Within weeks, our customers move from software purchase to confident daily use.
Here’s how we make that happen.
Phase 1: Foundation & System Setup
Outcome: Everything ready before training begins
After contract signing, we prepare everything needed for a strong start. Our team:
- Provisions the software environment
- Adds all required users
- Provides detailed user guides
- Shares structured templates for master data collection
- Sets up a dedicated support channel for the customer
This ensures that from day one, customers have clear documentation, the right tools, and direct access to support.
Phase 2: Data Setup, Baseline & Scenario Modelling
Outcome: A system built on accurate master data, with a clear operational baseline and measurable improvement opportunities.
This phase focuses on two critical foundations: configuring accurate master data and analysing historical operational performance.
First, we work closely with the customer to configure and validate master data including key operational parameters that define how the business runs. Accurate master data is essential as it ensures the system reflects the realities of the operation.
In parallel, customers provide historical operational data from a defined time period (for example, a two-day operating window). This data shows what actually happened in real world conditions, i.e. routes driven, pick-up sequencing, delivery timings and operational constraints.
We then:
- Establish a measurable baseline of operational performance
- Generate an optimised plan for the same time period using our system
- Compare actual performance versus the system generated optimised scenario
This side by side comparison gives customers clear operational insight, showing not only how the business performs today but what could be achieved through improved planning. It often highlights practical improvement opportunities such as reduced mileage, better vehicle utilisation and improved load fill rates.
It also ensures that before we move into live usage and training, the system has been tested and aligned with real operational data.
Phase 3: Training, Practice & Refinement
Outcome: Users progress from learning to confident independence
With data in place, we move into hands-on training. Sessions can be delivered virtually or in person and are based on the customer’s own operational data.
After initial training, the real learning begins:
- Users work in the system during daily operations
- They gather real questions from practical use
- We meet again to review, refine, and go deeper
This cycle is typically repeated 3–4 times, allowing users to build genuine confidence through practice. Throughout the process, their dedicated support channel remains available for day-to-day questions.
Phase 4: Continuous Improvement & Long-Term Partnership
Outcome: Software that continues to support and improve your operation
Once users are self-sufficient, we finalise advanced system parameters to fully align the software with operational needs. We then transition into our ongoing support model. Customers typically meet with us weekly for the first month, then bi-weekly or monthly as needed to discuss:
- Operational challenges
- Process improvements
- Best practices
- Ways to maximize value from the system
Unlike many software providers who step back after going live, we remain involved. Our goal is not just implementation, it’s making sure the system continues to deliver value over time.
Why This Approach Works
Onboarding isn’t just about getting the software live. It’s about building confidence, validating data and creating measurable improvements from the outset. By combining structured setup, real historical data, practical training and ongoing support, customers don’t just learn the system, they see how it supports and improves their day to day operations
What One Customer Said
“At the beginning, we were concerned about the amount of data involved and how quickly our transportation team would adapt to a new system. The onboarding process made it far more manageable than we expected. The data templates, guided uploads, and multiple training sessions meant we always had support. Using our own operational data during training really helped the team build confidence. Even now, the regular check-ins help us work through challenges and keep improving how we use the system”.
Jack Zakaria, Transportation Manager, Dairy Farmers of Ontario
