Merchandising Recommendation
Overview
The Merchandising Recommendation provides data-driven insights to assist our customers in optimizing product placement in assets based on consumption behavior. It analyzes sales metrics, such as daily and weekly sales data, and incorporates asset configuration inputs to generate recommendations for the optimal number of facings for each product. The output is displayed in a user-friendly format, sorted by suggested facings, providing insights that support efficient inventory management and strategic product placement decisions.
Key Benefit | Description |
---|---|
Product Placement Insights | Provides recommendations for ideal facings based on sales data, must-have SKUs, product launches and promotions, offering insights to help ensure fast-moving products receive adequate shelf space for enhanced visibility |
Sales Performance Analysis | Highlights high-demand products through data analysis, providing insights that support improved consumer satisfaction and accessibility |
Intuitive Data Presentation | Simplifies complex calculations and presents results in an accessible format with planogram layouts, making insights readily available to all users |
Tailored Configuration Analysis | Analyzes specific cabinet details (e.g., shelves, facings, depth) to generate customized recommendations that fit unique store or asset setups |
Targeted Users and How It Provides Value
User Role | Use Case | Value Delivered |
---|---|---|
Category Managers | Analyze product placement across multiple outlets and assets | Provides holistic insights into product performance to support better portfolio management |
Store Managers | Access recommendations to support in-store product visibility decisions | Delivers insights that assist in simplifying product arrangement while ensuring high-demand items remain visible |
Merchandisers | Utilize data to create planograms aligned with consumer demand | Offers visual representations and insights that support effective planogram design |
Retail Operations Teams | Standardize product placement approaches across locations | Delivers insights that assist in ensuring consistency in product placement and operational efficiency |
Summary
The Merchandising Recommendation is an analytical tool that leverages sales data and asset configuration to provide actionable insights for product placement optimization. It delivers value to a wide range of users by offering data-driven insights that assist with inventory management, sales performance analysis, and strategic decision-making processes.