Core Use Cases
Store-level Performance
Analyze product performance at individual store levels. Identify which stores are driving sales, track sales trends, and understand the factors influencing store performance. This information is crucial for making strategic decisions about inventory distribution, promotions, and store-level marketing efforts.
Out-of-Stock and Void Reporting
Monitor product availability across stores, identify products that are frequently out of stock or have voids, address supply chain issues to optimize stock levels and reduce lost sales opportunities.
Promotional Effectiveness
Evaluating promotional effectiveness involves analyzing the impact of marketing campaigns and promotions on sales. Determine which promotions drive sales, compare baseline sales with incremental sales during promotional periods, and optimize future promotional strategies to maximize return on investment.
New Item Performance Tracker
Tracking the performance of new items is essential for understanding their market acceptance and sales trends. Monitor sales and distribution trends for new products and make informed decisions about product launches, marketing strategies, and inventory management.
Metrics
Here are the key metrics tracked for Whole Foods Market data:
Dollars: Total dollar sales.
Units: Total number of units sold.
ARP: Average retail price per unit.
Stores Selling: Number of stores with items selling.
TDP: Total count of unique distribution placements (i.e., store & item combinations)
Avg # Items Selling: Average number of items sold per store selling.
Avg U/S/W/I: The average weekly units sold per item per store selling
Return Amount: Total value of returned products.
Gross Sales: Total sales revenue, including returns (Net Sales + Return Amount).
% Returns: The percentage of returns calculated as Return Amount divided by Gross Sales.
Reporting Comparison Periods
YoY (Year-over-Year): Comparing the current period's metrics to the same period in the previous year.
PoP (Period-over-Period): Comparing the current period's metrics to the previous period.
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