Can we really talk about AI in company car park management?

Artificial intelligence has become an integral part of everyday business life, to the extent that many software programmes now claim to offer AI-based features. The management of corporate car parks is no exception.

But behind this promise, what does artificial intelligence actually entail? Does software that automates the allocation of parking spaces necessarily use AI? Or is it simply automation?

In this article, we’ll take a look at the practical applications of AI in company car park management, its limitations, and the criteria that help distinguish genuine artificial intelligence from a mere marketing ploy.

Why is there so much talk of AI in company car park management tools?

In recent years, Artificial Intelligence (AI) has become a real driver of innovation in business software. Whether in human resources, customer relations or facilities management, many solutions incorporate features presented as intelligent. Corporate car park management tools are naturally following this trend.

This trend can also be explained by the new challenges facing businesses. With the rise of remote working, flexible office arrangements and more sustainable mobility policies, parking habits have become much less predictable. A space may remain empty on some days, whilst the car park is full the next. Managing these fluctuations manually quickly becomes time-consuming.

AI therefore emerges as a promising solution. By analysing occupancy data, bookings and staff habits, it can help to better anticipate needs, optimise the use of spaces and simplify decision-making.

However, it is important to qualify this observation. Not all solutions that claim to use artificial intelligence actually do so. In many cases, the features are simply based on predefined automation rules. This distinction is essential, as it helps us understand what we can genuinely expect from car park management software.

Company car park management: automation or Artificial Intelligence (AI)?

1. What simple automation is.

Automation involves carrying out actions according to predefined rules. The software does not make decisions on its own: it simply follows the instructions it has been given.

In the management of a company car park, this might, for example, involve:

- The automatic allocation of a space according to predefined criteria.
- Automatically releasing a space when a booking is cancelled.
- Applying priority rules for certain categories of users.
- Monitoring of parking space booking credits.
- Opening bookings at a specific time.
- Sending reminders and notifications to staff.
- Managing a waiting list when a car park is full.

These features save valuable time and reduce repetitive tasks. They are essential in many businesses, but they do not rely on artificial intelligence.

At Sharvy, this automation approach enables companies to simplify the day-to-day management of their car parks. Rather than manually processing each booking request, managers can set their own rules: who can book, according to which priorities, with what quotas, or even which spaces should be prioritised.

2. What actually falls under the umbrella of AI.

Artificial intelligence goes a step further. Instead of merely applying fixed rules, it analyses large amounts of data to identify trends, make predictions and formulate recommendations.

In practical terms, a car park management solution incorporating AI could, for example:

- Recommend opening spaces usually reserved for visitors.
- Predict the impact of an internal event on car park occupancy rates.
- Suggest a new allocation of spaces based on observed usage patterns.
- Simulate the impact of new booking rules before they are implemented.

In other words, automation carries out tasks, whilst AI analyses, learns and aids decision-making. Today, the majority of car park management software relies primarily on automation mechanisms. Artificial intelligence is used, but its applications remain focused on advanced analysis and optimisation features.

Practical use cases for AI in corporate car park management.

When used wisely, artificial intelligence does not replace the car park manager. It provides them with insights that would be difficult, if not impossible, to identify manually by analysing hundreds or even thousands of data points.

1. Anticipating peak occupancy.

AI can analyse staff attendance patterns and booking history – such as days with high footfall – to predict periods when the car park is likely to be full.

For example, if it detects that a Tuesday following the start of the new term will be particularly busy, it can recommend temporarily opening spaces usually reserved for visitors or adjusting certain booking rules. The aim is not to make the decision for the manager, but to enable them to take action before the car park is full.

2. Suggest a new allocation of spaces based on observed usage patterns.

Over the course of several weeks, parking needs change. Some visitor spaces sometimes remain unoccupied, whilst spaces equipped with charging points or reserved for car-sharing are consistently full.

By analysing these trends over several months, the AI can recommend a new allocation of spaces so that it better reflects actual usage. For example, it may suggest converting some of the under-used visitor spaces into spaces for staff, or creating more spaces dedicated to electric vehicles if their numbers are steadily increasing.

The AI does not directly alter the car park: it highlights opportunities for optimisation which the manager can then approve, taking their constraints into account.

3. Simulate the impact of new booking rules before they are implemented.

Changing booking rules is never a trivial matter. Giving higher priority to certain staff members or limiting the number of bookings per week can have consequences that are difficult to anticipate.

