Shelf Digitization

**Overview**

Pensa is a leading innovator in changing the way brands and retailers manage retail shelf inventory. It is the industry's first scalable Vision AI solution for computer vision and AI at retail.

With its broad product portfolio for HQ planning and in-store execution , Pensa enables CPG brands and retailers to reduce stockouts and boost revenues by delivering highly accurate real-time visibility of the store shelf at a fraction of the cost of other solutions.

**Use cases**

- Optimize shelf space by identifying underperforming shelves and sections.
- Monitor product availability across shifts to reduce stockouts and improve customer satisfaction.
- Compare brand and category performance to make data-driven merchandising decisions.
- Identify trends in manufacturer representation to optimize supplier collaboration.

**Product details**

Datasets represented include:

- facings_counts table

Sample fields include:

- scan_date: Date of the scan.
- scan_shift: Shift when the scan occurred (e.g., Morning, Afternoon).
- section: Store section where the product is placed.
- shelf: Specific shelf within the section.
- facings_count: Number of product facings on a shelf.
- product: Product name or description.
- manufacturer: Product manufacturer.
- product_category: Product category (e.g., Batteries and Accessories).

For more details, refer to the embedded notebook.

**Additional Insights**
Pensa Systems Inc. helps retailers and manufacturers boost efficiency and profitability by leveraging cutting-edge shelf data

搜集汇总

背景与挑战

背景概述

该数据集提供零售货架的数字化信息，包括产品摆放、库存状态等数据，帮助品牌商和零售商优化货架管理和减少缺货情况。数据覆盖美加地区，每季度更新，包含扫描日期、班次、产品类别等详细字段。