Cleaning Management Solutions

A tailor-made solution for your city's cleanliness.

Our solution helps you manage cleanliness on a daily basis to achieve your goals in terms of quality of service, efficient use of resources and sustainability.

This solution is provided as a service — you do not need to acquire equipment or provide your own IT infrastructure. We ensure the systems run correctly and make the data available to you via a web interface.

Our coaches can support you in achieving measurable results according to your objectives.

A fully integrated solution for your Smart City

measure. manage. optimise.

Cortexia solution diagram — measure, manage, optimise cycle

Quality of service

Objective and precise mapping (monitoring) of the cleanliness level (Clean City Index). Measurement of types and quantities of urban waste in real time — the smallest waste detected is a cigarette butt.

Resource optimisation

Methodology to identify and implement levers for action from the cleanliness diagnostic, in order to achieve significant and measurable results.

Interconnectivity

Data management for integration into Smart City approaches.

At your side for measurable results

Support for your Cleaning Management Solutions project

Our method enables measurable and sustainable progress in managing the cleanliness of the city. Based on objectives (KPIs), a diagnostic is established to prioritise the levers for action to engage.

Our coaches support your teams in implementing this method and achieving the results.

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Levers for action for your teams

In our Clean City Labs, we experiment with improvement approaches with teams in the field. This collaboration with our partners and clients provides tools for optimising cleaning services based on objective data.

Discover our Clean City Labs →

Efficient resource allocation

The city defines a target cleanliness level it wants to guarantee — for example, a Clean City Index between 3.0 and 3.5. The cleanliness index is shown on the map using a colour system that enables resources to be deployed where they are needed:

  • Green — streets and squares meet the target cleanliness level
  • Blue — these locations are above the target and do not need cleaning
  • Red — these are the locations that must be cleaned as a priority

A predominantly green map means quality of service is under control and machines and staff are being used efficiently.

Case studies

Concrete examples of optimisation with our clients

Optimisation of cleaning according to the period and type of waste

Analysis of the types of waste that harm the cleanliness index enables targeted measures to be put in place. After measuring that the cleanliness level is impacted at weekends by bottles and cans, this small tourist town introduced targeted manual collection of this waste at critical locations.

Little Rogue campaign — Geneva

Anti-cigarette butt campaign "Little Rogue" — Geneva

With its "Little Rogue" campaign, the city of Geneva broke new ground to tackle cigarette butt littering. Using monitoring, it identified the most affected locations, pinpointed the root causes (insufficient ashtrays, inappropriate behaviour), then acted precisely on each source. This pioneering approach earned it the AVPU Grand Prix d'honneur.

Redeployment of street sweepers — Geneva

Redeployment of street sweepers — Geneva

In one of Geneva's road districts, the frequency of street sweeper passes was reduced in a "blue" neighbourhood (cleanliness measured above the target level) in order to increase it in a "red" neighbourhood. The result met expectations: the district's cleanliness level improved without increasing resources.

Find out how Cortexia can transform cleanliness management in your city.

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