Delays that start at the warehouse, freight that eats the margin, trucks that return empty and idle at the dock. A logistics dashboard that shows where delivery leaks, and a website that brings the next shipment.
Network stress test
Switch on an event and watch the network react. The number is a simulation; the method is the dashboard's.
OTIF · P85 · cost per ton-km · empty returns · detention · PT · EN · ES
Why logistics is the topic that weighs most on results
Sources: ILOS, via CNN Brasil · Times Brasil / CNBC · Law 11,442/2007 (Brazil)
Each box is a real road-freight pain. Scan it to open the manifest: what the manager says, what the dashboard shows and on which screen.
Pick a box. Each one carries the pain, the sentence heard on the operation floor and the dashboard's answer.
“Average delivery is three days. Customers still complain every week.”
Percentile lead time: P50, P85 and P95 transit by route against the promised date. P85 is the lead time you can really keep.
Dashboard screen: Lead timeKPI: P50 · P85 · P95
“It arrived on the right day, but an item was missing, damaged or had no invoice. For the customer, it failed.”
OTIF and perfect order: they show the stage where the order is lost (delay, damage, paperwork, first attempt).
Dashboard screen: Lead timeKPI: OTIF
“I close the month billing more and keeping less. I don't know which customer or route pays the bill.”
A waterfall from freight to margin, and cost per ton-kilometer by customer, route and cargo type.
Dashboard screen: CostKPI: R$ / ton-km
“We take cargo to the Northeast and come back with nothing. Nobody measures what that costs.”
Empty km, load factor per vehicle and the corridors with most empty returns, with cost and CO₂ alongside.
Dashboard screen: FleetKPI: % empty km
“The driver spent the day in the customer's queue. Detention exists, but I don't charge it.”
Dwell time per customer and segment and the cost of detention, to negotiate or bill what is owed.
Dashboard screen: CustomersKPI: idle hours
“Everyone blames the road. When I look, the truck already left the DC late.”
A 24-hour clock: departures and deliveries by hour, weekday × hour heat map and OTIF by departure hour.
Dashboard screen: ClockKPI: OTIF by hour
“At year-end the DC goes past 95% and the dock turns into a queue. We only find out about overflow afterwards.”
Monthly occupancy per DC, pallets per cargo type and arrivals by hour with the dock queue.
Dashboard screen: WarehousesKPI: % occupancy
“Late inbound, short stock, and each one blames the other.”
On-time ranking of suppliers and carriers, distance × delay and a list of routes to renegotiate.
Dashboard screen: Suppliers and ActionsKPI: punctuality
You've read all eight parcels. Tell us which ones weigh on your operation and we'll return with a clear path, no commitment.
Tell us on WhatsApp →Drag the promised lead time and see how many deliveries arrive in time. That's why the dashboard shows percentiles (P50, P85, P95) and not just the average.
Transit time (days)
The average mixes the normal day with the bad day. P85 says in how many days 85% of deliveries have already arrived; it is the lead time the operation can sustain. P95 shows the tail, where complaints and fines live.
Illustrative (lognormal) distribution to explain the concept. In the dashboard, the P50–P95 band uses each route's real transit.
This is Rotavia Logística, a dashboard we built as a demo for a fictional operator. Filter, browse the screens and open it full screen. The data is made up; the design, the questions and the care in reading are the ones we deliver.
Questions the dashboard answers
Enter your operation's numbers. The calculation runs in your browser, nothing is sent, and the result is an estimate to start a conversation, not a promise.
Checked by: 1 dashboard, continuous use, weekly review.
See this with my real data →Simple estimate. Empty = trips × km × cost per km × % empty (return leg). Waiting = trips × hours × hourly cost. Detention billing depends on the contract and Brazilian Law 11,442/2007; confirm current values with ANTT.
Switch on the statements that describe your reality today. Nobody sees it, and the needle shows your visibility level.
0/6 views active
Talk about my level →What it is, how it is calculated, how to read it and where the trap lies. The dashboard ships all of them ready and documented.
Delivery on time and complete.
orders on time and complete ÷ orders deliveredDelivery with no failure at all.
on time, complete, undamaged, correct paperwork and first attemptIn how many days half, 85% and 95% of deliveries arrive.
sort transit times and read the percentile valueWhat it costs to move one ton for one kilometer.
total freight cost ÷ (tons × km)Share of kilometers driven without cargo.
empty km ÷ total kmHow much of the capacity travels filled.
cargo carried ÷ capacity (weight or volume)Time a vehicle sits at the customer or dock.
departure time − arrival timeDeliveries completed without a second trip.
first-attempt deliveries ÷ deliveries madeEach front works alone, but together they close the loop: the site brings the quote, the dashboard shows what to do with the operation.
We also build your carrier's website, landing pages for freight and storage campaigns, and pages for Google ads.
In logistics, the most tempting data is often the riskiest. That's why the design starts with what is left out.
Vehicles are identified by code. A person's name and plate are personal data and stay out of the analytics dashboard.
The dashboard reads what your TMS, ERP and WMS export. Routing and document issuing stay in their own systems.
Limits and targets are your operation's. When a reference comes from an outside source, the source shows on screen.
Every KPI has a written definition, and what the data can't compute is said. A percentile never becomes an average for convenience.
We talk about the questions you can't answer today and where the data comes from: TMS, ERP, WMS, spreadsheets.
We define KPIs, alerts and the look before writing the first line. You approve on paper.
We connect, model and publish. You validate each step with your own numbers.
We see what the team really opens and adjust. The dashboard evolves with the operation.
A panel that gathers the operation's KPIs (lead time, OTIF, cost per ton-kilometer, load factor, empty returns, detention, warehouses and suppliers) in one view, so you decide with data instead of an end-of-month spreadsheet.
No. We work with what your TMS, ERP, WMS and spreadsheets can export (CSV, Excel or database). We confirm the sources in the diagnosis.
Both. With a few vehicles the focus is usually lead time, cost per trip and empty returns. With many routes and DCs, warehouses, suppliers, targets and seasonality come in.
Because the average hides the tail: half the deliveries sit above the average lead time. P85 is the lead time 85% of deliveries meet, and it is what you can safely promise.
This version is analytical: it shows what happened and where to act. Real-time tracking depends on the telemetry you already use and can be integrated later, case by case.
We work with the minimum necessary, per-user access profiles and aggregates instead of individual data. Named drivers and plates stay out. The data remains yours.
No. We assess with you the publishing format and licensing that suit the size of your operation.
It depends on scope and source quality. In the diagnosis we set deadlines, deliverables and prices in writing before starting.
Three articles that show the rigor behind the dashboards.
Tell us which question your logistics still can't answer. We'll return with a clear path, no commitment.
Chat on WhatsApp →Reply by WhatsApp or email. No bots.