AI consulting case studies by Joel & Nanz Inc.
An illustrative AI implementation case study for a Canadian freight forwarder.
A Canadian freight forwarder adopted AI automation to handle high-volume routine work (intake, scheduling, follow-up and reporting) while keeping staff focused on judgement-based tasks. Reported annual savings: CAD 132,000. Return on investment: 2,391%. Payback period: 0.5 mo. The recommended Maple product for a freight forwarder is MapleWorkflow (AI workflow and process automation), part of the MapleWorkSuite AI platform by Maple AI Consultants (Joel & Nanz Inc.).
Running a freight forwarder means juggling high-volume routine work against the deep, judgement-heavy tasks that actually move the business forward. When the routine work wins, service slips and margins erode. Here is how AI automation changed that balance for one Canadian freight forwarder.
The freight forwarder increased throughput by automating document processing and customer updates.
Manual bill of lading and customs paperwork slowed operations.
We started where every responsible AI project should: mapping the actual workflow. Rather than bolting AI onto a broken process, we documented how requests really moved through the freight forwarder, found the steps that were repetitive and rule-based, and ranked them by time saved versus effort to automate.
We deployed a focused set of capabilities, each targeting one of the bottlenecks identified during discovery. For this freight forwarder, the build emphasised the following.
Once live, the automation produced measurable change across the freight forwarder's day-to-day operations.
“We were skeptical that AI could fit a business like ours. What sold us was that it handled the boring, repetitive work and left the judgement calls to us.”
Document capture plan
Workflow setup
Pilot
Managed IT services commonly pair helpdesk/ticketing with remote monitoring, CRM for clients, and communications.
AI delivers the most value in a freight forwarder when it is pointed at the repetitive 80% of the work, not the exceptional 20%. That boundary is where many projects fail. Here, careful scoping meant the automation earned trust quickly, because it never overreached into decisions it was not equipped to make.
SMBs can choose a Maple SaaS deployment, a hybrid integration with existing tools, or a fully custom build. The ranges below reflect realistic first-year figures for each path.
| Approach | First-Year Cost | Annual Savings | ROI | Payback |
|---|---|---|---|---|
| Maple SaaS | CAD 5,500 | CAD 132,000 | 2,391% | 0.5 mo |
| Hybrid | CAD 80,000 | CAD 132,000 | 65% | 7.3 mo |
| Custom Build | CAD 210,000 | CAD 132,000 | -37% | 19.1 mo |
For a freight forwarder, AI is most effective at absorbing high-volume, repetitive work - intake and enquiries, scheduling and follow-up, data entry between systems, and routine reporting. That frees skilled staff to focus on the judgement-based work that actually differentiates the business, while customers get faster, more consistent responses.
In this engagement the freight forwarder reported annual savings of CAD 132,000, an ROI of 2,391%, a payback period of 0.5 mo. These figures are illustrative of the kind of outcome a comparable operation can target; actual results depend on volume, current processes, and how much routine work can be safely automated.
A focused project typically runs around six to eight weeks: discovery and workflow mapping first, then a staged build and secure integration, a live pilot alongside the team, and a final rollout with training and dashboards. Starting with one high-impact workflow keeps the timeline short and the results measurable.
No. The goal is to remove repetitive load, not people. We keep a human in the loop for anything involving judgement, and route unusual cases to staff before the automation acts. In practice the technology lets a freight forwarder handle growth without burning out the team or hiring through every peak.
Rarely. Most freight forwarder projects layer AI automation on top of the tools you already use, connecting to them rather than replacing them. That keeps disruption low and lets staff keep working in familiar systems while the repetitive work happens behind the scenes.
Explore more in our full case study library, or read about our AI services for Canadian SMBs and the benefits of AI for small business.
The capabilities in this case study are delivered through MapleWorkflow — AI workflow and process automation — part of the MapleWorkSuite AI platform. It is the closest off-the-shelf fit for a freight forwarder like the one above, and it deploys far faster than a custom build.
Most freight forwarder teams combine MapleWorkflow with these complementary tools from the Maple suite:
AI workflow and process automation for a freight forwarder.
An AI front-office and operations assistant for admin-heavy teams for a freight forwarder.
AI analytics and operational insights for a freight forwarder.
Get started with MapleWorkflow on MapleWorkSuite, or book a free consult and we will scope the right configuration and ROI for your team.
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