Startups

Flowlity

Customer Success Manager Remote

Flowlity is an all-in-one platform covering the full Supply Chain planning cycle — from demand forecasting to operational execution — powered by probabilistic artificial intelligence. Its main features work together as a single decision system rather than as isolated modules.

Demand planning

Flowlity generates reliable sales forecasts using your historical and external data. Its probabilistic algorithm produces several scenarios, identifies the most likely one, and provides a confidence interval so planners can see uncertainty rather than hide it.

Inventory optimization

The platform recommends optimal stock levels for every SKU-location and calculates dynamic replenishment thresholds, alerting on imminent stockouts or overstocks.

Supply Planning

Flowlity generates replenishment proposals that respect MOQ, lot sizes, lead times, and capacity constraints, and can lift product availability by up to +50% while reducing excess.

Production Planning

For manufacturers, Flowlity builds capacity-feasible production plans, integrates bills of materials, and decides where to position buffer stocks to maximize on-time delivery.

S&OP and reporting

Real-time dashboards feed the monthly S&OP cycle, aligning demand, supply, and finance around one shared view of stock coverage, shortage projection, and capacity.

Supplier-customer collaboration

Flowlity offers a collaborative space to share forecasts, needs, and order confirmations with your partners — streamlining communication and reducing uncertainty along the chain.

Pricing & Promotions Management

An AI-powered Pricing Optimization & Promotions Management software simulates pricing and promotional scenarios, visualizes their impact on volumes and margins, and keeps pricing decisions aligned with supply capacity. Overall, Flowlity automates up to 95% of planning activities while keeping planners in control — delivering inventory reductions of up to 60% and higher service rates. Contact us to see it applied to your scope. ‍ In 2026, AI in supply chain planning goes beyond dashboards. It enables:

  • Predictive analytics to anticipate shortages and market conditions
  • Automated planning workflows to reduce manual work and silos
  • Real-time visibility across inventory, sourcing, and warehouse management This results in higher operational efficiency and faster response to disruptions.

A Supply Chain Management Software centralizes data and supports better decision-making across your entire Supply Chain.

Concretely, it helps you

  • Forecast customer demand more accurately
  • Plan supply and replenishment based on real constraints
  • Optimize Inventory levels across warehouses and production sites
  • Improve collaboration between Sales, Operations, Procurement and Finance
  • Anticipate risks instead of reacting to them Instead of working in disconnected Excel files or relying solely on ERP outputs, the software becomes a decision-support engine.

The goal is simple

Reduce stockouts, cut excess Inventory, and improve Service Level — simultaneously. ‍ Inventory optimization is not about cutting stock blindly. It’s about balancing service, cost, and risk.

Modern Supply Chain Planning Software use

  • AI-driven demand forecasting
  • Variability analysis (lead time + demand volatility)
  • Dynamic Safety Stock calculations
  • Multi-echelon optimization across the network

Instead of fixed buffers, the system continuously adjusts Inventory policies based on real data.

This means

  • Lower working capital
  • Fewer emergency orders
  • Fewer zero-stock days
  • Higher customer satisfaction

The most advanced platforms use probabilistic forecasting to model uncertainty — allowing companies to set service targets based on risk tolerance, not guesswork. Choosing the right solution requires looking beyond features.

Here are the key evaluation criteria

  • Forecasting sophistication

Does the tool rely on static models, or does it use Machine Learning and probabilistic forecasting?

  • Inventory logic

Is Safety Stock dynamic? Can it optimize across multiple sites?

  • Implementation speed

Will it take 18 months — or 8 weeks?

  • Ease of use

Will planners adopt it? Is it intuitive?

  • Total Cost of Ownership (TCO)

What are the hidden IT, maintenance, and customization costs?

  • Vendor expertise & ROI proof

Can the vendor demonstrate measurable results in companies similar to yours? The best solution is not the most complex one. It’s the one that delivers measurable impact quickly. ‍ When evaluating vendors, focus on outcomes — not marketing claims.

Ask

  • What average Inventory reduction do clients achieve?
  • How long until ROI is reached?
  • What industries are you strongest in?
  • Can you simulate my potential gains before I sign?
  • How do you handle data security and compliance? Also assess the partnership dimension:
  • Is there a dedicated Customer Success team?
  • Do they support change management?
  • Are they responsive and transparent? Supply Chain transformation requires internal alignment.

Your software provider should act as a long-term strategic partner — not just a vendor. ‍

Pricing usually varies depending on

  • Number of SKUs managed
  • Supply Chain complexity
  • Modules required (Demand Planning, Inventory, S&OP, etc.)
  • Forecasting horizon
  • Number of production sites

•... Mid-market SaaS solutions often start in the tens of thousands per year, while large enterprise systems can reach significantly higher budgets. However, cost should always be evaluated against potential ROI:

  • Inventory reduction
  • Fewer shortages
  • Improved Service Level
  • Reduced manual planning time In many cases, the working capital savings alone justify the investment.

The real question isn’t: “How much does it cost?” It’s: “How much is my current inefficiency costing me?” ‍

Bron 2026-09-26