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Case Study: Cegid generates €15M in additional annual volume with DataRobot AI-driven decisions

Cegid Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Cegid
Industry
Software / Fintech
Challenge
Build more predictive models in less time with the same lean team.
Headline result
€15M additional annual volume from a single business line, 20% more deals pursued, and 50% faster model deployment

Key results

€15M
additional annual volume in funded invoices
single business line
20%
more deals pursued
in one year
50%
faster model deployment

The challenge

As Cegid, a French cloud software provider serving 350,000 businesses, applied AI to more business opportunities, its main constraint was creating more models in less time while minimizing the technical skills and resources required. The predictive analytics team faced ever-expanding demand fueled by frequent acquisitions.

The solution

Cegid used the DataRobot AI Platform to automate the full analytics lifecycle — model development, deployment, and ongoing management — through a user-friendly interface, including predicting the probability of invoice payment.

We use AI to predict the probability of invoice payment. Increasing the number of deals by 20% amounts to approximately €15 million in additional annual volume.

JH
Joao Henriques
Head of Credit Risk and Data, Cegid

The results, in context

By increasing the number of deals it pursues by 20% in one year, Cegid generated an additional €15 million in the volume of funded invoices from a single business line. The team also deploys models 50% faster.

Products used

DataRobot DataRobot AI PlatformDataRobot Predictive AI