demand, lead time, and MOQ constraints

Inventory Simulations

We run many simulations in the background. Evaluate different inventory strategies and their impact on inventory value and availability.
Inventory optimization software showing simulation scenarios comparing actual, target, and simulated inventory levels to assess stock value and availability

Inventory Policy Control

Customize inventory strategies (reorder point, demand-driven, days of stock, …) specifically tailored to SKU or product groups. Create workflows to automatically adjust the strategies based on actual performance.
Inventory optimization software interface for configuring inventory policies, reorder rules, and stock coverage by SKU or product group
Flowlity executive speaking on stage, highlighting the company’s people-first culture and vision
“What makes Flowlity special isn’t just the technology — it’s the people. I’ve never felt so supported, challenged.
Jean-Baptiste Clouard
CEO, Flowlity

Tailored inventory optimization for all your products

Gain complete control and access a full suite of tools to define the optimal inventory strategy for your business objectives. Whether dealing with slow-moving or fast-moving items, we provide tailored strategies to suit every product.

Dynamic Inventory Optimization

Implement tailored inventory strategies and parameter adjustments for each Stock Keeping Unit, aligning demand probabilities with optimal inventory zones per product.

Strategy Simulations

Investigate our tactical module, capable of producing extensive simulation datasets, to discern the most efficient inventory strategy for achieving consistent service level and inventory value objectives.

Perishability Optimization

Intelligently manage inventory shelf-life for perishable goods. Optimize replenishment orders in order to minimize wastes for your portfolio.

Inventory Visibility

Real-time tracking and management across multiple locations of our inventories. Transfer easily stocks in between two sites when you see an imbalance.

Granular and Aggregated Strategy Control

Adjust the inventory strategy easily for groups of products (such as ABC - XYZ classification).
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How Flowlity’s inventory optimization software works across the entire Supply Chain

End-to-end inventory optimization powered by data and ERP intelligence

A modern inventory optimization layer that enhances your existing ERP

Flowlity is an inventory optimization software designed to help companies maintain the right inventory across the entire supply chain, from raw materials and suppliers to distribution centers and final points of sale. Rather than relying on static rules or spreadsheets, Flowlity acts as a modern planning software layer that enhances existing ERP systems with advanced, data-driven optimization capabilities.

By continuously analyzing demand patterns, lead times, inventory constraints, and service objectives, Flowlity enables supply chain teams to align inventory decisions with business priorities. The result is a more resilient approach to supply chain management, where inventory levels, replenishment policies, and ordering decisions are optimized holistically instead of in silos.

From demand forecasting to inventory decisions –not just dashboards

Accurate demand forecasting is a critical foundation, but forecasting alone does not solve inventory challenges. Many tools stop at dashboards and alerts, leaving planners to manually translate insights into actions. Flowlity goes further by directly connecting forecasts to inventory optimization decisions.

Using probabilistic forecasting and advanced algorithms, the platform accounts for seasonality, demand variability, and uncertainty to improve forecast accuracy. These forecasts then drive concrete recommendations for safety stock levels, order quantities, and replenishment strategies. This tight link between demand planning and execution supports faster, more confident decision-making, even in volatile environments.

Solving real inventory problems with data-driven optimization

Today’s supply chains face constant disruptions, increasing volatility, and growing pressure on margins. Traditional inventory management approaches struggle to adapt, often resulting in excess stock in some locations and shortages in others. Flowlity addresses these challenges with a truly inventory optimization solution built for dynamic, real-world conditions.

Reduce excess inventory without compromising service levels

Excess inventory and excess stock tie up capital, increase carrying costs, and inflate overall inventory costs. Flowlity helps companies reduce overstock while maintaining target service levels, by continuously recalibrating inventory policies based on real demand and risk.Instead of one-size-fits-all rules, the software dynamically adjusts buffers and stocking parameters to balance availability and cost. This ensures the right inventory is held at the right location, minimizing waste while protecting customer commitments.

Prevent stockouts in a volatile global supply chain

In a global supply chain affected by longer lead times, supplier variability, and unexpected demand shifts, stockouts can quickly erode revenue and trust. Flowlity anticipates risk by factoring volatility, demand uncertainty, and supplier performance into its optimization logic.

With real-time recalculations and on-demand updates, planners can respond faster to disruptions, reallocate inventory, and adapt replenishment decisions before shortages occur. This proactive approach helps protect sales and stabilize operations across complex networks.

Improve customer satisfaction while freeing working capital

Inventory optimization is not only about cost reduction—it directly impacts customer satisfaction and profitability. By aligning inventory with true customer demand, Flowlity improves availability where it matters most, supporting higher fill rates and consistent service.

At the same time, reducing unnecessary stock frees up working capital, allowing organizations to reinvest in growth initiatives, pricing strategies, or operational improvements. Executives gain clearer metrics to track performance and understand the trade-offs between service, cost, and risk.

Key capabilities to look for in inventory optimization tools

Not all inventory optimization tools deliver the same value. To support sustainable performance, organizations need solutions that combine advanced analytics with practical workflows that planners can trust and adopt.

