Solvoyo’s proactive, automated initial allocation solution powered by machine learning will help you adjust your allocation strategy based on recent sales trends
Initial allocation is the process of determining how much inventory to place in each sales channel/location for new products. This is a crucial step in the management of fashion and short lifecycle products. Misplaced stocks can lead to excessive markdowns, operational burdens to transfer, and lost sales. The main challenge is determining the right amount of product for each sales channel and location based on the expected sales.
An AI/ML-Driven Cognitive Technology
Solvoyo ML/AI-driven cognitive technology continuously monitors similar products’ in-season performance and recommends the best allocation strategy based on recent sales trends. Integrated with the Initial Allocation solution Shipment Strategy module allows retailers to manage initial allocation parameters, such as store clusters, shelf date, and product life.
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Solvoyo recommendations consider localized assortment plans approved by merchandisers, minimum presentation quantities, and pre-pack configurations. The solution can be integrated with the ERP/WMS for automated work-order creation so that allocation plans can be executed without manual intervention. This solution comes with configurable dashboard functionality where users can change the view of the report and its context.
"We feel confident in Solvoyo’s supply chain expertise and fashion retail best practices. We are also impressed by the capabilities of their solutions and the agility of their platform. Solvoyo gives us the flexibility and end-to-end integrated planning capabilities we need to keep growing and accomplish our vision of digital transformation."
Detect and react to the operational realities, such as late and inadequate order delivery
Detect and react to the operational realities, such as late and inadequate order delivery
Track the in-season performance of similar products and recommends the best allocation strategy
Determine the optimal allocation quantity based on its sales potential taking to maximize sell-through
Track the in-season performance of similar products and recommends the best allocation strategy
Determine the optimal allocation quantity based on its sales potential taking to maximize sell-through
Integration with Assortment Planning and MFP provides quick access and visibility to pre-season plans
Planners review and approve SKU/Store recommendations as needed
Exception management configured based on rules defined by each business, allows them to focus on the items that need attention
Configurable reports to fit into your allocation management process
Easy access for executive review
Visibility to how recommendations are being followed
Predictive Analytics with AI/ML generating SKU/Store forecasts
Prescriptive Analytics giving actionable recommendations
Automating the allocation process and bringing the “manage-by-exception” concept into practice
Agile to predict, absorb and react to the imperfections of daily business
Integrated with Assortment Planning, Clustering, Initial Allocation, and Replenishment modules
Seamless integration with existing ERP/WMS for fully-automated execution
Configurable operational reports and Executive Dashboard reports with graphics, pivot tables and drill downs
Integration with ERP/WMS systems for no-touch execution
User Acceptance tracking of system recommendations
