10 Best Examples of Using AI for Retail Experiences

At the core of this transformation is data. AI requires complete, consistent product information to function effectively. That’s why modern retailers are turning to central systems like Pimberly to manage and enrich product data. By integrating AI with PIM and DAM systems, brands can power the next generation of retail experiences across every channel.

Case Study: Amazon’s Recommendation Engine

Amazon’s AI recommendation engine uses customer behavior, purchase patterns, and product metadata to fuel one of the most advanced cross-selling systems in retail. This personalized shopping experience contributes significantly to Amazon’s customer retention and revenue growth.

How Pimberly Enhances Personalization

Retailers using Pimberly’s PIM and DAM capabilities can ensure product data is complete, enriched, and structured—key ingredients for effective AI recommendations. This data consistency ensures that personalization efforts are accurate and compelling across websites, apps, and marketplaces, helping retailers leverage AI in next generation PIMs to drive revenue.

2. Inventory Management Optimization

Inventory management can make or break a retail business. AI plays a crucial role in forecasting demand, optimizing stock levels, and tracking inventory in real time. The result? Fewer stock drops, less waste, and a more efficient supply chain.

Case Study: Walmart’s AI-Driven Inventory

Walmart uses AI to monitor sales trends, optimize restocking, and adjust inventory at scale. Especially during peak seasons, their AI-driven platform ensures high availability while minimizing surplus.

Pimberly’s Role in Streamlining Inventory

By maintaining centralized product and inventory data, Pimberly empowers AI to make smarter inventory decisions. The result is faster time to market, more accurate forecasting, and reduced operational complexity—key components for retailers who want to harness AI to reduce time-to-market and scale efficiently.

3. Dynamic Pricing Strategies

Dynamic pricing is one of the most impactful uses of AI in the retail industry. By analyzing customer behavior, market demand, competitor pricing, and inventory levels, AI adjusts prices in real time to maximize margins and remain competitive.

Case Study: Zara’s Pricing Model

Zara uses AI to analyze market conditions and demand across regions, dynamically adjusting product pricing to meet sales goals and avoid markdowns. This AI-driven strategy increases profitability while aligning with customer expectations.

Implementing a Dynamic Pricing Strategy with Pimberly

For dynamic pricing to work, data must be accurate and up to date. Pimberly ensures that product attributes, availability, and price tiers remain consistent across systems, so AI can make informed pricing decisions in real time.

4. Visual Search & Augmented Reality

AI-powered visual search and augmented reality in retail offer immersive, intuitive shopping experiences. Customers can upload an image to find similar products or visualize items in their space using AR.

Case Study: IKEA’s AR App

IKEA’s app lets users place virtual furniture in their homes using AR, powered by AI. The tool increases buyer confidence and has become a benchmark for furniture eCommerce innovation.

Pimberly’s Integration with Visual Search & Augmented Reality

Pimberly’s DAM system centralizes high-resolution assets, 3D files, and visual metadata. This enables AI and AR tools to easily interpret product visuals and display them accurately—fueling rich, interactive retail experiences.

5. Chatbots & Virtual Assistants

AI chatbots and virtual assistants are revolutionizing customer support. They provide instant, 24/7 service while helping brands reduce costs and improve customer satisfaction.

Case Study: Sephora’s Virtual Artist

Sephora’s chatbot helps users discover beauty products tailored to their needs. It provides tutorials, color matching, and product suggestions—all through a seamless AI interface.

Enhancing Customer Support with Pimberly

AI chatbots rely on accurate product data to be effective. By pulling from Pimberly’s centralized product content, bots can respond to queries confidently, improving product discovery and streamlining the AI-enhanced onboarding experience.

6. Fraud Detection & Prevention

Retail fraud is an ongoing threat. AI strengthens fraud detection by identifying anomalies in customer behavior, transactions, and product listings—helping retailers act before damage is done.

Case Study: eBay’s AI Security Measures

eBay’s AI-powered platform detects counterfeit products, flags fraudulent activity, and protects sellers and buyers at scale.

Pimberly’s Approach to Data Security

Pimberly’s governed data environment helps retailers spot inconsistencies and irregularities that AI can flag for review. Clean, structured data improves fraud detection while supporting AI-driven PIM systems built for the future.

7. Supply Chain & Logistics Optimization

AI is transforming retail logistics by enabling smarter demand forecasting, route planning, and inventory distribution. With AI, retailers can reduce delivery times, lower costs, and enhance customer satisfaction.

Case Study: Alibaba’s Smart Logistics

Alibaba uses AI to manage one of the most advanced logistics networks in the world. Its AI engine optimizes shipping routes, automates warehouse operations, and minimizes delivery times—even across borders.

Pimberly’s Impact on Supply Chain Efficiency

Pimberly acts as a trusted source of product truth, ensuring SKUs, weights, compliance documentation, and other supply chain-critical data are accurate and accessible. This empowers AI to make informed logistical decisions, improving performance across the board.

8. Product Content Generation using Generative AI

Generative AI in retail is streamlining product content creation—producing everything from descriptions and titles to SEO metadata at scale.

Case Study: ASOS’s Automated Descriptions

ASOS uses generative AI on Microsoft Azure to auto-generate consistent product descriptions, saving time while

How Pimberly Supports Creating Compelling Product Copy

Pimberly empowers retailers to use AI for product copywriting by integrating structured attributes and digital assets into content generation workflows. This makes it easy to produce SEO-friendly, on-brand descriptions—helping businesses accelerate time-to-market and product onboarding.