Logistics dashboards
Supply chain analytics and logistics dashboards, built from your own data
Supply chain analytics means turning the records your operation already keeps into numbers you can act on: on-time delivery, order cycle time, pick accuracy, cost per shipment, carrier performance and where each shipment is right now. We build logistics dashboards that show those numbers on one screen, from the data in your WMS, TMS, accounting tool and spreadsheets, so nobody rebuilds the weekly report by hand.
Last updated 26 October 2026
On this page: The weekly report problem · Supply chain KPIs · Shipment tracking and proof of delivery · Dashboard examples · Analysis and data science · What it costs to start · What you need in place · When it is not worth it
The problem with the weekly report
Most logistics teams already measure their operation. The trouble is how. Someone exports from the WMS, someone else from the TMS, a third person pastes it into a spreadsheet on Monday morning, and by Wednesday the numbers are stale and nobody agrees on them.
Logistics analytics fixes the plumbing first and the picture second. The data flows from your systems on its own, each number has one written definition, and the screen shows the same answer to everyone.
What goes on the screen
We start from a standard set of supply chain and logistics analytics and keep only the ones you act on:
- Delivery: on-time pickup and delivery, by customer, lane and carrier.
- Warehouse: order cycle time, dock-to-stock time, pick accuracy, inventory accuracy.
- Cost: cost per shipment, per order or per pallet, and accessorial charges.
- Carriers: tender acceptance, claims and exceptions by carrier.
- Customers: volume, service level and margin by account.
- Shipments in motion: where each load is, what is late, and which deliveries still lack a proof of delivery.
Supply chain KPIs and warehousing KPIs a dashboard tracks
These are common supply chain and warehousing KPIs. Pick the few your team acts on, and agree how each one is calculated before anything is built.
| KPI | What it measures | Usually comes from |
|---|---|---|
| On-time delivery | Share of shipments delivered within the promised window | TMS, carrier tracking |
| On-time in full (OTIF) | Share of orders delivered on time and with the full quantity ordered | WMS or order system plus delivery data |
| Order cycle time | Time from order placed to order delivered (many warehouses also track order-to-ship time on its own) | Order system, WMS, delivery data |
| Dock-to-stock time | Time from a delivery arriving at the dock to the goods being available in inventory | WMS receiving records |
| Order accuracy | Share of orders shipped with the right items and quantities | WMS, customer claims |
| Inventory accuracy | How closely system stock matches a physical count | WMS, cycle counts |
| Cost per shipment | Total freight cost divided by the number of shipments (or per mile, order or pallet) | Carrier invoices, accounting |
| Dwell time | How long a truck or trailer waits at a facility | Yard or gate logs, dock appointment system, GPS or telematics geofence data |
| Tender acceptance | Share of loads offered to a carrier that the carrier accepts | TMS |
| Proof of delivery lag | Time from delivery to a signed proof of delivery on file, and the share of delivered loads still missing one | Driver app or carrier portal, TMS, billing |
A KPI nobody owns turns into decoration. Give each one a person who explains it when it moves.
Shipment tracking, freight visibility and proof of delivery
A shipment tracking app answers one question: where is this load? Carriers, telematics providers and freight visibility platforms already answer it, each for their own part of the trip. For many small operators, the issue is that the answer lives in five places: a carrier portal, an ELD feed, a driver text, an email and the TMS.
We do not build a tracking app for drivers. If you need one, buy shipment tracking software or use what your TMS or carriers provide. We build the view on top: one screen that pulls status from the feeds you already have, shows every load against its promised time, and flags the ones going late while there is still time to call the customer.
What is a POD in trucking?
A proof of delivery (POD) is the record that a load arrived: usually a signed delivery receipt or bill of lading, sometimes with a photo, a timestamp and notes on damage or shortage. In trucking, the POD is often what you need to send the invoice, so a missing POD can mean a load you cannot bill yet.
A POD view on the dashboard lists delivered loads with no POD on file, by carrier and by age. Matching each POD to its load and invoice is office work that logistics automation can take on.
Logistics dashboard examples
Three example layouts, described in words. They are starting points, not a fixed product.
- Warehouse daily view, for the warehouse manager. Today's orders received and shipped, open orders past cut-off, dock-to-stock time for this morning's receipts, and order accuracy by shift. Meant to be opened at the start of each shift.
- Client view, for a 3PL account manager. One page per client: volume this week against last, on-time shipping, order accuracy, stock on hand, and open issues. Suited to a weekly client call.
- Carrier scorecard, for the transport or dispatch lead. On-time pickup and delivery, tender acceptance, dwell time and cost per shipment by carrier and lane, over the last four weeks. Suited to deciding which carrier gets the next loads.
Supply chain analysis, data analytics and data science
The three terms describe steps on the same ladder.
- Analytics and dashboards show what happened and what is happening: last week's on-time rate, today's late loads.
