Company A (name withheld for confidentiality) is one of the world’s leading snack manufacturers, operating across Europe and globally with a large portfolio of well-known brands.
As the company expanded its product assortment and production complexity, aligning manufacturing output with demand became increasingly difficult. Multi-step production processes, manual planning workflows, and inventory risks created inefficiencies that limited operational agility.
To improve planning precision and operational visibility, the company partnered with Demand Chain AI to implement Puls8 Replan, an advanced planning platform designed for complex food manufacturing environments.
Snack production requires precise synchronization across multiple stages including frying, seasoning, bagging, and packing.
Each step operates with different run lengths, minimum lot sizes, and operational constraints, making it extremely difficult to coordinate production schedules manually.
Because planners lacked confidence in long-term planning visibility, excess inventory was often used as a buffer against uncertainty.
In a category where freshness is critical, this increased the risk of product obsolescence.
Without stable production plans, it was difficult to ensure that packaging and raw materials were available at the right time.
This created the risk of both shortages and excess inventory across packaging components.
Demand Chain AI implemented Puls8 Replan, creating a digital twin of the company’s production environment to replicate real operational constraints.
The pilot deployment covered:
6 production lines
300 production resources
500 SKUs
This digital model allowed the system to simulate production constraints, material dependencies, and lot size requirements while generating optimized production plans.
Puls8 Replan automatically generated optimized production schedules across a 16-week planning horizon, replacing labor-intensive manual planning.
Planners gained the ability to evaluate operational scenarios such as:
This allowed planners to quickly assess the operational impact of potential changes.
The system ensured that constraints across each stage of production were respected while aligning output with demand forecasts and inventory targets.
By generating more stable production plans, Puls8 Replan provided more reliable inputs for Material Requirements Planning (MRP), improving packaging and raw material planning accuracy.
Demand Chain AI deployed Puls8 Replan through a pilot project designed to validate the solution in a complex manufacturing environment.
The digital twin captured machine-level constraints, operational dependencies, and lot size requirements, enabling accurate modeling of real production conditions.
Within the pilot environment, planners were able to move from manual scheduling to automated planning workflows.
The pilot demonstrated significant improvements in planning efficiency and operational visibility.
A previously manual and time-intensive planning process was fully automated, allowing planners to focus on higher-value strategic decisions.
Planners gained reliable visibility across the full 16-week demand horizon, improving confidence in production and inventory decisions.
More stable production schedules improved packaging and raw material planning, reducing the risk of shortages or excess materials.
By implementing Puls8 Replan, the company significantly modernized its planning process.
The system successfully handled complex, multi-step snack manufacturing while improving operational stability and planning efficiency.
Following the success of the pilot, the organization is preparing to expand the deployment across one of its most complex production areas in Europe—unlocking greater agility, reducing waste, and improving service levels across its supply chain.
Puls8 gives you the intelligence to respond in real time, optimize operations, and build a more agile, resilient supply chain.