Retail solutions

Agentic AI for retail automation

Transform critical retail processes, including pricing, inventory management, and supply planning.

Agentic AI for retail automation

Transform critical retail processes, including pricing, inventory management, and supply planning.

Retail, reimagined

The ready-to-deploy UiPath retail solutions help teams streamline inventory management, power perfect pricing, and orchestrate effective fulfilment.

93%
of US IT executives are extremely or very interested in applying agentic AIGartner, 2025
45%
of those executives are ready to invest in agentic AI this yearGartner, 2025
30%
plan to begin investing in the next six monthsGartner, 2025

Discover the UiPath Solution for merchandising

Agentic AI manages the complete merchandising lifecycle. Inventory, pricing, and promotional decisions executed in real time, aligned to market conditions. This is the next era of merchandising, automated.

READY TO DEPLOY

UiPath Solution for merchandising

Optimize the merchandising lifecycle, supplier to shelf

AI optimizers forecast demand at SKU, channel, and store. Agents act on those forecasts to set prices, plan promotions, and replenish stock. Maestro orchestrates every step with human-in-the-loop oversight.

  • Intelligent inventory optimization
  • Dynamic pricing in real time
  • Strategic markdown execution
  • Business-aligned decision making

READY TO DEPLOY

Markdown

Right price, every time

SKU-level markdown optimization for merchandising teams ready to stop living in spreadsheets. AI models apply your inventory, transaction, and pricing data inside your business targets.

  • SKU-level price recommendations
  • Works by location and channel
  • Accounts for business targets
  • Protects in-season margin

READY TO DEPLOY

Promotions

SKU-level promotional planning

Grow revenue without trading margin. AI plans promotions across channels and learns from every campaign.

  • Tests discount and timing combos
  • Learns from each campaign
  • Measures incrementality
  • Tracks cannibalization effects

READY TO DEPLOY

Replenishment

Optimal stock at every store

AI replenishment syncs stock to demand across your full network, product by product.

  • Matches stock to real demand
  • Avoids overstock and stockouts
  • Optimizes working capital
  • Plans across your network
Transcom black logo
Lotte Shopping E-commerce black logo
Debenhams logo
ASOS logo
Sweaty Betty logo
Village Super Market logo
Transcom black logo
Lotte Shopping E-commerce black logo
Debenhams logo
ASOS logo
Sweaty Betty logo
Village Super Market logo
retail clothing store woman pointing to laptop

Discover how AI can revolutionize retail operations

Transform the end-to-end customer experience across orders, fulfilment, and post-sale.

Make every connection matter

Create experiences that turn casual browsers into lifelong buyers.

Transform processes, delight customers

Turn unstructured data into powerful insights and personalized experiences.

Optimize product inventory and pricing

AI built to drive growth, profit, and efficiency in your business.

Explore the UiPath Solution for merchandising

AI that manages merchandising decisions autonomously

CASE STUDY

Transcom deployed 250 robots across customer service operations to cut manual work for agents and reclaim tens of thousands of hours a year.

  • 250

    robots deployed

    2M+

    tasks executed yearly

    60K

    hours of replicating work saved per year

  • 97%

    less time to produce a report

    4x

    more processes automated

    20K

    raw data files mined monthly

UiPath

White paper

The introductory guide to agentic AI for retail merchandising

Transform your entire merchandising operation with intelligent automation that improves every decision across the merchandising lifecycle.

Dan Finley - CEO, Debenhams Group
"As a digital-first retailer, we’re embracing AI to make smarter, faster decisions that simplify our operations and enhance the customer experience. This technology will transform how we manage stock and pricing."

Dan Finley

Group CEO, Debenhams Group

Agentic AI for retail: go deeper

person in white tshirt and jeans looking at rack of shirts in retail store

BLOG

Retail thought leadership from Catherine Frame

How retailers are rebuilding decision-making and execution around AI agents. Latest perspective from a retail lead at UiPath.

Read the latest
woman in white blouse in retail clothing store looking at agentic merchandising tool on tablet

BLOG

Redesigning the retail operating model in the agentic era

How leading retailers are rebuilding decision-making and execution around AI agents.

Read the blog
woman on a mountaintop

ON-DEMAND WEBINAR

Navigating the new era of trade compliance

Agentic automation for Harmonized Tariff Schedule (HTS) code classification. Watch how retailers automate trade compliance.

Watch now

Retail automation FAQs

Common questions about how agentic AI and automation work in retail.

  • Retail automation is the use of software to run retail operations without manual work: forecasting demand, setting prices, reordering stock, managing promotions. Modern retail automation combines AI agents that make decisions with automation that executes the resulting work across your systems.

  • Robotic process automation (RPA) in retail automates rules-based tasks like data entry or reconciling reports between systems. Agentic AI adds judgment: AI agents analyze data and make recommendations that merchandisers approve or adjust. UiPath combines both so retailers get the speed of automation with the intelligence of AI agents.

  • Retail automation software combines machine learning forecasts with AI agents that act on those forecasts. Agents set prices, plan promotions, and adjust stock levels across stores and channels. The UiPath Platform delivers this as a ready-to-deploy solution for merchandising, governed by a central AI Trust Layer.

  • Retail AI automation is the next generation of retail automation. Rather than rule-based scripts, AI agents reason over your data and make decisions inside policy guardrails. Humans stay in charge of approvals and exceptions while agents execute the routine work across your retail systems.

  • Robotic process automation in retail handles deterministic work: reconciling stock between POS and ERP, posting invoices, generating reports. UiPath layers AI agents on top of that RPA foundation, so the platform handles both predictable execution and intelligent decisioning in one governed workflow.

Automate and optimize the entire retail merchandising lifecycle

Ask AI about...Ask AI...