Industry
Delivery & Dispatch Software for Fuel Delivery
Optimize fuel delivery routes with capacity constraints, time windows, and proof to reduce miles and overtime.
Built for: Fuel delivery operators looking for routing + dispatch that accounts for capacity, windows, and exceptions.
If you run Fuel Delivery operations, you already know the hardest part is not creating a plan. It is staying in control when the plan breaks.
You are probably dealing with:
- Routes become infeasible when capacity constraints are ignored
- Time windows and site rules vary by location
- Drivers lose time with access issues and paperwork
Lynxo gives you a real-time command center for route-based work: live map, route edits, realistic ETAs, proof, and the analytics to lower cost per stop.
What you get on day one
- A dispatch workflow your team can follow without spreadsheets
- A driver app that keeps work moving even when connectivity drops
- Proof and timestamps that reduce disputes, callbacks, and write-offs
Common challenges in Fuel Delivery
- Routes become infeasible when capacity constraints are ignored
- Time windows and site rules vary by location
- Drivers lose time with access issues and paperwork
- Dispatch cannot quickly rebalance when one route falls behind
- Proof is needed for disputes and compliance
KPIs to improve
- Cost per stop
- Miles per gallon delivered
- On-time %
- Stops per route
- Exception rate
In the real world
These are the moments where operations either stay in control or the day turns into firefighting.
Capacity mismatch
Situation
A route exceeds vehicle capacity after an add-on stop.
What breaks
Driver must return to depot or miss stops.
How Lynxo responds
Use constraints to prevent infeasible plans; dispatch can split the route and reassign stops.
Improves
Feasibility · Less rework · On-time %
Site access issue
Situation
A site is closed or access code is wrong.
What breaks
Stop fails; later stops are impacted.
How Lynxo responds
Capture exception reason + proof; re-optimize remaining stops and reschedule.
Improves
Failed delivery rate · Support workload · Customer trust
Traffic delay threatens windows
Situation
Traffic pushes a key stop beyond its window.
What breaks
SLA breaches and penalties.
How Lynxo responds
Predictive routing flags delay early; dispatch resequences to protect windows.
Improves
SLA protection · ETA accuracy · Fewer penalties
Typical workflow
- 1
Intake + validation
Import stops via API; validate addresses, time windows, and required fields before dispatch.
- 2
Dispatch planning
Assign work to the right crews and vehicles based on zone, capacity, skills, and SLA urgency.
- 3
Route optimization
Build feasible sequences with realistic service times and constraints (windows, pickups/returns, access rules).
- 4
Execution (driver app)
Drivers run the plan with offline support; dispatch can resequence, reassign, or split routes live.
- 5
Proof + exceptions
Capture photos/signatures/GPS, and track exceptions with reasons so disputes and compliance are covered.
- 6
Analytics + improvement
Measure on-time and cost-per-stop by zone/crew; use the data to tighten windows and reduce rework.
Constraints to design for
Capacity planning
Vehicle capacity and drop quantities affect routing feasibility.
Site access rules
Gate codes, safety rules, and dock procedures vary.
Time windows
Some sites only accept deliveries at specific times.
Proof/compliance
Document drops and exceptions.
How you would configure Lynxo
This is the practical setup checklist that makes the workflow work in Fuel Delivery.
Stops + windows
- Define stop types
- Set time windows
- Set service times
- Require proof fields
Routing rules
- Zones/territories
- Driver capacity
- Skills/vehicle types
- Exception handling
Integration
- Create jobs via API
- Push status via webhooks
- Sync proof
- Close the loop to ERP/CRM
How Lynxo fits
Real-time command center (live map, route edits)
Predictive routing (traffic + delay-aware adjustments)
Customer notifications + ETAs
Driver app with offline mode
Proof of delivery (photo/signature/GPS)
Analytics for window and zone performance
API + webhooks for two-way sync
Placeholder visual. Replace with real screenshots later.
Integrate via API + webhooks
Connect orders/jobs into Lynxo, and push status updates and proof of delivery back to your systems. This keeps dispatch accurate and eliminates double entry.
Typical systems: CRM/ERP, order intake, notifications (SMS/email), support tools, and BI.
What to measure
Use these targets as a starting point. As you onboard real customers, replace them with your own benchmarks.
On-time %
95%+
Start by tightening windows only where needed.
Cost per stop
Down 10-25%
From fewer miles and better sequencing.
Failed/redo rate
Down 20-40%
From better proof and exception workflows.
ETA-related calls
Down 30-60%
From proactive notifications.
Dispatcher hours/day
Down 1-3 hours
From fewer manual calls and spreadsheets.
Stops per route
Up 5-15%
Depends on service times and density.
FAQ
Can you account for capacity constraints?
Yes. Capacity and service times help keep routes feasible.
Is proof supported?
Yes. Photo/signature/GPS and exception reasons.
Can we reroute during the day?
Yes. Live dispatch edits and resequencing.
Can we integrate with our order system?
Yes via API + webhooks.
Is this useful for small fleets?
Yes. Start free and scale.
Start free for Fuel Delivery
Set up routes, dispatch drivers, and measure performance without long onboarding cycles.
Start free for Fuel Delivery
Routing + dispatch + ETAs + proof. No credit card required to start.