Use Case

AI-Driven Demand Forecasting & Distribution Planning   

‍

The Planning Challenge

Dorel Juvenile designs and distributes car seats, strollers, and nursery products through major retail partners worldwide.

Operating in a market characterized by strong seasonality, large product portfolios, and highly variable demand, the company manages a complex supply chain across multiple European markets and distribution centers.

As planning complexity increased, forecasting and inventory decisions became harder to coordinate across teams and locations. At the same time, the company needed to replace a legacy APS system that had become difficult to maintain and required significant manual planning work.

Dorel Juvenile saw this transition as an opportunity to modernize its demand planning and distribution processes.

‍

Results at a Glance

• Improved demand forecast accuracy through AI-driven models

• Better alignment between commercial forecasts and supply planning

• Stronger visibility across inventory and distribution decisions

• Reduced manual planning effort through automation

‍

The Operational Environment

Dorel Juvenile operates in a fast-moving consumer market with complex planning dynamics.

Its supply chain includes:

• Large product portfolios with frequent launches
• Seasonal demand peaks linked to promotions and retail cycles
• Multiple warehouses serving European markets
  

In this environment, forecasting accuracy and inventory coordination are critical to maintaining service levels while controlling stock exposure.

‍

The Transformation

Dorel Juvenile partnered with Sunstice to replace its legacy planning system and modernize its demand forecasting and distribution planning processes.

By combining AI-driven forecasting with constraint-based distribution planning, the company improved how demand signals, promotional inputs, and inventory decisions are coordinated across its network.

This transformation enabled planning teams to move from manual forecasting adjustments toward more automated and collaborative planning processes.

‍

Customer Perspective

“AI-powered forecasting and collaborative planning have allowed us to modernize our demand planning processes while maintaining operational continuity during the transition.”
David Carvalho
Senior Project Manager, Dorel Juvenile

Structured Agility™ in Action

This transformation illustrates Structured Agility™, Sunstice’s operating framework for planning in environments characterized by demand variability and operational complexity.

By combining AI forecasting, collaborative planning workflows, and constraint-based distribution planning, Dorel Juvenile improved its ability to anticipate demand shifts and maintain inventory balance across its network.

Planning becomes a more proactive decision system capable of supporting both operational stability and future growth.