Sales and Inventory Data for Retail Business Intelligence

**Overview**:
For supplier organizations engaged in retail, distribution, and e-commerce, SPS Commerce provides full-service data support through the world’s largest retail network. With over 1 million mapped connections and 4,000 trading partners we are the leader in providing the sales and inventory data that keeps the supply chain running smoothly.

**Use cases**:
**Uncover New Sales Opportunities**

Quickly identify trends in sales and inventory data to enable proactive decision-making.

Reduce stockouts and minimize lost sales opportunities.

Identify opportunities to expand product distribution to new retailers or locations.

Detect areas needing adjustments, such as pricing or promotional strategies, to boost sales velocity.

**Enhance Supply Chain Efficiency & Expand Margins**

Gain real-time visibility into inventory levels post-warehouse to improve planning and forecasting.

Develop data-driven inventory management strategies to boost profitability and minimize waste.

Optimize production planning to maintain adequate stock levels without overproduction.

**Maximize Marketing ROI**
Use data insights to identify marketing efforts that drive sales and eliminate ineffective spending. No longer rely solely on direct-to-consumer (D2C) sales and shipments to evaluate promotional impact and market dynamics.

**Compare Wholesale vs. D2C Channels**
Empower teams with insights to understand market trends and connect more effectively with end consumers.

Optimize channel performance by analyzing and adapting to consumer shopping habits.

**Improve Forecasting Accuracy**
Leverage POS data to create precise demand forecasts and align inventory levels.

Avoid business risks caused by decisions based on incomplete or inaccurate data.

Overview of data:

There dataset includes rich item, location, and sales related activity occurring at retail.

Overview of data:

There dataset includes rich item, location, and sales related activity occurring at retail.

**Table**
**Retailer_Metadata**: Contains metadata information about Retailers included in the listing
- Retailer Name
- Data Granularity

**Retailer_Item**: The retailer provided item indicators, attributes and classification information
- Product ID
- Product Type
- Product Description
- Vendor Name
- Brand Name
- Department
- Category
- Subcategory
- Class
- Gender
- Style
- Color
- Size
- UPC
- SKU
- MSRP
- Cost
- Item Status

**Location**: The retailer provided store, warehouse or online location where sales occurs or inventory is held
- Location ID
- Retailer
- Store Name
- Address
- City
- State
- Location Type
- Open Date
- Close Date
- Latitude
- Longitude

**Activity**: The sales, shipment, and inventory activity occurring by item, location and time
- Period Ending Date
- Retailer
- Item ID
- Location ID
- Units, Retail, and Costs for:
- Gross Sales
- Net Sales
- Customer Returns
- Inventory
- Inventory Adjustments
- Receipts
- In Transit
- On Order
- Adjusted Costs
- Acquired Costs
- Markdown Values

Data source: SPS Commerce

Frequency of updates: Daily

File format: Delta

搜集汇总

背景与挑战

背景概述

该数据集提供零售业务的销售和库存数据，涵盖商品、位置及销售活动信息，由SPS Commerce每日更新，适用于零售、分销和电子商务领域的供应商组织，覆盖多个地区。