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Project completed
Solar Livre & Elesol
Automated solar energy lead qualification with an AI agent and predictive scoring.
Solar Energy/AI-Powered Automation System
ScopeAI-Powered Automation System
PeriodTo be confirmed
TeamBytnex team
Tech stack4 technologies
Results
+150%qualified leads
-35%cost per acquisition
+80%conversion rate
Measured against the baseline of the process before the project.
Starting point
- 60% of contacts discarded after the first call
- 15 hours a week of manual triage by the sales team
Project summary
Solar Livre struggled to qualify solar energy leads: 60% of contacts were discarded after the first call. The manual process consumed 15 hours a week from the sales team. We implemented an AI system that automatically analyses each energy consumption profile through an AI agent, qualifies leads by predictive score and personalises commercial proposals in real time.
Engineering notes
Leads arrived with no qualification at all, and the sales team spent the day screening contacts that would never close.
SolutionAn AI agent reads the energy consumption profile and assigns a predictive score before any human contact.
Commercial proposals were assembled by hand, one at a time.
SolutionPersonalised proposals generated in real time from the already qualified profile.
Visual gallery
IMG_01
Technologies
Contents
- • Starting point
- • Project summary
- • Engineering notes
- • Visual gallery
