TMS Route Optimization: A Practical Guide for Transport Professionals

‍Route optimization software: Due to the fact that plans are subject to suddenchanges.

No plan isever really final in the world of logistics. Every minute, customer demandschange, drivers shift, and vehicles break down. Being prepared to actimmediately is essential to staying ahead.

CADIS makes that possible with routeoptimization software, a next-generation feature built to deliver agility underpressure.

Flexibilitybecomes more than just a benefit when logistics operations are conducted inreal time; it becomes essential for survival. By enabling dispatchers andplanners to dynamically reassign vehicles, CADIS makeTMS-Routenoptimierung: Praxisleitfaden für Transportprofis

TMS-Routenoptimierung bedeutet, Zustellungen und Abholungen nicht nur anhand der kürzesten Strecke zu planen, sondern dabei auch Fahrzeugkapazitäten, operative Restriktionen, Zeitvorgaben und Dispositionsregeln zu berücksichtigen.

Im realen Transportbetrieb reicht die kürzeste Route allein nicht aus. Entscheidend ist ein effizienter Tourenplan, der anschließend auch tatsächlich ausgeführt werden kann.

Was ist TMS-Routenoptimierung?

Mit der Routenoptimierung kann ein Transportation Management System Sendungen, Abholungen, Fahrzeuge und Stopps möglichst effizient miteinander kombinieren.

Typische Optimierungsziele sind:

• die Gesamtfahrstrecke reduzieren;
• die Fahrzeit reduzieren;
• die Fahrzeugauslastung verbessern;
• die benötigte Anzahl an Touren reduzieren;
• Liefer- und Abholrestriktionen einhalten;
• eine praktikable Stoppfolge bestimmen.

Entscheidend ist dabei das Wort praktikabel.

Eine professionelle Optimierung sucht nicht nur nach einer theoretisch kurzen Strecke, sondern nach einer effizienten Lösung innerhalb der tatsächlichen betrieblichen Rahmenbedingungen.

Tourenplanung, Routenoptimierung und Sequenzoptimierung

Diese Begriffe beschreiben unterschiedliche Schritte.

Tourenplanung
Legt fest, welche Transporte zu einer Tour gehören.

Routenoptimierung
Ermittelt anhand definierter Parameter eine effiziente Kombination aus Sendungen, Abholungen und Fahrzeugen.

Sequenzoptimierung
Bestimmt die optimale Reihenfolge der Stopps innerhalb einer Tour.

In einem durchgängigen Transportprozess greifen diese Schritte ineinander.

Welche Daten benötigt eine gute Routenoptimierung?

Die Qualität der Optimierung hängt direkt von der Qualität der zugrunde liegenden Daten ab.

Sendungs- und Abholdaten

Das System benötigt ausreichende Informationen darüber, welche Transporte durchgeführt werden müssen.

Verlässliche Geodaten

Fehlende oder falsche Geokoordinaten können eine Optimierung verhindern oder das Ergebnis verschlechtern.

In CADIS können Adressen bei Bedarf geokodiert beziehungsweise korrigiert werden.

Fahrzeugdaten

Eine realistische Planung muss auch die Eigenschaften des Fuhrparks berücksichtigen.

Bei der Routenoptimierung in CADIS können unter anderem folgende Fahrzeugmerkmale berücksichtigt werden:

• Nutzlast;
• Palettenstellplätze;
• Gefahrgutausrüstung;
• Ladebordwand.

Zeitliche Restriktionen

Zeitvorgaben und Lieferbeschränkungen beeinflussen sowohl die Machbarkeit einer Tour als auch die optimale Reihenfolge der Stopps.

Wie funktioniert Routenoptimierung in der Praxis?

1. Festlegen, was optimiert werden soll

Nicht immer muss der gesamte Auftragsbestand optimiert werden.

Je nach Betrieb kann es sinnvoll sein, nur ausgewählte Sendungen und Abholungen in einen Optimierungslauf einzubeziehen.

2. Verfügbare Fahrzeuge definieren

Anschließend muss festgelegt werden, welche Fahrzeuge beziehungsweise Fahrzeugtypen eingesetzt werden können.

