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FEBULA TECH
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Problem
Task
Solution
Reduce costs and improve the efficiency of fleet operations
Implement a Fleet Management System (FMS)
Client
Data Analysis from Vehicles: Track location, fuel levels, load, and battery charge
Fuel Monitoring: Fuel level history and integration with Yandex Fuel stations
Driver’s Personal Dashboard: Provides vehicle data and allows online service bookings
Real-Time Monitoring: View vehicle condition at any moment, track errors and events
Telemetry Integration: Connect any telemetry modules and vehicles of any brand
Frequent errors in manual logging of journals and trip sheets
02
Difficulty in monitoring the fleet's condition
01
Lack of analytics for vehicles, drivers, and the fleet as a whole
03
Route Planning: Create routes and define checkpoints
API Integration: Seamless integration with other services
High variable expenses
04
Fuel consumption, Truck downtime, Frequent repairs, Aggressive driving
Result
Over 100k
trucks were used for data collection
Machine Learning
was used to develop a driving assessment model
6 months
of development and solution implementation
15%
reduction in fuel expenses
Up to 10%
decrease in fleet downtime
STACK
BACKEND
INFRA
Frontend
DATA ENGINEERING
Python
FastAPI
Postgres
NATS
Sentry
Kubernetes
Prometheus
Grafana
Meteor
Svelte
Hadoop
Spark
Scala
HDFS
ELK
Terraform
Redis
Krakend
Ory Hydra
Airflow
ClickHouse