The catalog page allows you to view all the information of the assortment of your store including analysis and suggestions to optimize the assortment.

The aim of this section is to determine the optimal catalog for each store.

To access this page, in the Bright Market site, go to Assortment > Catalog.

<aside> 💡 The term “optimum catalog for each store or branch” refers to creating the ideal mix of products tailored specifically for each individual store location within a larger retail chain. This concept aims to maximize each store's sales potential and efficiency by carefully selecting which products and how much to stock based on a variety of factors unique to that location.

Some aspects involved in determining an optimum catalog for each store branch are:

1. Product Demand: predict which products are likely to sell well in the future.
2. Sales and Capacity Analysis: assess the sales performance of each product alongside the store’s physical capacity and any constraints it might have, such as shelf space or logistical considerations.
3. Local Conditions: unique characteristics and challenges of each store, such as demographic differences, regional preferences, or even different competitive landscapes.

In essence, the optimum catalog is about stocking the right products, in the right quantities, at the right time, tailored to the specific needs and conditions of each store branch. This approach helps in meeting business objectives more effectively by enhancing customer satisfaction, increasing sales, and optimizing operational efficiency.

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Article and SKU Analysis table:

This table provides a detailed overview of each article/SKU in the inventory of the store, assessing how optimally each item fits into the store's operations and strategy.

Here are detailed descriptions of the components of this table:

1. Product Name
   • Description: The name of the product as listed in the store's catalog. This field provides an easy reference to identify and discuss the product in inventory management and sales discussions.
2. SKU (Stock Keeping Unit)
   • Description: A unique identifier for each product variant, distinguishing items based on attributes like size, color, and other specifics. The SKU is critical for tracking inventory accurately and facilitating precise stock control.
3. Current and In-Transit Stock for the SKU
   • Description: Displays both the current stock levels at the store and any additional quantities of the SKU that are en route but not yet delivered. This dual-view ensures comprehensive visibility into the total available and forthcoming stock, aiding in inventory planning and management.
4. Optimum Inventory Level
   • Description: Indicates the ideal stock quantity for each SKU, designed to balance supply and demand effectively without overstocking or understocking. This field also includes an indicator that compares the current inventory levels to this optimum, providing a quick visual guide to inventory adequacy. See more on how this is defined.
5. Performance Analysis
   • Description: Evaluates how each article contributes to the store's goals by analyzing sales performance, turnover rates, and profitability. This column reports whether the article is meeting, exceeding, or failing to achieve desired outcomes, aiding in decision-making about product lifecycle management. Additional insights into defining optimum performance here.
6. System-Recommended Strategy
   • Description: Based on the analysis, this column suggests actionable strategies for each SKU, such as continuing to stock, increasing order quantities, or discontinuing an item. The recommendations aim to align inventory levels with market demand and store strategy, optimizing overall store performance. Detailed criteria for these recommendations can be accessed here.

The table is structured across three hierarchical levels to provide a detailed view of inventory and strategic insights:

1. Category: This level presents information about the current stock of each category and an analysis of its efficiency within the store. A recommended strategy (e.g., keep stocking, stop stocking) based on this analysis is also provided.
2. Brand: Expanding a category reveals the brands that have products within that category. For each brand, the table displays data on current stock and an efficiency analysis specific to the store's context, accompanied by a corresponding strategic recommendation (e.g., keep stocking, stop stocking).