Plan textile cycles efficiently. Secure supply. Reduce transport costs.
Industrial laundries do not operate classical one-way delivery tours. They run closed textile cycles: clean goods out, soiled textiles back, containers in circulation, inventories under control, and strict service commitments every day.
Why this industry works differently
Closed textile cycles instead of one-way distribution
Integrated delivery, return, and circulation control
Supply reliability under strict service commitments
Classical tour planning is not enough for industrial laundries. Vehicles deliver clean goods, collect soiled textiles, maintain stock security at the customer, and keep load carriers circulating at the same time.
As customer counts grow and segments such as healthcare, hospitality, care, or workwear add different requirements, the planning complexity increases quickly. That is where a dedicated optimization system creates leverage.
Supply optimization
We do not look at industrial laundries as simple transport networks. We treat them as supply systems for textile cycles. That means recurring tours, integrated delivery and pickup, inventory logic, circulation assets, and short-notice changes all belong in one planning model.
Recurring tours, fixed delivery rhythms, time windows, territory logic, and vehicle capacities come together in one consistent planning model. Dispatch teams receive proposals that can be adopted directly or refined selectively.
Delivering clean goods and returning soiled textiles are two sides of the same process in industrial laundries. Our algorithms plan both together instead of creating isolated decisions.
The trip is only one part of the task. Supply reliability at the customer also matters, which is why stock logic, inventory, and demand structures can be included in the planning process.
Containers, textile bags, rolling carts, and other load carriers are critical bottlenecks in many operations. Our software creates transparency across those circulation flows and supports better control.
Additional demand, special trips, and short-notice changes can be integrated into ongoing planning without rebuilding the entire tour structure manually.
Delivery and pickup within the same tour
Recurring tours and fixed service days
Fluctuating volumes and different demand patterns
Vehicle capacities and utilization
Time windows, site rules, and access restrictions
Multiple operating sites or depot structures
Prioritized customers and defined service levels
Container and load-carrier circulation
Special demand and short-notice add-on jobs
The connection between tour planning and load planning
This segment depends on supply reliability, predictable workflows, and precise operational control. Our software helps structure that complexity efficiently.
Fluctuating occupancy, seasonal demand, and broad assortments make planning demanding. Data-driven optimization helps build more resilient transport and supply structures.
Wearer-related processes, return flows, exchange cycles, and high coordination needs require a planning logic that goes well beyond stop sequencing.
Lower mileage and better vehicle utilization
Less daily dispatch effort
More stable supply with higher predictability
Faster reactions to deviations and additional demand
More transparency across textile cycles and operational bottlenecks
Practical instead of generic
Our planning proposals follow real processes, restrictions, and bottlenecks in textile service operations, not an abstract standard route model.
Standard solutions reach their limits quickly in industrial laundries because they do not model textile cycles deeply enough. Our software is built to translate real operational processes into practical planning recommendations.
