Today, fraud represents a real shortfall which wan be huge for operators, up to 40% of their turnover for some operator in Ile de France.
Fraud represents a shortfall of 500M€ by year in Ile de France, the buying price of 1000 buses by year, 10% of the current fleet.
For operators, fraud represents an information deficit on the real flow of peoples, preventing a match between deployement and real needs.
Seeing that the existings tools are ineffective, Datategy has created an innovative solution, based on an predictive algorithm, Artificial intelligence, 100% Cloud allowing to generate optimun itinerary for field agents.
By creating the OctoCity solution, Datategy offers steering for the control of tickets allowing to significantly decrease fraud.
For a transport operator, fraud represents a direct shortfall. For example, fraud represents more than one million euros per day in “Ile de France”, or 1000 buses per year.
For the regulator (the city, the client), fraud represents a lack of information on the actual circulation of users, preventing a match between the deployment of the network and the real needs.
The goal of the DATATEGY solution’s goal is to reduce fraud and its effects. Improving the revenues of the operator and the quality of the service.
Validation data can be in real time or through a periodic extract.
The solution guides the enforcers to the right stops at the right schedules.
A mobile application
The mobile application for agents in the ground, allows to enter a verbalization, visualize the history of verbalization and to have at real time, the list of stations to visit and to guide agents to places where fraud is the highest at the moment T.
A application cloud
The application cloud for managers, allows a global monitoring of the situation on the ground on the one hand, but also a statistical vision of the effectiveness of control and mediation units.
And this, according to several axes: by bus line, by station, by commune, by day of the week, by time of day … The mobile application will be compatible Android and the Back Office will be a web application accessible on all popular browsers (Chrome, Firefox, Safari, IE, Vivaldi …).The technical stack is the JS stack, namely Node.JS for the Back and Angluar for the front office. The data will be on Cassandra in part and on Postgres for transaction data.
A pedestal technological base, allowing data scalability and record execution time. The use of open source allows the removal of hidden costs.
The cloud and mobile solution allows a complete externalization of technical aspects and removes hidden costs (storage, servers, maintenance …)
– Correlation with other transport methods
– Frequency according to the hours and days of the week …
Our AI algorithms learn to model the dynamics of each city.
Déploiement de notre solution sur la ville de Lyon : classification de chaque segment de rue en une catégorie.
Our AI algorithms learn to detect how each parameter impacts the transport operator’s network.
Déploiement de notre solution sur le réseau du TICE (Essonne, France) : le diamètre du cercle représente l’ampleur de la fraude estimée.
Impact on the fraude
Depending on the complexity of the network and the degree of effectiveness of the system already in place, the impact of the solution will vary.
On average, the impact on our anti-fraud solutions (all operators combined: transport and parking) oscillates between an increase in verbalizations of 3 to 8% the first month up to an increase between 12 and 22% of the volume of verbalization on average after 6 months of deployment.
In parallel to this increase in verbalization, we see a stagnation, or even a decrease in the number of long-term verbalizations, linked to an increase in the number of tickets sold (transformation of repeat offenders into customers).