Buy B-Ware - All information at a glance
Geben Sie die Probleme der Retouren und Überbestände an Elvinci ab, damit Sie nicht auf Ihren Kosten sitzen bleiben.
Goals of the returns management
- Preventive measures to avoid returns
- Increase customer satisfaction
- Offer online returns articles and pallets
- Efficient handling of returns and exchange processes
- Optimizing goods acceptance and processing through returns management
Step by step to goods classification
With the help of the specially developed classification app, the goods are classified step by step through easy operation. Through a question catalog, the relevant information is determined with decision questions and scales, because this enables effective and efficient goods classification.
When goods are classified by the returns management system, the items are given an identification number and they are scored into a point system. The point system works with a scale of 0-100, where 0 is the worst quality (C-goods for spare parts) and 100 is the best (A-goods in packaging).
Automated upload of product information
The collected product information is collected by the classification app in the buyer portal and uploaded automatically. Detailed product views with photos, point rating and description are created automatically by the returns management.
The selected return item and the associated product information always correspond 100 percent to the specified data, thus creating trust and long-term customer loyalty.
The buyer portal optimizes the sales process of returned goods through various implementations. These include the expected goods sales ratings for fast and slow movers.
In addition, customer analysis is performed, a recommendation system is used, a palletizing app is used, and price optimization is performed to improve returns management. These measures help to make sales more efficient and targeted.
Adjust prices and stock to demand
With the help of the collected sales data, it is determined which goods, items, packages and pallets are selling faster and slower. Based on this analysis, prices and offers can be adjusted to match prices and inventory to demand.
In doing so, a continuous supply chain is maintained.
The determined factor determines where the goods are stored. For example, slow-moving items are stored on the shelf based on the determined value because it contributes to efficient use of warehouse space.
Automated customer-specific quotation generation
In the buyer portal, the buying habits of the customers are analyzed in order to offer them the appropriate goods and to carry out an automated customer-specific offer generation. The analysis is based on buying habits such as quantity, quality, type of goods, but also on country-specific preferred returned goods.
Automated customer-specific quotations are created. The result is an automated offer that is based on the customer’s needs because a package is put together that is optimally matched to the desired size of the truck.
Transport optimization and cost reduction
With the help of the palletizing app, our specially developed transport optimization and cost reduction in returns management are implemented by carrying out several steps in parallel by scanning the unique identification number.
First, the pallet size and position is defined for the goods and then the pallet is loaded accordingly in order to optimally fill the truck in the further process. The goal of transport optimization in returns management is to transport as many goods as possible on pallets.
In order to use an ideal combination of pallets, a selection of different pallet sizes is used, which ultimately optimizes the transport costs for the customer.
Point system for more precise price determination
In most cases, the returns industry works with categories A, B & C, which is also the basis for the price. These categories are quite rough, which sometimes overestimates or underestimates the value of the goods. For this reason, we have created a point system for our returns management to determine prices more precisely.
The point system goes up to 100, which allows a more accurate assessment of the condition and a more precise price determination. The data for price optimization is drawn from the classification app, which allows us to offer our customers more precise price for the returned goods.
