Brightline Logistics customer case study

Customer case study template with a before and after table

Brightline Logistics runs 62 trucks out of Adelaide and used to dispatch them with paper run sheets. This case study tells the switch to digital dispatch in figures: 94 per cent fewer missed pickups, 11 admin hours saved a week, $184,000 saved a year and a 4.6 month payback. The rest of the four pages exists to make those four numbers believable.

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Customer case study: Brightline Logistics · August 2026Page 1 of 4
Customer case study: Brightline Logistics · August 2026Page 2 of 4
Customer case study: Brightline Logistics · August 2026Page 3 of 4
Customer case study: Brightline Logistics · August 2026Page 4 of 4
Brightline Logistics: 94% fewer missed pickups, $184,000 saved a year
94%
Fewer missed pickups
11 hours
Admin time saved per week
$184,000
Annual savings
4.6 months
Payback period
The situation

Based in Adelaide, Brightline Logistics operates a fleet of 62 vehicles providing freight services across South Australia. Before 2026, their entire dispatch process was manual. Drivers received paper run sheets at the start of each shift, and all proof-of-delivery documentation was paper-based. Between 16 and 20 pickups a week were missed, and invoices took seven days to go out.

The costs of the paper-based system were substantial. Misplaced paperwork led to missed pickups and delayed deliveries, impacting customer satisfaction. The operations team spent hours each day manually entering data from run sheets into their accounting system for invoicing. Chasing up missing proof-of-delivery dockets was a constant drain on resources, and the lack of real-time visibility into fleet operations made it impossible to respond dynamically to new jobs or on-road delays.

What changed
Digital Dispatch
Jobs are now sent directly to drivers' in-cab tablets, eliminating paper run sheets entirely.
Real-Time Job Tracking
Operations staff have a live map view of all vehicles and job statuses, allowing for smarter allocation.
Electronic Proof of Delivery
Drivers capture signatures and photos on their tablets, with proof of delivery instantly available to customers and admin staff.
Automated Invoicing
Completed job data flows directly into the accounting system, generating invoices automatically.
Performance Analytics
The system provides detailed reporting on key metrics like on-time performance, vehicle utilisation, and job profitability.
Digital Dispatch
Jobs are now sent directly to drivers' in-cab tablets, eliminating paper run sheets entirely.
Real-Time Job Tracking
Operations staff have a live map view of all vehicles and job statuses, allowing for smarter allocation.
Electronic Proof of Delivery
Drivers capture signatures and photos on their tablets, with proof of delivery instantly available to customers and admin staff.
Automated Invoicing
Completed job data flows directly into the accounting system, generating invoices automatically.
Performance Analytics
The system provides detailed reporting on key metrics like on-time performance, vehicle utilisation, and job profitability.
Digital Dispatch
Jobs are now sent directly to drivers' in-cab tablets, eliminating paper run sheets entirely.
Real-Time Job Tracking
Operations staff have a live map view of all vehicles and job statuses, allowing for smarter allocation.
Electronic Proof of Delivery
Drivers capture signatures and photos on their tablets, with proof of delivery instantly available to customers and admin staff.
Automated Invoicing
Completed job data flows directly into the accounting system, generating invoices automatically.
Performance Analytics
The system provides detailed reporting on key metrics like on-time performance, vehicle utilisation, and job profitability.
Before and after
Operational measure
Before (Paper)
After (Digital)
On-time delivery rate
86%
98.5%
Weekly missed pickups
16-20
1-2
Admin hours per week (data entry)
14 hours
3 hours
Average invoice cycle time
7 days
< 24 hours
Driver queries per day
30+
< 5
Real-time fleet visibility
None
100%
We went from flying blind to having complete control. The savings are fantastic, but the biggest win is the reduction in stress for our drivers and our operations team. We're not chasing paper anymore; we're focused on serving our customers.
David Chen, Operations Manager, Brightline Logistics
On-time delivery performance
On-time delivery rate by month, 2026
JanFebMarAprMayJun0255075100On-time rate (%)
Rollout timeline
January 2026
Phase 1: Discovery & Planning
February 2026
Phase 2: System Configuration & Integration
March 2026
Phase 3: Pilot Program (5 vehicles)
April - May 2026
Phase 4: Staged Fleet Rollout & Training
June 2026
Phase 5: Full Operation & Review
How they did it
1.
Brightline established a clear project plan with defined goals, focusing on the highest-impact problems first: missed pickups and slow invoicing.
2.
They engaged drivers early in the process, running a successful pilot program to get feedback and build buy-in before the full rollout.
3.
Training was delivered in small groups as the system was rolled out to teams, ensuring every driver was confident with the new technology before going live.
The outcome

