Ceva Facilitates the Design of its Routes with DCbrain
Ceva uses DCbrain to generate optimized Routes, which factor in its requirements in real time, and reduce its transportation costs
CEVA Logistics is an automotive logistics specialist. It runs an optimized multimodal land transportation network. Before DCbrain, planners used standard delivery models that were not necessarily optimized on the basis of actual requirements.
In order to address the narrowing of its traditional scope, CEVA needed to modernize its processes. The solution? More fine-grained optimization of loading/unloading points for its delivery vehicles.
The creation of routes was based on standardized models. The various tools available to planners did not provide a global vision of flows and requirements in real time. The route creation process was time-consuming and did not enable the development of optimum solutions.
The primary challenge for CEVA is strategic: to improve its competitiveness and build profit on its growth drivers.
Who for ?
The tool is used by planning agencies in France and Europe: by team managers to optimize and track KPIs, as well as by planners to approve optimization and get a real-time view.
Planners in agencies used data from various sources that lacked harmonization (Excel spreadsheets, emails, telephone calls, etc.), which made the job of planning difficult.
- Automation of order batching and allocation to delivery vehicles
- Daily tracking of the transportation order completion rate
- Daily and weekly tracking of operational KPIs: load factor, SLA, costs, etc.
- Scenario testing to suggest new, optimized journeys, while integrating new order flows as they arise
- Transportation-related data: configuration of considered vehicles, maximum travel time, minimum break time, loading/unloading time, etc.
- Daily and weekly order flows
- Management rules
- Transportation plan optimized in real time
- Fewer delivery vehicles
- Homogeneous average distances travelled by each vehicle
- Reduced transportation cost
- Reduced CO2 emissions
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