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ALBA Group's Digital Transformation with AMCS Route Planning
Technology Category
- Functional Applications - Fleet Management Systems (FMS)
- Analytics & Modeling - Predictive Analytics
- Networks & Connectivity - Cellular
Applicable Industries
- Recycling & Waste Management
- Utilities
Applicable Functions
- Logistics & Transportation
- Business Operation
Use Cases
- Fleet Management
- Predictive Maintenance
- Smart City Operations
Services
- System Integration
- Software Design & Engineering Services
The Challenge
Route planning is extremely important for ALBA Group to streamline logistics processes, making them simpler, more transparent, and flexible. The company needed a solution to handle the increasingly complex demands of scheduling and to support dispatchers without replacing them.
About The Customer
ALBA Group, with its brands ALBA and Interseroh, is a leading recycling and environmental services company operating in Germany, Europe, and Asia. With around 7,500 employees and an annual turnover of approximately 1.8 billion euros, the company manages complex logistics involving over 2,000 vehicles and 200,000 customer collection points. A significant portion of its workforce, about 2,500 employees, is dedicated to logistics, ensuring the safe and clean transport of waste and substances to recycling and reprocessing plants.
The Solution
The ALBA Group implemented the AMCS Vehicle Route Planning system to streamline logistics processes. The system uses an advanced algorithm to handle complex tasks and circumstances in the planning process. The introduction of this tool led to the creation of an InnovationLab within the company, aimed at supporting digital options for route planning and collaborating with startups to develop new services and business models. The AMCS platform integrates the company's resources and customer orders, providing high planning accuracy and reducing the time dispatchers spend on planning. Drivers receive their routes and important information via handheld devices, improving communication and efficiency.
Operational Impact
Quantitative Benefit
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