Time & windows
Multiple time windows on the same stop
A customer open 8-12 and 15-18 gets served in one of the two windows, declared exactly as they are.
OptivoRoute — Route Optimization
OptivoRoute is the route optimization software for last-mile delivery: upload the file as-is, the AI cleans the data and computes the best routes within your real constraints.
Book a demo: we'll show the optimization on your own real routes.
Every morning, hours lost building routes in Excel without knowing if they're actually the most efficient. OptivoRoute computes optimal routes considering time windows, capacity, LEZ/ZTL and driving times, and adapts to the way you already work, without disrupting your processes.
Optivo's AI engine calculates optimal routes considering all your business constraints. Upload your data, launch the optimization, and in minutes your routes are ready.
No data preparation
Orders that come in through intake feed the engine directly. No retyping, no spreadsheet to normalize before you can run the optimization.
Multi-constraint optimization
Time windows, vehicle capacities, multiple warehouses, priorities: the engine considers all constraints simultaneously.
Customizable constraints
Constraints built specifically for your industry: fixed points, owner-operators, mandatory sequences, specific restrictions.
eFTI documents
Automatic generation of transport documents, waybills and digital delivery notes compliant with European eFTI regulations.
Considering Optivo as an Excel alternative? Read the detailed comparison →
Constraints
Optimizing is not lining stops up on a map. A route breaks because of a detail the software never knew it had to respect. The van carrying three temperatures at once, goods picked up in the morning that have to go back out in the afternoon, a transfer that happens in a lay-by rather than at the depot. The constraints below are already built and ready to switch on, not custom development to quote for.
Vans with separate compartments for ambient, chilled and frozen goods, whose geometry can change. The engine accounts for which goods fit which compartment and for how the usable volume shifts.
Goods collected at one point have to be delivered across several later stops on the same route. The two halves stay tied together: if the pickup fails, the deliveries that depend on it fail with it.
The route that comes back to the depot mid-day, sorts the load and leaves again for a different area. Two trips that are really one shift, same vehicle and same driver.
Moving goods from one vehicle to another at a meeting point that is not the warehouse. The engine treats it as a constrained stop for both vehicles, not as two unrelated routes.
Multiple windows on the same customer, visit orders imposed by contract, stops that have to stay first or last on the route.
Own vehicles and external carriers with different costs and availability, plus restricted traffic zones, low emission zones and city size limits.
The engine manages more than ninety optimization parameters, each documented in a versioned technical sheet. Below are the main ones already available, searchable by keyword or filterable by family. These are examples, not the boundary: parameters combine with one another, and the combinations are beyond counting.
46 / 46 · matching examples
Time & windows
A customer open 8-12 and 15-18 gets served in one of the two windows, declared exactly as they are.
Time & windows
Vehicles do not leave before opening time and return before closing.
Time & windows
A vehicle starts its route no earlier than one time and wraps it up by another.
Time & windows
An order forces its route not to leave before a set time, so fresh goods load last and leave late.
Time & windows
The route serving that stop must close by the given hour, for deliveries that have to make it back.
Time & windows
How much window overrun is acceptable, per stop or across a vehicle's whole day. Zero included.
Time & windows
Every stop has its own loading or unloading time, and the calculation keeps it inside the window.
Time & windows
The booked dock slot becomes a hard window on that stop, and the route is built around the time you were given.
Time & windows
Every visit to the DC has its own slot and the plan fits them together without overlaps. Vehicles arrive in sequence, not in a queue.
Time & windows
For the vehicle and for the single stop, like the old town where you circle for ten minutes before you can unload.
Vehicles & capacity
Weight, volume and packages together. The vehicle is full when the first of the three runs out.
Vehicles & capacity
An order tagged LEZ or Frozen only travels on vehicles carrying the same permission.
Vehicles & capacity
The customer down the alley only the small van can reach, regardless of capacity.
Vehicles & capacity
Define the type once (van, rigid truck, articulated) and how many vehicles you have per type.
Vehicles & capacity
Three separate ceilings on daily distance, time away from the depot and number of deliveries.
Vehicles & capacity
The battery is a capacity that drains with distance and renews at charging points. The range to respect is the vehicle's real one, not the brochure figure.
Vehicles & capacity
Declared grams per kilometre per vehicle, and the route's total emissions for environmental reporting.
Goods & priorities
The pickup is always served before its linked delivery, and the two stay tied in the same flow.
Goods & priorities
Ambient, chilled and frozen on the same van, with volumes that shift. Built for a real customer.
Goods & priorities
A 150-unit order with 40-unit vehicles becomes four coherent deliveries, no manual work.
Goods & priorities
From low to critical. When vehicles cannot cover everything, a rule decides what goes out first, not chance.
Goods & priorities
The stop that must come first, or at least before others, with a sequence priority inside the route.
Zones & depots
Orders sharing a label end up on the same vehicle, and the customer always sees the same face.
Zones & depots
Territorial labels that keep two different areas off the same route.
Zones & depots
Each vehicle has its own start and end depots, or you let the system choose.
Zones & depots
A customer tied to a specific vehicle or a fixed route stays there, even while the whole plan is reoptimized around it.
Zones & depots
Monday has its routes, Thursday has its own. Recurring routes live on a calendar and get reoptimized without losing their shape.