Multi-Echelon Inventory Optimization (MEIO) at scale

Flowlity supports multi-echelon inventory optimization, enabling companies to optimize inventory across multiple tiers of the supply chain simultaneously. Rather than optimizing each warehouse or location in isolation, MEIO considers interdependencies between suppliers, distribution centers, and downstream nodes.

This approach is especially critical when managing thousands of SKUs, varying lead times, and complex service requirements. By optimizing across echelons, Flowlity helps organizations achieve better service outcomes with lower overall inventory investment.

Automation that supports planners – not black-box AI

Flowlity is built to automate repetitive planning tasks while keeping humans in control. The platform streamlines workflows, prioritizes actions, and highlights exceptions, allowing planners to focus on high-value decisions rather than manual calculations.

Powered by machine learning and advanced analytics, the system provides transparent recommendations instead of opaque “black-box” outputs. This balance between automation and control builds trust and accelerates adoption across planning teams.

Real-Time inventory visibility powered by ERP data

Seamless ERP integration is a core capability of Flowlity’s inventory optimization software. By leveraging existing master data and transactional flows, the platform delivers real-time inventory visibility without disrupting core systems.This unified view of inventory, demand, and supply supports faster, more consistent decisions across procurement, planning, and operations—turning ERP data into actionable intelligence for the entire supply chain.

FAQ

Find everything you need to know right here.

Do you offer ABC/XYZ classification tools for inventory?

Yes, we can support the ABC/XYZ classification of your items.

Flowlity knows how to prioritize high-value/fast-moving products and low-impact products to adapt planning strategies.

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).

Flowlity can integrate these segments:

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 supply chain optimization to treat strategic and less critical products differently, for better overall inventory control.

What results can we expect in terms of forecasting, inventory or ROI?

Feedback shows significant gains thanks to Flowlity, both in forecast accuracy and in inventory reduction and service rate improvement.

On average, our customers observe up to 60% inventory reduction and a 50% improvement in product availability by leveraging our solution.

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:

Thales estimates the return on investment for Flowlity at less than 18 months.

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).

In short, with Flowlity, you can expect:

  • less inventory,
  • fewer stockouts,
  • more sales – and therefore financial and operational optimization of your supply chain from the first year of use.

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.

What is the Pareto principle (80/20 rule) and how is it applied to inventory management?

The Pareto principle, or 80/20 rule, states that roughly 80% of the effects come from 20% of the causes. In inventory management, this often means that a small proportion of items (the top 20%, or “A items”) account for most of the value or consumption (around 80%).

Applying the Pareto principle to your inventory helps you identify the most strategic products—those that require tighter forecasting, closer monitoring, and higher service levels—while managing less critical items with simpler methods.

What is the DDMRP (Demand Driven MRP) methodology?

DDMRP (Demand Driven Material Requirements Planning) is a modern planning approach that combines traditional MRP principles with demand-driven practices. This methodology strategically positions buffer stocks throughout the supply chain to absorb demand fluctuations.

In practice, DDMRP helps adjust replenishment in real time based on actual demand, reducing the bullwhip effect, improving responsiveness, and optimizing inventory levels.

Flowlity shares DDMRP’s goal but uses a more dynamic, AI-driven approach to buffer management.

What is ABC analysis in inventory management? Why is it important?

ABC analysis is a stock segmentation method based on the Pareto principle. It classifies items into three categories—A, B, and C—according to their importance (for example, annual consumption value).
Category A items are the most important (few in number but highly critical), category B items are of medium importance, and category C items are numerous with lower impact.

This analysis helps tailor inventory management efforts: category A items receive more attention (frequent cycle counts, tighter forecasting), while category C items are managed with simpler, less resource-intensive methods.

What is inventory optimization? Why is it important?

Inventory optimization consists of determining and maintaining the right stock levels for each item in order to meet demand while minimizing working capital and storage costs. In other words, it is about finding the right balance: avoiding stockouts (which lead to lost sales) while also preventing overstock (which generates unnecessary costs).

Effective inventory optimization is important because it improves profitability and customer service levels—ensuring the company has the right products at the right time, without excess.

What is a safety stocks? How is it calculated?

Safety stock is a buffer quantity kept on hand to absorb unexpected events, such as higher-than-expected demand or supplier delays. It acts as a cushion to prevent stockouts.

To calculate it, you typically consider demand variability and lead time variability (for example, using the standard deviation of demand over the lead time) as well as the desired service level. A common formula is:

Safety stock = service factor × standard deviation of demand during lead time.

This reserve helps maintain product availability despite uncertainty.

How does Flowlity help SMBs reduce overstock and excess inventory?

Flowlity helps SMBs regain control over stock levels by continuously adjusting inventory targets based on demand variability, lead times, and supplier reliability.Using real-time simulations and multiple demand scenarios, SMBs can anticipate risks, avoid overstock and excess inventory, and improve service levels.The result: less cash tied up in inventory, smoother operations, and higher customer satisfaction, without slowing down the planning process.

Is Shopify enough for inventory management?

Shopify’s built-in inventory features are sufficient for small ecommerce businesses with simple needs. As complexity increases, businesses often require additional tools for demand forecasting and inventory planning.