Your TMS holds thousands of trips, dozens of clients, years of history. But it shows them as rows in a table. What if you could see all of that on a single map — routes, patterns, gaps, and opportunities visible at a glance?
Why spreadsheets aren't enough
Data in rows and columns is hard to interpret spatially. A planner staring at a spreadsheet with 500 routes can't spot geographic patterns. They can't see corridor density. They can't identify coverage gaps. Regional imbalances stay invisible.
New freight requests get matched based on memory, habit, or gut feel — not data. You miss follow-up load opportunities because you can't see them. Planners spend hours filtering and sorting instead of thinking strategically.
What you need
To visualize transport data effectively, you need three things:
- Your route data in CSV or Excel. Origin, destination, client, date — that's the minimum. Optional: load type, weight, distance, revenue.
- A mapping tool built for transport. Not a general geospatial tool. One that understands freight corridors, understands "from A to B," and can show density and flow.
- Filter and analysis capabilities. Filter by client, date range, region, or corridor. Analyze which customers generate the most volume. See which corridors are underutilized.
Step-by-step: from TMS export to map
Export your data from your TMS
Most TMS systems can export to Excel or CSV. Look for a reports section or data export feature. You need at minimum: origin, destination, client, date. Most TMS systems allow custom exports, so request what you need.
Upload to FleetWish
Drag and drop your file. Map the columns (where is the origin city? which column is client name?). FleetWish auto-detects common column names. Upload is instant.
Explore your network
Zoom and pan. Filter by client or date range. See route density. Which corridors light up? Which regions are quiet? Which clients generate the most volume?
Analyze with heatmaps
Toggle the heatmap to see loading vs. unloading imbalances per region. Which areas are net-importers (more goods coming in)? Which are net-exporters? This shows you where empty kilometers happen.
Find opportunities
Use the nearest route finder to match new requests to existing corridors. Click an unload point, and FleetWish shows you historical loads departing nearby. Match the return trip.
What you'll discover
Once you visualize your network, patterns emerge.
Which corridors are strongest. Berlin-Amsterdam runs 50+ times per month. Paris-Lyon runs 30 times. These are your core flows — invest in partnerships here.
Where trucks return empty. You load constantly from Munich to Milan. But your Milan outbound is sparse. That's where your empty kilometers live.
Which clients generate the most routes. Client A generates 100 routes per quarter. They're worth optimizing for. Client B generates 3. Different strategies apply.
Which geographic gaps exist. You cover Germany and France well. But Spain and Portugal? Sparse. That's a market gap or a gap in your sales reach.
Which historical quotes never converted. Filter by "quoted but not executed." Which corridors keep showing up in failed quotes? That signals a pricing issue or a competitor advantage.
Pro tip: Compare your network map to your cost structure. High-density corridors should have lower handling costs. Sparse corridors should trigger partnerships or pricing reviews.
Get started
FleetWish was built exactly for this. No IT projects. No complex data pipelines. Upload your TMS export and see your routes on a map in under 5 minutes.
Once visualized, your data starts working for you. You'll spot empty kilometer patterns. You'll find follow-up loads faster. You'll make routing decisions backed by data, not intuition.