CADIS ermöglicht die Planung mit konkreten Einzelfahrzeugen oder mit einer bestimmten Anzahl von Fahrzeugen je Fahrzeugtyp.

3. Planungsziele definieren

Ein Unternehmen kann beispielsweise versuchen, möglichst wenige Touren zu erzeugen oder einen vorhandenen Fuhrpark auf bestimmte Weise einzusetzen.

Das Optimierungsziel sollte sich an den tatsächlichen betrieblichen Prioritäten orientieren.

Außerdem kann es sinnvoll sein, Fahrzeuge nicht grundsätzlich bis zu 100 Prozent ihrer theoretischen Kapazität zu planen, wenn Volumen- oder Ladungsdaten gewisse Ungenauigkeiten enthalten.

4. Berechnen, bevor Änderungen übernommen werden

Eine Optimierung sollte den laufenden Betrieb nicht sofort verändern.

In CADIS können Optimierungsergebnisse zunächst berechnet und geprüft werden, bevor sie übernommen werden.

Dadurch lassen sich auch mehrere Szenarien berechnen und miteinander vergleichen.

Zu den auswertbaren Ergebnissen gehören beispielsweise:

• Anzahl der Touren;
• gesamte Fahrzeit;
• Gesamtdistanz;
• eingesetzte Fahrzeuge;
• eingeplante und nicht eingeplante Sendungen und Abholungen.

5. Ergebnis operativ prüfen

Ein mathematisch effizientes Ergebnis ist nicht automatisch das beste Ergebnis für den realen Betrieb.

Disponenten sollten unter anderem prüfen:

• ob alle relevanten Transporte eingeplant wurden;
• ob die Fahrzeugauslastung realistisch ist;
• ob einzelne Touren unverhältnismäßig lang sind;
• ob operative Restriktionen berücksichtigt wurden.

6. Ausgewähltes Ergebnis übernehmen

Erst nach dieser Prüfung sollte das Ergebnis in die operative Planung übernommen werden.

Beim Übernehmen der Optimierungsergebnisse erzeugt CADIS die entsprechenden Touren und ordnet die Sendungen beziehungsweise Abholungen zu.

Routenoptimierung ist nur ein Teil der Planung

Im täglichen Transportbetrieb stellt sich häufig eine weitere entscheidende Frage:

Wie gelangen Sendungen überhaupt auf die richtige Tour, bevor optimiert wird?

Hier kommen Routing, Disposition und regelbasierte Automatisierung ins Spiel.

Von Routing-Regeln zur automatisierten Disposition

Mit steigendem Transportvolumen wird eine vollständig manuelle Disposition immer aufwendiger.

CADIS kann unterschiedliche Informationen für die Tourenzuordnung verwenden, unter anderem:

• Postleitzahlgebiete;
• definierte Routings;
• Daten aus einem vorgelagerten System;
• Sendungsmerkmale;
• Dispositionsregeln.

In cadisSTUDIO können mit der Rules Engine detaillierte Dispositionsregeln definiert und vor ihrem Einsatz simuliert werden.

Dadurch lassen sich zwei Ansätze miteinander kombinieren:

Regeln bilden betriebliches Wissen ab.
Die Optimierung sucht innerhalb dieses Rahmens eine effiziente Lösung.

Wiederkehrende Touren mit flexibler Optimierung verbinden

Viele Transportnetzwerke arbeiten mit regelmäßig wiederkehrenden Touren.

In diesem Fall muss die gesamte Struktur nicht jeden Tag neu aufgebaut werden.

CADIS unterstützt Trip Templates für Last Mile und Line Haul.

Darin können unter anderem definiert werden:

• die Route;
• Ausführungstage;
• das Fahrzeug;
• bestimmte operative Merkmale.

Diese wiederkehrende Struktur lässt sich anschließend mit Disposition und Optimierung verbinden.

Warum die Sequenzoptimierung weiterhin wichtig ist

Auch wenn Sendungen bereits einer Tour zugeordnet wurden, kann die Reihenfolge der Stopps häufig noch verbessert werden.

