Problem
A food manufacturer struggled with delivery delays and high transportation costs. The lack of route optimization and real-time fleet data led to inefficiencies in planning and operations.
Goal
Shorten delivery times, identify optimal routes, and reduce fuel costs. The next step was to automate KPI reporting to improve fleet performance and overall logistics efficiency.
Story
The logistics division implemented a Big Data solution that combined data from GPS, ERP systems, and order history. Through data analysis, the system identified inefficiencies related to routes and rush hour timing – previously considered everyday driver challenges.
Based on these insights, the software created optimized delivery routes and schedules that took traffic patterns into account. In the next phase, the company implemented automated KPI reporting – real-time dashboards accelerated decision-making across the board.
Problems once seen as “just part of the job” were eliminated through smarter planning and predictive insights. Fuel costs dropped by 20%, and average delivery time was reduced by 10%. Automated reporting brought greater control and transparency to daily operations.
Results (KPI)
Thanks to the implementation, the company:
✅ Reduced fuel costs by 20%
✅ Shortened average delivery time by 10%
✅ Automated KPI reporting for faster decision-making
✅ Optimized delivery routes, reducing delays and improving fleet efficiency
Project summary
- Integration of GPS, ERP, and order history data
- Pattern analysis and design of optimized delivery routes
- Scheduling deliveries with traffic patterns in mind
- Automated KPI dashboards for real-time operational insights
- Improved fleet control and reduced operating costs
Scope of implementation
- Data collection: Integrated data from GPS, ERP, and historical orders
- Analytics and optimization: Big Data used to optimize delivery efficiency
- KPI automation: Real-time reporting and dashboard generation
Technology stack – core and supporting
⚙️ Big Data: Data analysis for process optimization
⚙️ Internet of Things (IoT): Real-time fleet tracking
⚙️ Predictive Analytics: Trend forecasting and anomaly detection
