Optimize your retail inventory management across sales channels
Avoid sales losses and discounts with intelligent stock transfers
To avoid alienating customers and to actually seize sales opportunities, the transfer of slow sellers from store to store can pay off. The calculation and analysis of possible transfers between stores is highly complex, and the complexity increases with an increasing number of stores, channels and articles. A manual calculation of all possible transfer combinations is no longer feasible and meaningful results are no longer available.
Become and adaptive retailer and thrive again with demand planning.
How we enable you to make efficient Stock-Reballancing
Influencing factors such as ageing, transfer and transport costs are included in the calculation, as are the distance and size of the stores, guaranteeing a high degree of forecasting accuracy in dynamic situations. The system identifies potential source and target stores for each individual article based on sales and inventory development and compares the expected benefit using what-if scenarios.
The smart consolidation of transfers at the article or store level also provides striking savings potential in logistics costs. The close integration with the replenishment and allocation modules enables the gathering of insights into inventory developments and merchandise distribution.
Benefit from stock transfers and assortment balancing
To avoid surpluses and shortages during the season, merchandise is redistributed according to current customer demand and under consideration of cost-benefit aspects. This maximizes your sales revenue, minimizes your transportation costs, and provides an optimal customer experience. It also eliminates your manual processes.
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Outlet/ Off Price
When calculating possible transfer options, the sales potential of an article in the outlet is also considered. After comparing possible costs and potential benefits, a proposal is provided to the user. Determining each outlet’s individual demand per article cluster takes into account not only costs and benefits, but also the available sales area per article cluster. This means that sales potential can also be increased beyond the product lifecycle after markdowns, e.g. in the outlet.
In order to break down potential silos, the analysis and management of the transfers takes place in constant interaction with the modules for markdown optimization and allocation. This gives you a transparent overview of the chances of success of your measures and enables you to make better decisions.
In order to analyze and compare different stock transfer options and their effects, we simulate scenarios that can be evaluated using what-if analyses. For the user, this increases the transparency of the interdependencies and creates trust in the tool. The respective effects on the defined target KPIs are predicted and evaluated, whereby these scenarios offer ideal decision support for the user. The final decision is ultimately made by a person who enhances the prognosis through knowledge and experience.