In cadisSTUDIO steht dafür die Sequenzoptimierung für First-Mile- und Last-Mile-Touren zur Verfügung.

Sie kann beispielsweise vor der Beladung eingesetzt werden, um eine geeignete Stoppfolge zu berechnen.

Auch noch nicht ausgeführte Stopps können erneut optimiert werden.

Dabei können die Reihenfolge sowie geplante Ankunfts- und Abfahrtszeiten aktualisiert werden.

Sieben typische Fehler bei der Routenoptimierung

1. Schlechte Daten optimieren

Falsche Adressen, ungenaue Kapazitätsinformationen oder fehlende Daten führen zu schlechteren Ergebnissen.

2. Immer mit 100 Prozent Kapazität planen

Theoretische Maximalauslastung lässt kaum Spielraum für operative Abweichungen.

3. Nur auf Kilometer achten

Die Entfernung ist nur eine Kennzahl.

Auch Fahrzeit, Fahrzeuganzahl, Zeitrestriktionen und operative Machbarkeit sind relevant.

4. Geokodierung unterschätzen

Ohne korrekte geografische Daten kann auch ein leistungsfähiger Optimierungsalgorithmus keine verlässliche Lösung erzeugen.

5. Erfahrung der Disposition vollständig ersetzen wollen

Optimierung funktioniert besser, wenn vorhandenes betriebliches Wissen korrekt als Regeln und Restriktionen im System abgebildet wird.

6. Jedes Optimierungsergebnis sofort übernehmen

Die Möglichkeit, unterschiedliche Szenarien zuerst zu vergleichen, gibt der Disposition mehr Kontrolle.

7. Planung und Ausführung voneinander trennen

Eine optimierte Tour erzeugt nur dann operativen Nutzen, wenn sie anschließend in die weiteren Transportprozesse überführt werden kann.

Checkliste für eine TMS-Routenoptimierungslösung

Prüfen Sie bei der Auswahl einer Lösung, ob sie:

• Zustellungen und Abholungen gemeinsam verarbeiten kann;
• unterschiedliche Fahrzeugtypen berücksichtigen kann;
• Kapazitätsrestriktionen unterstützt;
• zeitliche Restriktionen einbezieht;
• bei Bedarf nur ausgewählte Transporte optimieren kann;
• mehrere Szenarien vergleichbar macht;
• Ergebnisse auf Tour- und Stoppebene darstellt;
• bestehende Touren sequenzoptimieren kann;
• Geokodierungsprobleme behandeln kann;
• Dispositionsregeln integriert;
• wiederkehrende Tourenvorlagen unterstützt;
• Informationen aus vorgelagerten Systemen übernehmen kann;
• Planung mit der operativen Ausführung verbindet.

Wie CADIS in diesen Prozess passt

CADIS unterstützt mehrere aufeinanderfolgende Schritte im Transportplanungs- und Ausführungsprozess:

Sendungs- und Abholdaten → Routing und Dispositionsregeln → Tourenerstellung → Routenoptimierung → Sequenzoptimierung → Beladung → Fahrerausführung

Die in der CADIS-Dokumentation beschriebene Routenoptimierung ist Bestandteil von cadisCONTROL.

cadisSTUDIO bietet ergänzende Funktionen unter anderem für Stammdaten, Regeln, Tourenvorlagen und Sequenzoptimierung.

Damit steht nicht nur die Berechnung einer Route im Mittelpunkt, sondern die Verbindung zwischen Planung und den nachfolgenden operativen Prozessen.

Wann lohnt sich Routenoptimierung besonders?

Routenoptimierung wird besonders relevant, wenn ein Betrieb mit folgenden Bedingungen arbeitet:

• schwankenden Transportvolumen;
• Zustellungen und Abholungen;
• unterschiedlichen Fahrzeugtypen;
• verschiedenen Kapazitätsrestriktionen;
• Lieferzeitvorgaben;
• häufigen Planänderungen;
• hohem manuellen Dispositionsaufwand.

Je mehr Restriktionen gleichzeitig berücksichtigt werden müssen, desto schwieriger wird es, dauerhaft manuell einen effizienten Gesamtplan zu erstellen.

