When most of your bookings come from Booking.com, higher volume doesn’t only mean higher revenue.

More often, it also means more manual ops work, more changes to track, more chances to miss details, and more load on your dispatcher team.

That’s exactly the challenge one of our customers ran into.

The company gradually expanded its operational coverage to new regions.

On paper, that sounds like a great growth engine.
In practice, it creates very real operational pressure:

• New bookings keep coming
• Changes and cancellations must be reflected in the system fast
• Ride statuses must be fully controlled by dispatchers
• And every manual step increases the risk of mistakes

The same pain most transfer operators deal with

Before moving to iTransfers with the Booking.com integration enabled, Let’s Go was dealing with operational pains that are very familiar to most transfer companies:

• Bookings were coming from multiple channels and required manual processing
• Changes and cancellations required manual updates
• Constant double-checking to avoid mistakes in ride details
• Heavy dependency on specific employees who “knew the process by heart”
• Growing volume turned into a need for exponentially more control — and ultimately, chaos

As George from Let’s Go put it:

And that’s the point.

In transportation operations, the problem is often not one big error – it’s the daily accumulation of small manual tasks:

• Manually copying booking details
• Constantly checking what has changed
• Verifying that a Supplier received the update
• Passing along assigned driver and vehicle details
• Tracking changes that, if missed, turn into a customer issue

That work is expensive, even if it never shows up clearly in reports.

Georgiy shared that before moving to iTransfers, simply entering one new booking into their system took about 30–40 seconds. If a booking changed, got canceled, or required updates, the team had to process all of that manually as well.

So the goal wasn’t just “use another system.”
The goal was to use a system that would:

• Reduce manual actions
• Lower the impact of the human factor
• Make execution of a growing Booking.com order flow operationally manageable

What helped in practice

With iTransfers and the Booking.com integration, Let’s Go moved to a model where bookings enter one system alongside all other requests, and are processed through a standardized operational flow, with minimal manual work.

Which iTransfers tools helped in practice:

• The Booking.com integration reduced the need to manually transfer incoming ride requests
• One system gave the team a single workspace for handling all bookings, instead of constantly switching between channels and scattered updates
• Smart tools for assigning Drivers and Suppliers made dispatching more structured and controllable
• Ride statuses gave the team better visibility into execution, while the system’s internal logic reduced operational load
• A phased migration helped the company switch without operational disruption

Why the transition wasn’t painful

Migration is a key part of this story.

Many companies delay change because they assume switching systems will be painful, long, and risky. Let’s Go approached it more systematically.

They started by putting their most experienced staff in the new system first, while keeping part of the old process as a backup during the transition. After adapting their workflows to the capabilities of the new system, they gradually moved the rest of the team and drivers over. This made it possible to safely adapt processes while keeping day-to-day operations stable.

The result?

The entire team, including drivers and suppliers, moved to iTransfers.
As George described it:

And the key point is: one of the most common objections isn’t whether automation is useful – it’s whether a team can actually transition to a new system without breaking daily operations.

This case shows that with the right tool and a structured implementation approach – they can.

The numbers – and why this is “real world” impact

The business impact was even more important. According to Georgiy, after integration, booking intake and processing time decreased by at least 3×:

For a company running about 3,000 rides per month, that’s not just a small efficiency gain – it’s the ability to scale without a major increase in control overhead and operational load.

And it wasn’t only about speed. With system automation, checks, and prompts, the team reduced manual processing – and as a result, reduced operational costs tied to routine work.

George summarized it simply:

That’s the outcome transfer operators care about: not just working faster, but handling more volume without proportional growth in manual effort.

Another strong signal in this case is service quality.

Despite growing volume while keeping the ops team size stable, Let’s Go reports an incident rate of below 0.1% (an extremely low benchmark for the market).

That doesn’t happen by accident. It’s the result of an operating model built around control, discipline, and continuous improvement, aimed at removing weak points between booking intake and ride execution.

This case clearly highlights problems that are common across

the industry today:

• Manual booking processing
• No single source of truth
• Duplicate orders from OTAs
• SLA risks
• Dispatcher overload
• Hiring more people instead of improving the process

These are exactly the problems our customers face every day.

And importantly, Let’s Go is not a “perfect lab case.” It’s a company operating in real-world conditions:

• 4 countries
• 10 airports
• Multiple service types
• In-house drivers and a supplier network
• OTA-driven demand
• Constant operational variability

If your team still spends too much time manually transferring data, processing changes, and checking statuses – if your operations are held together by people rather than a system – this case will probably feel very familiar.