Through data analysis, AI can simulate different scenarios before they are rolled out. For example, it can estimate the impact of reducing booking quotas, opening bookings at a new time, or introducing priority for staff who carpool.

These simulations make it possible to assess the potential effects of each decision and choose the most suitable solution, without having to test several configurations directly in practice.

The current limitations of AI in corporate car park management.

1. AI depends, above all, on the quality of the data.

Artificial intelligence can only be effective if it is based on reliable data. In car park management, this means, in particular, having sufficiently accurate information on bookings, actual attendance, staff habits and changes in occupancy rates.

Incomplete or unrepresentative data can lead to erroneous analyses. Before seeking to integrate AI, the first step is therefore to ensure that data collection and analysis are properly structured.

2. Not all car parks necessarily need AI.

It is tempting to think that the ‘smarter’ a tool is, the more effective it is. However, the reality is more nuanced.

For a business with a few dozen spaces and stable occupancy, automated management using simple rules can largely meet its needs. Adding a layer of AI would not necessarily bring any tangible benefits.

Conversely, for businesses facing more complex challenges (multi-site car parks, a large number of staff, significant fluctuations in attendance or specific constraints), data analysis can become a real driver of optimisation.

The aim is therefore not to use AI at any cost, but to choose the tools best suited to the car park’s actual challenges.

3. People remain essential to the decision-making process.

Even with highly advanced analytics, a company car park remains a human issue rather than a purely technical one. Behind every allocated space, there are employees, habits, personal constraints and, at times, specific circumstances to take into account.

AI can identify that a space is under-utilised or that an allocation rule could be optimised. However, it does not always understand the context behind a situation: a temporary medical need, a specific work-related constraint or a recent organisational change.

The role of technology is therefore, first and foremost, to help managers make better decisions, not to replace their expertise.

4. AI must remain a means, not an end in itself.

Ultimately, the real question is not: “How can I integrate AI into my company car park?”, but rather: “What problem are we trying to solve?”.

Effective technology is that which meets a specific need: reducing unused spaces, simplifying booking for staff, improving fair access to the car park, or helping teams to manage their spaces more effectively.

Artificial intelligence can become a powerful optimisation tool, provided it remains focused on usability and the user experience.

What does the future hold for AI in company car park management?

Artificial intelligence is still in its infancy when it comes to corporate car park management. Today, its main benefit lies in data analysis and decision support. But in the future, it could enable us to go even further by making car parks more predictive, more flexible and better suited to new mobility trends.

One of the main areas of development will likely be the ability to anticipate needs even more accurately. Instead of simply noting that a car park is full, solutions will be able to predict periods of high demand several days in advance and suggest adjustments before a problem even arises.

However, the future of AI in corporate car parks will not be solely a matter of technology. Success will depend above all on companies’ ability to collect reliable data, define fair rules and maintain a people-centred approach.

Because, beyond the algorithms, a car park remains, first and foremost, a service for employees. The best technology will therefore be that which makes its use simpler, fairer and more efficient on a day-to-day basis.

In conclusion

So, can we really talk about artificial intelligence in the management of company car parks? The answer is yes (provided we fully understand what the term actually means).

Today, many solutions rely primarily on automation: they apply rules defined by the company to simplify bookings, manage priorities and streamline access to spaces. Artificial intelligence, on the other hand, is used for more advanced applications such as data analysis, trend detection and decision-making support.

The challenge for businesses is therefore not simply to integrate AI because it is at the forefront of technological trends. The real value lies in its ability to address practical challenges: better anticipating needs, minimising unused workspaces, improving fairness amongst staff and optimising existing spaces. This is the approach Sharvy takes.

Got a question? Check out the following FAQ!

Will artificial intelligence replace the car park manager?

No. The aim of artificial intelligence is not to replace human expertise, but to support it. Above all, it enables the rapid analysis of large amounts of data, the identification of trends and the provision of recommendations. The manager retains control over decision-making, particularly when it comes to taking human or organisational constraints into account.

Does a company need to have a large car park to benefit from smart solutions?

Not necessarily. Requirements vary depending on the size of the site, the number of staff involved and the complexity of the organisation. A company with just a few dozen spaces may be primarily looking for simplified management, whilst a large site may benefit more from advanced analytics to optimise its spaces.