Fazit: Nicht nur die Route, sondern den Transportprozess optimieren

Professionelle Routenoptimierung bedeutet mehr, als lediglich den kürzesten Weg zu finden.

Aufträge, Fahrzeuge, Geschäftsregeln, zeitliche Restriktionen und die tatsächliche Ausführung müssen zusammen betrachtet werden.

Genau darin liegt der Unterschied zwischen einem isolierten Routing-Werkzeug und einer Lösung, die in den Transportprozess eingebunden ist.

Möchten Sie prüfen, wie CADIS Ihre Prozesse für Planung, Disposition und Routenoptimierung unterstützen kann?

Sprechen Sie mit CADIS über Ihre aktuellen Transportprozesse und operativen Anforderungen.

s sure that no shipmentpauses, even in the event of an unforeseen circumstance.

FlexibilityUnder Duress

Let's sayyour driver's car breaks down in the middle of a delivery route. This used toset off a series of phone calls, rescheduling, and delays. This becomes aprecise, real-time logistics operation with little downtime when using CADIS.

Dispatcherscan quickly switch a whole trip to another available vehicle by using routeoptimization software. The new assignment is automatically followed by allrelated data, such as stop sequence, load information, and route optimization.The CADIS mobile app instantly provides the driver with the most recent tripinformation, guaranteeing a smooth delivery process.

Theoutcome? No time lost. No mayhem. Just efficient, flexible logistics thatmaintain customer satisfaction and operational efficiency.

Map with aLive Vehicle SwitchTMS Route Optimization: A Practical Guide for Transport Professionals

Route optimization sounds simple: find the shortest or fastest way to visit a set of stops.

In real transport operations, it is rarely that simple.

A dispatcher does not plan dots on a map. They plan deliveries and collections with different priorities, vehicle capacities, equipment requirements, time restrictions and operational constraints. And once the plan is ready, somebody still has to assign the shipments, prepare the vehicle, communicate the trip to the driver and react when reality changes.

That is why TMS route optimization should not be viewed as an isolated routing algorithm. Its real value comes from connecting optimization with the wider transportation workflow.

This guide explains what logistics professionals should expect from route optimization within a Transportation Management System (TMS), which data matters, where optimization projects commonly fail and how solutions such as CADIS approach the process from planning through execution.

What is TMS route optimization?

TMS route optimization is the process of using transportation data, operational constraints and optimization logic to build more efficient transport plans.

Depending on the operation, the objective may be to:

• reduce total driving distance,
• reduce driving time,
• improve vehicle utilization,
• use fewer vehicles,
• meet delivery and collection requirements,
• create feasible stop sequences,
• or balance several of these objectives simultaneously.

The important word is feasible.

The mathematically shortest route is not necessarily the route a transport company can actually execute.

A route might look efficient on a map but fail operationally because the vehicle does not have enough payload, a shipment needs equipment that the vehicle does not have, a customer must be reached within a certain time window or the stop data is incomplete.

For transport professionals, good optimization therefore means:

Finding an efficient plan within the constraints of the real operation — and making that plan executable.

Route optimization vs. simple route planning

Basic route planning answers a relatively straightforward question:

In which order should these stops be visited?

A more complete TMS route optimization process can answer a broader question:

Which shipments and collections should be assigned to which routes and vehicles, and in which sequence should those stops be executed?

That distinction matters.

There are typically two optimization levels in transport planning.

1. Route or trip creation

The system determines how shipments and collections should be distributed across available routes or vehicles.

This is where fleet size, vehicle type and capacity become important.

2. Stop sequence optimization

Once a trip exists, the system determines the most appropriate order of its stops.

This can also be useful later in the operation. For example, if an additional collection is assigned to an existing trip, the remaining stops may need to be optimized again.

A mature TMS should support both workflows rather than treating routing as a one-time calculation.

The data that determines whether route optimization works

Optimization quality depends heavily on input quality.

Before discussing algorithms, transport companies should evaluate whether their operational data is complete enough to produce reliable results.

Shipment and collection data

The optimizer needs to know what must be transported.

