About Flowlity
Flowlity is a supply chain planning software from Flowlity that provides accurate forecasting, reduces stockouts, and increases visibility. It combines artificial intelligence, integration and security features, and AI agents so users can manage their supply chain effectively. With Flowlity, businesses can significantly improve their forecasting accuracy while enjoying a user-friendly interface. The platform is designed to support smooth integration into existing systems, ensuring data security and resource management. Key capabilities: artificial intelligence integration and security AI agents resources user-friendly interface Best for: supply chain managers that need effective planning and forecasting solutions.
Flowlity Details
Flowlity's In-App Market Place
Does Flowlity have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD ($), CAD ($), CHF (CHF), SEK (kr)
Pros & Cons
- Reduces Inventory & Stockouts
- Customers report significant reductions in inventory (up to 40%) and fewer disruptions in supply.
- Quick to Implement
- ERP overlay approach enables fast deployment without major changes to existing systems.
- Transparent & Planner-Friendly
- Visual explanations and scenario outputs make it easy for planners to interpret and act.
- Highly Scalable Platform
- Can process millions of SKUs and scenarios efficiently across global operations.
- Aligns Supply with Business Strategy
- Supports operational planning, demand alignment, and supplier risk mitigation in one interface.
- Relatively New in the Market
- As a company founded in 2019, Flowlity has a smaller footprint compared to legacy vendors.
- Limited Public Case Studies
- Few independent benchmarks or reviews from large-scale deployments are publicly available.
- Requires ERP Data Quality
- Results depend heavily on the cleanliness and completeness of ERP and MRP data inputs.
- Decision Support, Not Full Automation
- Offers smart recommendations but still requires human execution and oversight.
- Lacks Technical Documentation Transparency
- Details on the internal workings of the AI models are not fully disclosed.