Zones & depots
A vehicle can start at its first stop or finish at its last with no return leg, like owner-operators who keep the van.
Zones & depots
Goods moving between two vehicles in a lay-by or a car park, treated as a constrained stop for both.
Zones & depots
The route that comes back to the depot, sorts the load and leaves again. Two trips the system treats as one shift.
Drivers & breaks
Stop counts can be balanced across all vehicles or within the same class. Fewer routes ending at noon next to routes running past the shift.
Vehicles & capacity
The constraint that is better honoured but must not block the plan. The system tries and, when it cannot, it says so instead of stopping.
Vehicles & capacity
The same vehicle can go out more than once per shift. You decide how many times, and capacity resets at every return.
Drivers & breaks
Breaks after driving hours, a daily cap, shifts that end on time. Plans are born inside the limits instead of discovering them at day's end.
Drivers & breaks
The lunch break that must start between 12 and 3pm, up to five breaks per vehicle.
Drivers & breaks
Pure driving, excluding breaks, waits and unloading. It is the constraint that keeps plans within driving-time rules.
Costs
Each vehicle class has its own, and the optimization minimizes real money, not abstract kilometres.
Costs
The extra vehicle goes out only when the savings repay the cost of sending it out.
Costs
The owner-operator paid per delivery coexists with your own vehicles paid by the hour, in the same calculation.
Costs
Past a certain number of orders or kilometres the extra rate kicks in, and the system uses it only when it pays off.
Costs
The cost per kilometre can be the vehicle's emission factor. The engine minimizes grams of CO2 the way it would minimize euros.
Costs
Not just accounting. The order in which vehicles are deployed follows the cost parameters you declare.
Data & computation
Five deliveries in the same building count as one stop for route costs and limits, not five.
Data & computation
Every address is normalized by two independent engines, Google Maps and HERE.
Data & computation
An unresolvable stop snaps to the first valid address within a radius you set.
Data & computation
More quality or more speed. You choose the search level, and routes can be kept compact on the map.
Can't find it under this name?
Cards carry one name each; real constraints answer to many. And if what you need is not listed, that does not mean it cannot be done. The library grows with our customers.
Describe it in a demoIf the constraint you need is not in the library, we build it with you, starting from how you actually work.
Beyond the everyday routes: with OptivoRoute you simulate operational decisions before making them. Recalculate the impact of one more or fewer vehicles, evaluate a new client on a fixed route, estimate the marginal cost of an expansion.
Real-time what-if
Add or remove a vehicle, shift a time window, change a constraint: see the effect on distance, time and cost instantly.
Fixed-route decisions
Even fixed routes need re-optimizing. Check whether a new client fits the existing route or whether the network needs rethinking.
Clear marginal cost
Estimate the incremental TCO of one more vehicle or area, with objective data instead of gut feeling.
A web app the driver opens in the browser on their own phone. Three taps to close a delivery, and the same sequence holds from the first stop to the last. It is built to work for people who use their phone mostly to make calls.
Three taps to close a delivery
Pick the delivery, take the photo or collect the signature, confirm. There is nothing else to learn, and it is the same sequence at every stop.
Nothing to install, no app store
Works on any smartphone from the browser. The driver signs up with an email and a password and gets going. No download, no updates to manage, no compatibility issues.
Works for drivers who are not your employees
An owner-operator working with you for a single week signs up and starts the same day. Nothing to configure vehicle by vehicle, no training session to organize.
Delivery list
Drivers see the complete list of stops with times, notes and transport documents.
Digital Proof of Delivery
Digital signature, delivery photos and notes. Proof of delivery reaches the dispatcher in real time.
Integrated navigation
Navigate to the next stop with one tap. Support for new stops added during the route.
The big picture of your entire fleet and deliveries. For dispatchers and logistics managers who need to manage the day in real time.
Centralized view
Map with vehicle positions, delivery status, delays and progress for every route.
Alerts & notifications
Automatic alerts for delays, missed deliveries, route deviations and anomalies.
Dynamic replanning
Add new stops during the day. The system recalculates routes automatically or suggests the best solution.
Concrete results
−2 trucks/day
Bonduelle, first OptivoRoute optimization tests
Industry benchmark: 10-20% fewer km, 10-15% fuel saved, and planning from half a day to a few minutes. On a 20-vehicle fleet that's tens of thousands of euros a year.
Frequently asked questions
Resources and deep dives
Calculator: how much can you save on delivery routes?
Free tool: vehicles, stops, km and planning hours → an honest estimate of the annual savings, as a range.
How to optimize delivery routes
The practical guide: the constraints that matter, mistakes to avoid, and the jump from manual to automatic.
From Excel to automated route planning
Why the spreadsheet doesn't scale and how to move to a system that recalculates in minutes.
Delivery time windows: how to manage them
Handling multiple time constraints without breaking the routes.
The ROI of route optimization software
How to quantify the savings in kilometres, fuel and planning hours.
Planning routes with owner-operators
Optimizing a mixed fleet of owned vehicles and owner-operators with different constraints and costs.
Optimizing fixed routes in pharma distribution
Even fixed routes need re-optimizing: the intermediate distribution case.
Find out how many km and hours you can save on your delivery routes.
Find out how much you can save