Greenplan

Retail/Convenience

Operating convenience stores on the West Coast in the US, our customer has to deal with fluctuating delivery volumes every day – and their current static planning approach was not capable to handle this efficiently.

This is where Greenplan supported them with and dynamic and automated planning approach, which helped them to not only reduce the amount of required tours and vehicles, but also to reduce manual and error-prone processes.

Contact Us

Value delivered

More efficient capacity utilization

Avoiding the virtual limitation of 19 stops per vehicle enables a significant increase of capacity utilization in vehicles, i.e. up to >85%

Less manual workload

The automated planning approach reduces the manual workload for dispatchers, in that freeing up time for more value-adding activities

Reduced fleet size

Increasing the capacity utilization of vehicles, allows for reduction of tours and thus for a fleet reduction from 51 to 47 vehicles

Faster calculation

Significantly shorter calculation times allow a one hour later cut-off time for order reception

Improved planning reliability

Considering time-of-day dependent velocities (speed profiles) and thus realistic drive times makes planning much more reliable, i.e. meeting all critical time windows

Setup

50+

delivery trucks

supplying convenience stores in a wider US metropolitan area

1,000+

stores supplied

from inner-city stores to locations in the countryside

10,000+

orders daily

covering different temperature ranges from ambient to chilled

Manual planning

dispatcher

manual planning LTL shipments on daily delivery tours from central downtown depot

Challenges

No dynamic tour planning

Today’s planning is not done dynamically, but based on static routes that are defined once a year only

Simplified modelling

The current planning model is not capable of considering multi-trip routes, i.e. re-loading of vehicles during the day

Workarounds in planning

Since planning is based on static routes, planners assume a virtual limit for delivery stops in order to cope with daily fluctuations in volume

Inefficient capacity utilization

The simplified planning model and the virtual stop limitation leads to an efficient capacity utilization, thus requiring additional delivery tours and vehicles

Delayed deliveries & overtime hours

Massive traffic congestions in the metropolitan area leads due to regular delays in deliveries as well as overtime hours for the workforce

Manual processing

Daily planning processes are mainly manual, which is not only time-consuming but also error-prone

What is Greenplan?

Learn more about our product.

Have questions?

Our team will be happy to answer any questions.