How the merchandising solution works

How the UiPath Merchandising solution generates insights and recommendations by analyzing merchandising data and evaluating trade-offs across demand, inventory, and pricing.

The UiPath solution for merchandising supports merchandising decisions by analyzing data, evaluating trade-offs, and highlighting recommended actions or insights.

At a high level, the solution uses available data to assess merchandising scenarios and their potential impact on demand, inventory, and commercial outcomes.

Inputs used by the solution

Merchandising relies on data that reflects:

• Product assortments and availability
• Promotional or campaign-related context
• Demand behavior and historical performance
• Business objectives and constraints

Merchandising decision logic and trade-offs

Using the available data, the solution evaluates trade-offs between competing objectives, such as demand uplift, inventory exposure, and commercial performance.

For example, the solution may help teams understand how a planned promotion could affect demand for specific products, whether sufficient inventory is available to support it, or how merchandising actions interact with pricing decisions.

This helps teams assess options before taking action and supports consistent decision-making across merchandising activities.

Outputs and insights

The primary outputs of the merchandising solution are insights and recommendations that help teams decide where to focus and what actions to consider.

These outputs can include:

• Insights into merchandising performance or opportunities
• Indicators that highlight potential risks or constraints
• Recommendations that suggest adjustments to assortments or promotional plans

Teams review these outputs and determine which actions to take. The solution does not execute changes directly; it supports informed decision-making while allowing organizations to retain control over execution.