Depending on the operation, relevant information can include:

• delivery and collection addresses,
• execution dates,
• shipment characteristics,
• weights and capacities,
• service requirements,
• time restrictions,
• and other planning-relevant properties.

Missing or inaccurate shipment data can make a technically correct optimization operationally unrealistic.

Geocoding

Optimization requires usable geographical coordinates.

An address that humans understand perfectly may still be ambiguous for a routing engine.

This is why geocoding should be part of the planning workflow rather than treated as an unrelated data-cleaning exercise.

In CADIS, planners can identify shipments with missing geographical information and geocode them. Address candidates can be evaluated and, when necessary, locations can be adjusted manually on the map.

This matters because poor geographical data does not simply reduce optimization quality. In some cases, it can prevent optimization altogether.

Vehicle data

Not every shipment can travel on every vehicle.

Relevant vehicle characteristics can include:

• payload,
• pallet capacity,
• equipment for dangerous goods,
• tail lift availability,
• and other fleet characteristics.

A useful optimizer therefore needs information about both the transport demand and the resources available to execute it.

Time restrictions

Transport operations often involve delivery or collection windows.

An optimized sequence must therefore consider not only distance but whether stops can realistically be reached at acceptable times.

This is an important distinction between a route that looks good on a map and a route that works in daily operations.

A practical TMS route optimization workflow

The following workflow provides a useful framework when evaluating or implementing route optimization.

Step 1: Define what should be optimized

Optimization does not always need to include every open shipment.

A dispatcher may want to optimize:

• all shipments and collections for a planning period,
• a particular geographical area,
• a shipment group,
• or only a selected set of orders.

CADIS supports route optimization for both broader planning sets and selected shipments and collections.

This gives planners an important level of control: optimization can support the dispatcher's workflow rather than forcing every planning situation into the same process.

Step 2: Define the fleet available for the calculation

The optimization should reflect the vehicles that can actually be used.

In CADIS, planners can work with individual vehicles or define the number of vehicles available by vehicle type.

These two approaches support different planning situations.

If specific vehicles are selected, vehicles can be assigned directly to the routes produced by the optimization.

Alternatively, planners can define how many vehicles of each relevant type are available and assign individual vehicles afterwards.

The optimizer can take vehicle characteristics such as payload, pallet positions, dangerous-goods equipment and tail-lift requirements into account.

This is a useful example of why route optimization inside a TMS differs from consumer navigation: the vehicle is part of the planning problem.

Step 3: Decide what the optimization should prioritize

Transport planning usually involves trade-offs.

For example, a planner may want to use as few routes as possible. In another operation, using the available fleet more broadly may be preferable.

The optimization strategy should therefore reflect the operating model rather than relying on one universal definition of an “optimal” route.

An important practical lesson is also to avoid planning theoretical capacity too aggressively when the underlying shipment data contains uncertainty.

If a vehicle is planned to exactly 100% of theoretical capacity, even a small difference between planning data and physical reality can make the plan difficult to execute.

Step 4: Calculate — without immediately changing operations

This is one of the most valuable characteristics of an operational optimization workflow.

The first calculated result should be a scenario, not an irreversible operational decision.

In CADIS, an optimization result can initially be reviewed before it is applied. Planners can run different optimization scenarios and only apply the preferred result afterwards.

That allows the dispatcher to compare outputs such as:

• number of routes,
• total driving time,
• total distance,
• vehicle usage,
• scheduled and unscheduled shipments or collections,
• and route-level statistics.

This turns optimization into a decision-support process rather than a black box.

Step 5: Review the result operationally

A lower total distance does not automatically mean that the plan is better.

Before applying an optimization, review questions such as:

Were all relevant shipments scheduled?

An impressive route KPI is of little value if important orders remain unplanned.

Is vehicle utilization realistic?

Look beyond the number of vehicles and check whether the resulting utilization makes operational sense.

Are there extreme routes?

Average values can hide one route that is exceptionally long or difficult.

Can the resulting plan actually be executed?

The dispatcher should still be able to understand the routes, stops and map output before committing the plan.

