From algorithms to decision intelligence
Decision intelligence helps planners choose among valid route plans by making the operational trade-offs explicit.
An optimization solver is the calculation engine that builds feasible routes from your orders, vehicles and constraints. It processes thousands of stops, but planners need more than one valid route. They need to know whether a lower-cost plan puts an SLA at risk, whether a service improvement requires more vehicles or whether a CO₂ reduction changes capacity, mileage or driver hours.
AI speeds up the calculations and identifies patterns. The software then uses prescriptive analytics to show planners how each option changes cost, service and CO₂. Planners add customer priorities, local knowledge and operational judgment before choosing the trade-offs their network accepts.
Planners no longer spend most of their time waiting for a route calculation. The harder job is interpreting the options and choosing the right trade-offs. When the software explains each scenario clearly, your team understands what changes, approves the plan with confidence and explains the decision to the wider operation.
Why conversational AI matters in logistics
Experienced planning and operations teams use conversational AI to access optimization and scenario analysis through natural-language questions.
Planners ask questions in everyday operational language instead of rebuilding models or hunting through dashboards. They investigate why an order remains unplanned, test next week's volume change or compare depot options. PTV Mira connects each question to a real optimization run, simulation or root-cause analysis, then shows the assumptions and operational effects behind the answer.
That gives planners faster answers when today's plan changes. It also lets logistics leaders test fleet capacity, territories or depot structures and see the effects on routes, cost, service and CO₂.