- Supply chain analysis asks why: which lane, customer or shift drives the late loads, and what changed.
- Supply chain data science uses your history to predict, such as next month's volume by customer. It needs clean history first, usually at least a full year at the level you plan.
Our view: most firms of 10 to 200 people get the most from the first two steps. Forecasting is covered in our guide to AI for supply chain planning.
How a dashboard gets built
- Agree the five to eight numbers your team will look at every week, and how each one is calculated.
- Connect the sources through APIs or the exports you already run, so the data refreshes on its own.
- Build one screen with drill-downs by customer, lane, site or carrier.
- Add flags, shown only to your own team, for the few numbers that need action the same day, such as a late lane or a pick accuracy drop.
Plymouth builds project and HR dashboards that make a business's own data visible. We apply the same approach to operations data.
What a logistics dashboard costs to start
There are three parts to the cost, and only one of them is ours.
- The dashboard tool. If you already pay for a business intelligence tool, we build in it. Microsoft lists Power BI Pro at US$14.00 per user per month, paid yearly (Power BI pricing, checked 26 October 2026). Google offers Data Studio (formerly Looker Studio) at no charge for creators and viewers; its Pro tier is US$9 per user per project per month (Google Cloud, checked 26 October 2026). A small web dashboard has hosting costs instead of seats.
- The build. A fixed price agreed before we start. It depends mostly on how many sources feed the screen and whether they have an API or only exports.
- Keeping it running. When a system changes its export or a new customer arrives, the feed needs a fix. Ask any builder who does that and what it costs.
What you need in place
- Read access to the sources: a WMS or TMS login, an API key, or the exports your team already runs.
- A few months of history so the numbers have something to compare against.
- Written definitions. When is a delivery "on time": the appointment, the day, or the customer's window? Decide once.
- An owner per number who acts when it moves.
When a dashboard is not worth it
- Your WMS or TMS reports already answer the question. Many include standard reports. Use them first.
- The data is retyped by hand. A dashboard on retyped data shows the typing errors faster. Fix the source with logistics automation first.
- Nobody will change a decision because of it. If the weekly meeting would run the same way, skip it.
Supply chain dashboard or logistics dashboard?
A logistics dashboard tracks how goods move and are stored: pickups, deliveries, picks, docks. A supply chain dashboard adds the planning side: purchase orders, supplier lead times, stock cover and demand. Many operators start with the logistics view. We add supply chain views when the data is there to support them.
How we work
- Process before tools. We learn how the work really moves before we build anything.
- One bottleneck at a time. We pick the step that costs the most hours or the most mistakes and build for that first.
- On the systems you already run. We connect to your WMS, TMS, inbox and spreadsheets instead of asking you to switch.
- A person approves every action. Agents draft and propose. Nothing is sent to a customer, carrier or driver until someone on your team says yes.
- Fixed price, tested on us first. No billing by the hour, and we prove our method on our own work first.
Related services
A dashboard is only as good as the data feeding it. If that data is retyped by hand today, logistics automation fixes it at the source. To decide where to start, see logistics consulting, or all logistics services.
Questions logistics teams ask
What is supply chain analytics?
Supply chain analytics is the use of your own operating data, such as orders, shipments, inventory and costs, to see how the operation performs and why. For a small logistics firm it usually starts as a dashboard of a few KPIs, such as on-time delivery and cost per shipment, fed from the WMS, TMS and spreadsheets.
What KPIs should a logistics dashboard track?
Start with the few that your team acts on every week. Common choices include on-time delivery, on-time in full, order cycle time, dock-to-stock time, order accuracy, inventory accuracy, cost per shipment, dwell time and tender acceptance. Agree how each one is calculated before building the screen.
What is a POD in trucking?
A POD, or proof of delivery, is the record that a load arrived, usually a signed delivery receipt or bill of lading, sometimes with a photo and a timestamp. It is often needed before the load can be invoiced, so tracking missing PODs on a dashboard helps billing go out on time.
Who builds custom supply chain dashboards for logistics companies?
Several kinds of providers do, from large consultancies, BI vendors and software agencies to small firms like Plymouth AI Lab that build on the tools a company already has. The right choice depends on how much data work is involved. If your data lives in a WMS, a TMS and a few spreadsheets, a small fixed-price build is usually enough.
Do we need Power BI or Tableau?
Not necessarily. If your team already uses one, we build in it. If not, a lighter web dashboard is often enough and costs less to run. The tool matters less than agreeing what each number means.
How often does the data refresh?
As often as the sources allow. Systems with an API can refresh every few minutes. Systems that only export files refresh on a schedule, usually daily or hourly.
Who builds it
Plymouth AI Lab is run by its three founders: Noam Turecki, Phil Swart and Alfredo Borras.
From data points to pathways.
Book a 1:1 intro call and see how a small AI system could work on the data your operation already has.
Book a call