{"id":12256,"date":"2026-08-20T14:40:42","date_gmt":"2026-08-20T12:40:42","guid":{"rendered":"https:\/\/peakmobility.de\/?page_id=12256"},"modified":"2026-09-07T14:29:46","modified_gmt":"2026-09-07T12:29:46","slug":"profahr-x-artificial-intelligence-in-software-development-copy-2","status":"publish","type":"page","link":"https:\/\/peakmobility.de\/en\/blog\/profahr-x-artificial-intelligence-in-software-development-copy-2\/","title":{"rendered":"Predictive Dispatching: Lower Costs, Greater Stability"},"content":{"rendered":"\t\t
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Predictive Dispatching: Lower Costs, Greater Stability<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Proactive scheduling makes electric and conventional fleets easier to plan, more efficient, and more cost-effective.<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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As public transportation becomes more electrified, the demands on daily vehicle scheduling are increasing. Range, charge levels, charging windows, and vehicle availability must be reliably coordinated. If these factors are considered in isolation, it leads to unnecessary reserves, last-minute rescheduling, and additional costs. <\/p>

Predictive dispatching provides a reliable basis for decision-making in this area. The solution considers not only the next block but the entire operational chain of a vehicle. This makes bottlenecks visible early on, allowing operational decisions to be made before disruptions occur. <\/p>

Our system expansion thus improves the cost-effectiveness and stability of fleets powered by electricity and conventional fuels: vehicles and charging infrastructure are utilized more efficiently, risks are identified early, and the manual workload at the control center is reduced. <\/p>

Predictive Dispatching is a native PEAK.DMS extension. No system changes or implementation effort are required; the extension can be installed in the usual way as a new release. <\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Which four levers of predictive dispatching make your business more profitable and stable?<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1.) Reduce CapEx:<\/strong><\/em> Improve vehicle fleet utilization by 3\u20135%<\/strong><\/p>

Chain-based scheduling takes into account not only individual runs but all consecutive assignments for a vehicle. This helps reduce idle time, unfavorable handoffs, and range risks. <\/p>

The result: The same schedule can be covered with fewer vehicles or a smaller reserve. The existing fleet is utilized more efficiently, and investments in additional vehicles can be planned more effectively. <\/p>

2.) Reduce OpEx:<\/em> Cut ad hoc costs by 20\u201330%<\/span><\/strong><\/p>

If range limitations are not detected until operations are already underway, the only options left are often costly stopgap measures: replacement vehicles, last-minute block changes, reduced service, or canceled trips.<\/p>

Predictive dispatching identifies critical situations while they are still manageable. Vehicles can be reassigned in a timely manner, charging windows can be adjusted, and blocks can be modified. This increases reliability and flexibility while reducing penalties and ad hoc costs. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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3.) Reduce OpEx:<\/em> Cut control center operating costs by 10\u201315%<\/span><\/strong><\/p>

Today, disruptions often trigger a series of time-consuming rescheduling steps. Automatic replacement scoring evaluates available replacement vehicles based on their suitability. When combined with a route swap, the disruption can be limited to the affected block rather than affecting other assignments. <\/p>

This reduces process costs and requires fewer staff. Dispatchers gain time to handle complex exceptions and make informed decisions because recurring search and coordination tasks are automated. <\/p>

4.) Reduce OpEx: <\/strong><\/em>Cut special operating costs for stores by 10\u201320%<\/strong><\/p>

The vehicle chain generates specific charging instructions regarding target SoC, power level, and delivery time. This data can be transferred directly to the charging management system. Charging thus evolves from a reactive, one-off event into a predictable part of operations. <\/p>

For you in management, this results in clear economic benefits: less tied-up capital, lower one-time operating costs, less planning effort, and greater operational resilience. Therefore, what matters most is not just how many electric buses are purchased, but how intelligently each vehicle is utilized in daily operations. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Summary<\/strong>: Predictive dispatching not only makes your operations more stable but also more economically sustainable. Through forward-looking planning, existing vehicles and charging infrastructure are utilized more efficiently, operational risks are mitigated early on, and the workload on the control center is specifically reduced. This lowers investment and operating costs while increasing reliability, predictability, and flexibility in day-to-day operations. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Feel free to stop by and talk to us at InnoTrans. Click here to register. <\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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