Instituting Gen-AI tools and a machine learning model to increase annual revenue by $18M for a facility services co.

Picture this...

You’re the largest privately held facility services provider in North America with 100K+ locations across verticals such as retail, manufacturing, and hospitality. But you’re facing a 10% customer churn rate, costing you tens of millions of dollars in revenue. Complicating the problem, you can’t identify which customers are safe and which you’re on the verge of losing.

You turn to Accordion.

We partner with your team to predict when customers are on the verge of churning so that you can act—before you lose them as a customer. We:

• Create a GenAI-based sentiment model to capture e-mail level and site level sentiments.
• Aggregate the sentiment model with other existing data points like relationship, performance, and pricing to develop a machine learning based site-level churn propensity model.

Your value is enhanced.

You now have a machine learning model that achieves 90% accuracy in predicting customers with high churn risk. You use that model to intervene to keep at-risk customers, driving an $18M increase in annual revenue and 25% reduction in site-level churn.

On top of that, by proactively addressing issues, you improve service quality by 5%.

From our client:

This is wonderful! We are going well beyond what I initially envisioned.