CADIS provides route summaries, scheduled and unscheduled orders, route statistics, stop information and map visualization to support this validation.

Step 6: Apply the selected optimization

Only once the planner is satisfied should the calculated scenario become operational.

In CADIS, applying the optimization creates the routes and assigns the relevant shipments and collections to them.

That separation between calculate, review and apply is significant.

It lets optimization support the planner instead of replacing operational judgment.

Route optimization is only part of the planning process

This is where many route optimization projects become too narrow.

Creating efficient routes is valuable. But a transport operation needs much more than efficient geometry.

Before a vehicle leaves the depot, the business may still need to answer:

• Which trip should each shipment belong to?
• Should that assignment happen automatically?
• Which trips repeat every day or every week?
• What happens when new shipments arrive?
• What if the host system already knows the planned trip?
• What if an address cannot be geocoded?
• Can the stop sequence be changed after dispatching?
• How does the optimized trip reach the driver?

This is why route optimization becomes significantly more useful when connected to dispatching, recurring trip planning, loading and execution.

From routing rules to automatic dispatching

Not every shipment needs a global optimization calculation to determine where it belongs.

Many transport networks already contain operational knowledge such as:

• postcode areas,
• outbound routes,
• recurring trips,
• customer-specific rules,
• product requirements,
• or other shipment attributes.

A TMS should be able to use that knowledge.

CADIS supports routing master data and a configurable rules engine for dispatching.

For example, a postcode range can be associated with an outbound route. Dispatch rules can then use shipment characteristics or route information to decide which planned trip should receive the shipment.

Rules can be simulated before they are relied upon operationally.

This creates an important distinction:

Optimization finds efficient solutions. Rules encode operational knowledge.

The strongest transport planning workflows often use both.

Recurring routes do not need to be reinvented every morning

A common misconception about route optimization is that every transport plan should be calculated from scratch.

That rarely reflects how established transport networks operate.

Many trips are recurring:

• Monday to Friday,
• specific weekdays,
• fixed service areas,
• habitual vehicles,
• established routes.

For those operations, trip templates can provide the planning structure while optimization improves the actual workload assigned to the trip.

CADIS supports trip templates for recurring transport. Templates can include route information, operating days and, where appropriate, vehicle information.

This allows planners to combine stable operational structures with dynamic optimization.

Sequence optimization: improving an existing trip

Sometimes the question is not “Which routes should we create?” but simply:

What is the best sequence for the stops already assigned to this trip?

Sequence optimization is particularly useful:

• before loading,
• after manual dispatching,
• when additional collections are added,
• or while refining the daily plan.

In CADIS, first- and last-mile trips can be sequence optimized while taking time restrictions into account. The resulting trip can include updated stop order and planned arrival and departure times.

Planners can also manually adjust a sequence when operational knowledge requires it.

This combination is important. Optimization proposes efficiency; the dispatcher retains control.

What happens when reality changes?

A transport plan begins ageing as soon as operations start.

New collections arrive. Shipment information changes. Stops become problematic. Loading does not always match the original plan.

This is why route optimization should not be evaluated only by the quality of the first morning calculation.

A more useful question is:

How easily can the operation adapt when the plan changes?

For eligible trips, CADIS supports optimizing remaining stops and refining sequences when planning conditions change.

This helps connect optimization with real dispatch operations instead of treating the calculation as a static plan produced once per day.

7 practical mistakes to avoid in TMS route optimization

1. Optimizing bad data

Poor addresses, incorrect shipment dimensions or incomplete vehicle information create poor optimization results.

No routing algorithm can compensate indefinitely for unreliable source data.

2. Treating 100% vehicle capacity as the target

Theoretical utilization and practical loading are not always identical.

Operational buffer can be valuable, especially when shipment data is approximate.

3. Looking only at total kilometres

Distance matters, but it is not the only KPI.

Also examine:

• number of routes,
• driving time,
• vehicle utilization,
• unplanned orders,
• time restrictions,
• and operational feasibility.

4. Optimizing before geocoding is under control

If location quality is poor, route quality will be poor.

Make geocoding quality visible to planners.

