---
title: Pricing At Scale
image: https://landing.dsstream.com/hubfs/dss-thumbnail-webinar3009.png
---

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# Pricing At Scale

# Protect Margin & Clear Inventory Across 50,000+ SKUs

See how AI helps high-SKU retailers shift from reactive pricing to continuous margin optimization at scale.

[Register Now](https://landing.dsstream.com/pricing-at-scale#form)

Live Webinar | 30th Sep 03:00 PM CEST

00 DAYS

00 HOURS

00 MINUTES

00 SECONDS

 

OVERVIEW

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# How leading retailers use AI to optimize pricing decisions across 50,000+ products

Managing pricing across thousands of products has become one of the biggest commercial challenges in retail. Pricing teams must balance margin targets, inventory turnover, competitive pressure, and customer demand, all while making decisions across massive product catalogs.

For high-SKU retailers, traditional pricing rules, spreadsheets, and manual analysis simply do not scale.

Join this webinar to discover how AI-powered margin optimization helps retailers make better pricing decisions at scale by combining demand prediction, price elasticity modeling, inventory intelligence, and automated recommendations into a single platform. Based on business policies and guardrails, the system identifies the optimal pricing action for every SKU to maximize profitability while accelerating inventory movement.

# What You'll Learn

01

### Why pricing becomes exponentially harder as assortments grow

Discover why managing up to 50,000+ products creates challenges that traditional pricing approaches cannot solve, leading to margin leakage, inconsistent decisions, and excess inventory.

02

### How AI determines the optimal pricing action for every SKU

Learn how modern retailers use machine learning and scenario simulation to predict demand response, measure price elasticity, and identify the most profitable price move for each product.

03

### How to balance margin protection and inventory clearance

See how AI-driven pricing strategies can support different business objectives, from maximizing margin on fresh inventory to accelerating sell-through of aging stock while maintaining pricing governance.

04

### How retailers maintain control through policies and guardrails

Understand how pricing teams can define margin floors, discount limits, category-specific rules, and approval workflows while allowing AI to automate recommendation generation.

05

### How to measure real business impact

Explore how leading organizations use experimentation and A/B testing to validate pricing decisions and quantify revenue, margin, and inventory improvements before scaling across their entire catalog.

[Save My Seat](https://landing.dsstream.com/pricing-at-scale#form)

![Frame 211](https://landing.dsstream.com/hubfs/Frame%20211.png "Frame 211")

# Who Should Attend?

Chief Commercial Officers (CCOs) Chief Revenue Officers (CROs) VP Pricing & Revenue Management VP Merchandising Category Directors Retail Analytics Leaders Commercial Excellence Teams Digital & AI Transformation Leaders

# Webinar Agenda

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01

### The High-SKU Retail Challenge

- Why pricing complexity increases exponentially with catalog size
- Margin leakage versus inventory clearance
- The limitations of manual pricing processes

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02

### How AI-Powered Margin Optimization Works

- Price elasticity and demand prediction
- Scenario simulation and recommendation logic
- Balancing profit, volume, and inventory objectives

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03

### Live Demo: AI Pricing in Action

- Margin optimization across core assortments
- Overstock and inventory clearance recommendations
- Pricing campaign setup and governance controls
- A/B testing and performance measurement
- Enterprise-scale pricing operations

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04

### Business Impact & Implementation Approach

- Expected operational and financial benefits
- Pilot-to-scale deployment strategy
- Data requirements and integration considerations

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05

### Live Q&A

- Ask your questions

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[Save My Seat](https://landing.dsstream.com/pricing-at-scale#form)

KEY TAKEAWAYS

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After this session, you will understand how to:

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![price-tag-3-line](https://landing.dsstream.com/hubfs/price-tag-3-line.png "price-tag-3-line")

Improve pricing decisions across 50,000+ SKUs

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![discount-percent-line](https://landing.dsstream.com/hubfs/discount-percent-line.png "discount-percent-line")

Protect margins without relying on blanket discounting

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![align-bottom](https://landing.dsstream.com/hubfs/align-bottom.png "align-bottom")

Reduce excess inventory and trapped working capital

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![numbers-fill](https://landing.dsstream.com/hubfs/numbers-fill.png "numbers-fill")

Scale commercial decision-making with AI

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![calculator-line](https://landing.dsstream.com/hubfs/calculator-line.png "calculator-line")

Establish governance and measurable business outcomes

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# Our Speakers

![newsletter\_magda\_1x](https://landing.dsstream.com/hubfs/newsletter_magda_1x.webp "newsletter_magda_1x")

# Magda Okrzeja

Engineering background with hands-on experience designing and delivering AI platforms, orchestration layers, and scalable AI delivery models for enterprise clients. Proven track record translating complex business needs into production-ready AI solutions, focused on architecture, integration, and value realization. Experienced in leading cross-functional initiatives that bridge data engineering, machine learning, and business strategy to drive impact.

[Contact with Magda via LinkedIn](https://pl.linkedin.com/in/mokrzeja)

![newsletter\_bartek\_1x-1](https://landing.dsstream.com/hubfs/newsletter_bartek_1x-1.webp "newsletter_bartek_1x-1")

# Bartosz Chojnacki

Leader of the AI Practice at DS Stream, where he helps retail and FMCG organizations build data platforms powered by AI agents. He specializes in translating complex data challenges into practical, production-ready solutions.

Bartosz is also a certified AI trainer and course creator, and is currently advancing his leadership expertise through the Stanford LEAD Program at Stanford Graduate School of Business.

[Contact with Bartosz via LinkedIn](https://www.linkedin.com/in/bartosz-chojnacki/)

# Save Your Spot

 

 

 

 

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