Planning routes by hand works for ten stops. At hundreds of stops with time windows, vehicle limits and late orders, it costs fuel, overtime and missed deliveries every day.
Codersarts route optimization software solves your real routing rules with proven optimization methods and puts the routes in front of planners and drivers.
What Is Route Optimization Software?
Route optimization software calculates the most efficient routes for a fleet visiting many stops. It solves the vehicle routing problem with real constraints such as delivery time windows, vehicle capacity and type, driver shifts and breaks, depots, priorities and traffic, then sends routes to drivers and re-plans when orders, traffic or vehicles change.
Off-the-shelf routing tools cover common rules. Custom optimization pays off when your constraints are unusual, your volumes are high, or routing is part of your product.
Who This Is For
Last-mile delivery and courier companies
Distributors and FMCG delivery fleets
Field service and installation teams
Waste collection and utilities
Grocery and quick commerce operators
What We Build
Route solver
Vehicle routing with your constraints. See combinatorial optimization.
Constraints
Time windows, capacity, skills, breaks, depots and priorities.
Maps and distances
Road networks, travel time matrices and traffic data.
Planner tools
Drag-and-drop editing, what-if scenarios and approvals.
Re-planning
Same-day changes for new orders, cancellations and delays.
Driver app
Turn-by-turn stops and proof of delivery. See logistics app development.
Analytics
Planned vs actual distance, time and cost.
Routing Approaches
Approach | Best for | Trade-offs |
|---|---|---|
Routing SaaS | Standard delivery rules | Per-vehicle fees and limited customization |
Open-source solvers (OR-Tools, VROOM) | Custom rules with moderate scale | Needs engineering to tune and run |
Custom optimization | Complex constraints or routing as a product | Higher build and tuning effort |
Common Routing Problems We Fix
Problem | Usual cause | Fix |
|---|---|---|
Routes take hours to plan | Manual planning | Automated route solver |
Drivers ignore planned routes | Routes miss real-world rules | Constraint tuning |
Solver too slow for same-day changes | Inefficient algorithm | |
High map API bills | Recomputing distance matrices |
How Much Does Route Optimization Software Cost?
Cost depends on constraints, stop volume, re-planning needs and apps.
Scope | Typical timeline | Typical cost |
|---|---|---|
Route optimization proof of concept | 3 to 6 weeks | $8,000 to $25,000 |
Routing engine with planner tools | 2 to 4 months | $30,000 to $90,000 |
Full platform with driver apps and re-planning | 4 to 8 months | $90,000 to $200,000+ |
What changes the cost: constraint complexity, stops per day, re-planning, map providers, driver apps and integrations.
Ranges are typical for a global team. Your price is fixed after scoping, before any work starts.
Ways to Start Small
Starting point | Best for | From |
|---|---|---|
Testing savings on your own data | Fixed price | |
Lower map API costs | $199 | |
A ranked bug list for an existing platform | $199 | |
Ongoing fixes with a fixed budget | $290 for 10 hours |
How We Work
Collect. Historical orders, stops and routes.
Model. Your constraints and costs.
Prove. Compare optimized and actual routes.
Build. Solver, planner tools and APIs.
Deploy. Driver app and integrations.
Tune. Improve with real results.
What You Receive
Routes that respect your real rules
Planner tools and re-planning
Driver app or API
Planned vs actual analytics
Documentation and code ownership
Example Engagement: Routing for a Beverage Distributor
An illustrative example based on the pattern we see most often. Client details are kept confidential.
The situation: A distributor planned 40 trucks by hand each evening, often missing shop time windows.
What we did:
Modeled time windows, truck capacity and depot rules
Built a solver with OR-Tools and a planner screen
Sent routes to a driver app with proof of delivery
The result: Planning dropped from hours to minutes, distance per delivery fell and late deliveries became rare.
Mistakes to Avoid
Optimizing distance instead of total cost
Leaving out real constraints drivers know
No way for planners to adjust routes
Not measuring planned vs actual
Why Codersarts
Web, mobile, integration and AI engineers in one team
Routing, tracking and real-time data treated as engineering problems, not features to bolt on
Fixed-price tasks for small jobs, so you can start without a large contract
Integrations with carriers, ERPs and telematics handled properly
You own all code, data and accounts
Frequently Asked Questions
What is the vehicle routing problem?
The problem of finding the best routes for several vehicles serving many stops under constraints such as time windows and capacity.
How much can route optimization save?
It depends on your current planning; we prove savings on your own data in a proof of concept before a full build.
Do you use Google OR-Tools?
Often, along with VROOM and custom heuristics, chosen for your constraints and scale.
Can routes change during the day?
Yes, with re-planning for new orders, cancellations and delays.
Related Pages
Last-mile delivery software: dispatch and delivery.
Fleet management software: vehicles and drivers.
Logistics solutions: every logistics service in one place.
Plan Better Routes in Minutes
Share a few days of orders and routes, and we'll show what optimization could save.