What is Circular-Economy-Engineering?
Circular-Economy-Engineering is an economic system in which products and services are traded in closed "cycles". Circular-Economy-Engineering is also referred to as the renewable economy, which aims to maximize the value of products and materials. Our focus at Arvato is to create this system that is sustainable and highly efficient. We refurbish technical hardware and bring it back into circulation.
- Maximum product availability, reduced costs and capital commitment
- High satisfaction at your customers
- Arvato ReCommerce platform for an effective End-of-Life Process
- Transparency and reliable quality management
Circular-Economy-Engineering requires not only system thinking, but also optimized services
Our screening and testing solution is customized to handle warranty cases, customer claims and water damage claims. We automatically determine the warranty status with our manufacturer interface. Our efficient processes save you time and money.
You will not be able to differentiate our refurbished device from a new device. This quality standards ensures to bring a greater number of used products into circulation. On request, we also offer the flexible use of proprietary software.
The processing of material returns must correspond exactly to the specifications and criteria of the manufacturer. At the same time, the stock of returned spare parts, complaints and reports must always be consistent. Arvato offers optimized inventory levels, complete inventory transparency and a central partner interface tailored to your individual needs. You need even more functionality? Arvato offers a unified, global master data model and a central order scope for all our locations!
Economy-Engineering out of one hand
We solve the End-of-Life processes elegant and efficient
Positive effects of the End-of-Life process
Worldwide buyer network for second-hand goods and overstock
Effort and cost reduction
Optimized sales channels for risk minimization
- Modular structure of our recommerce-services
- Transition of the products
Automated hardware testing & service solutions
- RMA (return merchandise authorization) webportal offers order creation for B2B traders incl. status updates
- Four services are conceivable: Dead-On-Arrival (DOA) cases, warranty cases, paid orders, advanced replacements
- Goods receipt and screening incl. semi-automated testing for identification of NFF (No-Failure-Found) cases
- Organisation and management of a swap pool
- Fast shipping to the customer
- Cost estimate handling: Billing based on flat rates
Warranty cases go through the Arvato logistics locations every year
Arvato Supply Chain Solutions received the Preferred Quality Supplier Award from Intel
from all parts of the process can be recorded and analyzed
We are planning long term!
Transparent, automated sales for maximum revenue
Easy access to the entire buyer pool
Revenue maximization through specialized auction procedures
- Own partners/ bidders can be added to the auctions
Selection/ exclusion of individual bidders possible
Live monitoring of the auction
Time savings by minimizing the administrative effort
Optional: transport management including coordination with buyer, provision of goods by Arvato
The ability to combine logistical services with postponement, countrymizing or other value added servicesallows us to adapt our offerings to the demand in a flexible way.
In addition, we support you in your entire print management and procurement process, including your marketing logistics
Everything out of one hand to close cycles!
Arvato Supply Chain Solutions integrates advanced automation technologies into the logistics processes through the use of versatile interface-capable software. Such fully integrated solutions provide decision-makers with the information they need to more efficiently steer operations during daily business. Productivity increases because orders and routes are optimally coordinated and closely linked with associated processes. We rely on the automation of decisions for faster and smoother processes, and use machine learning technology for this purpose.