Six months after starting the project, Brightline Logistics runs every job without paper. The company has achieved a 94% reduction in missed pickups and is saving over $184,000 annually in operational costs. With the administrative burden of paper removed, the operations team is now using the system's data to further optimise routes and improve vehicle utilisation. Their next step is to integrate the platform's customer portal, giving clients the ability to book jobs and track their freight directly.

Section by section

What each section is for, so you can keep the ones you need and drop the rest.

Results strip
Four headline figures with a label each, placed before any narrative.
The situation
The fleet, the paper process and the costs it caused: lost dockets, manual data entry and no live view of the trucks.
What changed
Five titled changes, from in cab tablets and live tracking to electronic proof of delivery and automatic invoicing.
Before and after
Six operational measures in one table, paper on the left and digital on the right.
Customer quote
One quote from the operations manager who lived the change, attributed by name and role.
On time delivery chart
The key measure plotted by month across the 2026 rollout.
Rollout timeline
Five phases from discovery in January to full operation in June, including a five vehicle pilot.
How they did it and the outcome
Three things the company did right, then the results six months on and the next step.

Clauses in this document

Who this is for

A B2B company whose sale involves someone asking "has this worked for anyone like us". One good case study per customer type beats a dozen general ones, because the reader is looking for their own situation on the page, not for evidence that you are competent in general.

How to adapt this document

For a one page version, keep the results strip and the before and after table, cut the background to two sentences and drop the implementation detail. That is the version that goes in a deck. For a video or a conference talk, use the same four beats in the same order: the situation, what changed, what the numbers did, and what the customer would tell someone else considering it. The order is doing the work, not the format.

What makes this document work

The results come first

Four figures sit above the story: missed pickups, admin hours, annual savings and payback. A reader who stops there still knows whether the change was worth making.

Before and after is a table

Six measures side by side, from an on time rate rising from 86 to 98.5 per cent to invoice cycle time falling from seven days to under 24 hours. Nobody has to trust an adjective.

The chart proves the trend

On time delivery is plotted by month from January to June, so the reader sees the pilot in March and the staged rollout in April and May, not just two endpoints.

Questions people ask

What makes a good case study?

Real numbers, one specific situation, and a comparison the reader can check. Sixty two trucks, paper run sheets, and what happened after the switch. Vague claims about efficiency persuade nobody, because every competitor makes the same one. If you cannot get permission to print a number, print the ratio or the direction and say what you cannot say.

How long should a case study be?

Three or four pages, which is what this example runs: the situation, the change, the evidence and the outcome. Longer than that and it becomes a report nobody in a buying decision has time for. If you have more material, cut it into a one page version for the sales conversation and keep the full one for the website.

Do I need the customer’s permission?

Yes, for their name, their figures and any quote, and get it in writing before you publish rather than after. Agree the exact wording, because the number you find most persuasive is often the one their finance team will not let out. Many customers will approve a case study that names them but rounds the figures.

Should it include a quote?

One good quote from the person who lived the change is worth more than three from executives.

Metrics or story first?

Metrics, in a strip across the top, then the story underneath. A reader scanning three case studies decides which one to read on the numbers, and only then wants to know how. This example puts the results strip above the fold for exactly that reason, and repeats the same figures in the before and after table further down.

Where does a case study actually get used?

In three places: a link sent during a sales conversation, a page on the site that ranks for the problem rather than your product, and a slide in a pitch deck. Write it so the first two paragraphs stand alone, because that is all most readers will take, and the middle section survives being pasted into a deck.

Can I write one without a named customer?

Yes, but say so plainly: "a logistics operator running 62 trucks in South Australia" is honest and still specific. What does not work is an anonymous case study written as though it were named, with a fake quote attributed to a role. Readers assume the worst about unnamed studies, so the numbers have to work harder.

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