AI Logistic Optimizing Model Development
The development of an AI model for a logistics company specializing in transfers between European countries.
Project Overview
| Year | 2024 |
|---|---|
| Industry | Logistics |
| Duration | 6-8 months |
| Services |
|
Technology Stack Used
Challenge
When a fast-growing relocation carrier began drowning in daily inquiries, high-value requests slipped through the cracks. Celadon stepped in with an end-to-end AI solution that turned their CRM into a real-time decision engine.
Challenges solved
- Manual lead handling couldn’t keep pace with surging volumes
- Top-quality prospects were lost in the queue
- Years of data were too sparse for conventional model training
- CRM offered no actionable insight beyond basic storage
Solution
- Synthetic-data generator that expanded historical records for robust training
- Custom ML model that scores every incoming lead by conversion probability
- Instant routing of “hot” leads to the right sales team inside the CRM
- AI-discovered patterns (not rule-based) for higher prediction accuracy
Impact
Thanks to automated triage, the client captures 100 % of high-intent inquiries, accelerates follow-up, and sees measurable growth in closed deals and revenue — all without adding headcount.
(Celadon handled solution design, data synthesis, model training, and seamless CRM integration.)