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DataRobot > Case Studies > French Tech Leader Cegid Generates €15M Additional Volume Annually with AI-Driven Decisions
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French Tech Leader Cegid Generates €15M Additional Volume Annually with AI-Driven Decisions

Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Analytics & Modeling - Machine Learning
Applicable Functions
  • Business Operation
Use Cases
  • Predictive Quality Analytics
  • Predictive Replenishment
Services
  • Data Science Services
The Challenge
Cegid, a French tech company offering cloud services and management software solutions, is facing the challenge of creating more models in less time while minimizing the technical skills and resources required. The company serves 350,000 customers across 150 countries and generates €632 in revenue. The predictive analytics team at Cegid is under pressure to meet the ever-expanding demand fueled by frequent acquisitions. The team is tasked with tackling a growing list of business challenges, including predicting the likelihood of getting paid on invoices and the propensity of customers to add services.
About The Customer
Cegid is a major player in modern digital transformation, offering companies cloud services and management software solutions. The company creates innovative, purposeful business management solutions, designed to help professionals in retail and HR (pay and talent management), payroll, tax and CPAs, achieve their goals and make more possible. Cegid serves 350,000 customers across 150 countries, generating €632 in revenue. The company is known for its fast growth and frequent acquisitions.
The Solution
Cegid adopted the DataRobot AI platform to automate the analytics lifecycle end to end. The platform was deployed with the help of Portugal-based Passio Consulting. The solution integrates with Amazon Web Services and the company’s data lake using application programming interfaces (APIs). Insights are then analyzed in Microsoft PowerBI and Excel. The platform is primarily applied in Cegid's invoice factoring business. Using the AI platform, Cegid gains the necessary end-customer details to decide whether to pay or deny the selected invoices. With a Payment Prediction Model (PPM), they evaluate the probability of payment for each invoice. Analytics also help them set optimal interest rates.
Operational Impact
  • Cegid increased the approval rate on factoring deals by 20% without increasing risk.
  • The company was able to drive significantly more volume in funded invoices last year.
  • Using DataRobot automated machine learning capabilities, Cegid expedited model experimentation and development, allowing them to test scenarios quickly.
Quantitative Benefit
  • Cegid generated an additional €15M in the volume of funded invoices by increasing the number of deals it pursues by 20% in one year.
  • The team was able to deploy models 50% faster.

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