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INITv3.0
YOKR STUDIO
HBS France
B2B Sales2024

Predictive Sales System

End-to-end automation layer integrating CRM & AI lead scoring. Detects behavioral engagement windows to predict response.

Predictive AI
CRM Automation
Scroll
Op Time
-60%
Response Rate
+45%
Lead Score Accuracy
0
Revenue Impact
+€2.3M
03

The Challenge

HBS France's sales team was overwhelmed with leads but struggled to prioritize effectively. They were spending equal time on cold leads and hot prospects, resulting in missed opportunities and a 12% response rate that lagged industry benchmarks.

The Solution

We implemented an AI-powered lead scoring system that analyzes 47 behavioral signals to predict buyer intent. The system identifies optimal engagement windows — the precise moments when a prospect is most likely to respond. Automated sequences trigger personalized outreach at these predicted windows.

Key Results

Increased response rate from 12% to 45%

Reduced sales team operational time by 60%

Lead scoring accuracy reached 94%

Generated €2.3M additional revenue in first 6 months

Technologies Used

Tech Stack

Python
TensorFlow
Salesforce API
PostgreSQL
Apache Airflow
FastAPI
We now know exactly when to reach out. Our sales team feels like they have superpowers.
Jean-Pierre Dubois
Sales Director, HBS France

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