5. Replacing dispatching knowledge with an algorithm

Experienced dispatchers know customer requirements, local constraints and recurring operational patterns.

Good software should make that knowledge usable through rules, master data and manual control.

6. Making optimization irreversible

Planners should be able to inspect results and compare scenarios before creating operational trips.

Optimization should support a decision, not force one.

7. Buying a routing tool without considering execution

Ask what happens after the route has been calculated.

A real transport workflow continues through dispatching, loading, communication with drivers, execution, exception handling and monitoring.

That is where the difference between a standalone optimizer and an integrated TMS becomes visible.

A practical checklist for evaluating TMS route optimization software

When comparing solutions, ask whether the system can:

• optimize both deliveries and collections;
• use real vehicle capacities and vehicle characteristics;
• take time restrictions into account;
• identify orders that could not be planned;
• optimize selected subsets as well as broader shipment volumes;
• compare scenarios before applying them;
• show route, stop and map-level results;
• optimize the sequence of an existing trip;
• support geocoding corrections;
• combine routing with configurable dispatch rules;
• use recurring trip templates;
• integrate with the upstream host system;
• and continue the process through operational execution.

The more of these activities take place in disconnected tools, the more manual coordination the dispatcher has to perform.

Where CADIS fits into the route optimization process

CADIS approaches route optimization as part of a wider transportation execution process.

Depending on configuration and use case, the workflow can combine:

Shipment and collection data → routing and dispatch rules → trip creation → route optimization → sequence optimization → loading → driver execution → monitoring.

That integrated approach is particularly relevant for transport operations where planning cannot be separated cleanly from what happens in the depot and on the road.

CADIS route optimization can build routes from shipments and collections while considering the available fleet. Planners can calculate different scenarios, inspect results and apply an optimization only when they are satisfied with it.

For recurring operations, trip templates and routing master data can establish the planning structure.

For automated workflows, dispatch rules can determine how shipments are preassigned to suitable trips.

And when a specific trip needs refinement, sequence optimization can reorder stops while considering planning restrictions.

The objective is not simply to produce an attractive route on a map.

It is to help turn transport demand into an operationally executable trip.

Is route optimization right for every transport operation?

Not every fleet needs the same level of optimization.

If a business runs a handful of fixed routes with almost no daily variation, sophisticated dynamic optimization may provide limited additional value.

Its value tends to increase when:

• shipment volumes change from day to day,
• deliveries and collections must be combined,
• several vehicle types are available,
• capacity constraints matter,
• time restrictions influence planning,
• planners regularly reorganize trips,
• or dispatching requires significant manual effort.

The right question is therefore not simply:

“Do we need route optimization?”

It is:

“Which parts of our current planning process require too much manual decision-making, and which of those decisions can be supported by better data, rules and optimization?”

Final takeaway: optimize the operation, not just the route

Route optimization can reduce unnecessary transport effort, but its biggest impact comes when it is connected to the rest of the TMS workflow.

For transport professionals, the goal should not be to find software that produces the shortest line between a series of stops.

The goal should be to create realistic, efficient and executable transport plans, using the fleet, shipment data and operational rules that exist in the real world.

That means combining automation with dispatcher control, optimization with operational constraints and planning with execution.

That is the role route optimization can play inside CADIS.

Want to see how this would work with your transport operation?

Every network has different shipment structures, fleet constraints and dispatching logic.

Talk to CADIS about your current planning process and see how route optimization, automated dispatching and transport execution could work together in one workflow.

[Request a CADIS demo]

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Fordispatchers, CADIS incorporates a real-time, map-based control center. Userscan view all of the vehicles that are currently in use, along with theirassigned tours and real-time positions, in a matter of seconds.

Dispatchers can easily switch vehicles byclicking, dragging, and dropping the trip to a different vehicle right on themap.

What wasonce a difficult decision-making process is made simpler by this visualworkflow. From driver instructions to warehouse loading, the systemautomatically updates all linked data streams, recalculates ETAs, and verifiesroute optimization parameters.

One of themain components of CADIS's objective to infuse intelligence and adaptabilityinto contemporary logistics management is this real-time vehicle reassignment.

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