Case Studies

Walmart built a generative AI-powered search engine using Azure OpenAI Service and proprietary retail models, enabling shoppers to submit natural-language, occasion-based queries and receive curated product bundles. The company reported 22% global ecommerce growth in the quarter when the capability went live.

US beauty retail leader Ulta Beauty built Quazi, a proprietary AI personalization platform, to recommend individualized product combinations across marketing, social, and sales channels — leveraging insights from its 46M+ member loyalty base.

A global lifestyle and beauty brand deployed a gen-AI-powered LLM shopping assistant trained on product data and consumer preferences — achieving up to a 20% lift in conversion rates, reported in a McKinsey analysis of gen AI in the beauty sector.

Macy's new $640 million, 2.5 million-square-foot automated fulfillment center in North Carolina uses robotics and AI to complete orders in less than one day on average — compared to one to one and a half days at conventional warehouses — and more than doubled productivity at its first two automated sites.

UK supermarket chain Morrisons launched an in-app Product Finder powered by Gemini AI models on Google Cloud — using BigQuery and Cloud Run — to help shoppers instantly locate items by aisle and shelf position. The tool saw 50,000 daily uses during the Easter 2025 peak period, reducing shopper frustration during seasonal store rearrangements.

Apparel brand Perry Ellis saw a 25% conversion-rate increase (1.1% to 1.4%) and a 12% rise in revenue per session within two weeks of piloting Yotpo's AI Review Summary, then rolled it out brand-wide. Amazon and Tripadvisor deploy similar AI review summarization at scale.

Renamed from Luminate to Scintilla in 2025, Walmart's supplier insight service gathered 3.4 million verified responses from its Customer Spark Community panel in 2024 — and suppliers who subscribe outpaced non-subscribers with 15% higher omni sales growth.

Amazon's Just Walk Out technology — originally deployed in Amazon Fresh large-format grocery stores — was replaced in 2024 with Amazon Dash Cart smart shopping carts after customer research showed large-store shoppers preferred real-time spending visibility. Dash Cart shoppers at Amazon Fresh spend 10% more than non-Dash Cart shoppers, with 98% customer satisfaction and over 80% repeat usage rates. Just Walk Out continues to expand in small-format third-party locations.

Amazon's Catalog team applies generative AI to enrich product data at scale and uses causal random forests and Bayesian structural time series to rigorously measure whether enrichments improve customer decisions and conversion.

UK supermarket giant ASDA adopted Perfecto AI's cloud-based testing platform to automate mobile and web testing across its ecommerce site, mobile app, Scan & Go, and Rewards apps — achieving a 50% increase in test coverage, 70% reduction in manual testing effort, and a 4x expansion in device and OS coverage.

Australia's leading grill retailer replaced a legacy B2B ordering system with BigCommerce B2B Edition in just 12 weeks, expanding its dealer network from one to more than 70 across Australia and New Zealand while enabling self-service quoting, invoicing, and ordering for trade buyers.

Denmark-based fashion group Bestseller implemented Leapwork's low-code test automation platform, enabling functional business users to create and maintain test flows across Dynamics 365, POS, and e-commerce systems — without relying exclusively on technical staff.

Using ThroughPut AI, a 65-year-old European retailer reprioritized 150 high-value SKUs and trimmed 200 low-demand items, reducing operating expenses by €2 million within 90 days and identifying up to €10 million in bottom-line impact per facility.

Chicago-based fresh food retailer Farmer's Fridge migrated its fleet of 2,000+ IoT-connected refrigerated kiosks to Hologram's cellular platform, cutting IoT network costs by 50% and achieving what CEO Luke Saunders called one of the company's highest ROI investments.

Kesko deployed Navigine's Bluetooth LE indoor navigation across 98 Finnish supermarkets, equipping shopping carts with tablets that guide shoppers to products in real time. The system raised average check size by 6%, reached half of all cart users with targeted push promotions, and routed one in four shoppers along optimized paths.

Luxury fashion brand Hugo Boss deployed AI demand forecasting and inventory optimization with partner Invent Analytics, achieving a 3.4% improvement in its inventory-to-sales ratio and a 15% reduction in stockouts across its 450+ store network — though the 3.4% figure was not confirmed in a primary source fetched.

Muc-Off, an online retailer of cleaning products for bikes and motorcycles, used Dragonfly AI's heatmap technology to identify where users were dropping off their homepage, repositioned key visual elements, and achieved a 106% increase in purchases.

Swedish fashion brand NA-KD raised customer lifetime value 25% (and reported 72x ROI) within a year via cross-channel personalization with Insider; Danish retailer Ganni drew 9% of store sales from clienteling; Target fulfills more than 80% of online orders from stores.

Nike's Hong Kong division moved from zero lifecycle campaigns to ten in its first year with SAP Emarsys, achieving a 110% increase in automation-driven revenue, a 32.5% rise in website visits, and a 28% increase in average order value over 90 days.

The global beauty retailer deployed heat mapping to understand where customers walk, pause, and engage with products — then acted on findings to reposition Beauty Studios and align staff deployment with peak traffic patterns. Specific revenue metrics are not publicly confirmed.

In March 2024, Ulta Beauty launched a pilot of SOS smart vending machines in 10 U.S. stores, allowing loyalty members to claim one free sample per week from a rotating cosmetics and skincare assortment, merging in-store product discovery with digital advertising and rewards program data capture.

A pilot of autonomous inventory management using computer vision, shelf sensors, and agentic AI reduced out-of-stock events by 30% within six months; broader deployment of inventory robots across 500+ stores has also reduced inventory inaccuracies and manual labor costs.

Walmart launched virtual clothing try-on for shoppers using personalized avatars, then expanded into eyewear in January 2024 using 3D digital twin technology across 750 initial frame styles — later growing to more than 1,700 by mid-2025.

Walmart's proprietary AI-driven route optimization system — which won the 2023 Franz Edelman Award — bypassed 110,000 inefficient delivery paths, eliminated 30 million unnecessary miles, and prevented 94 million pounds of CO₂ emissions.

Walmart's proprietary AI route optimization system eliminated 30 million unnecessary miles and 94 million pounds of CO₂ emissions, won the 2023 Franz Edelman Award, and is now commercialized via Walmart Commerce Technologies for third-party retailers including The Home Depot.

Walmart deployed large language models across its product catalog to create or improve more than 850 million pieces of data, dramatically improving search accuracy, store associate efficiency, and inventory operations.

Within the first year of deploying AI-powered virtual try-on, Zara recorded a double-digit decline in size-related product returns and a 22% uplift in conversion rates among users who engaged with the tool — establishing a direct link between synthetic fitting and purchase confidence.

By aggregating store sales, e-commerce interactions, and social media data through AI, Zara/Inditex can identify local demand shifts — such as patched pants outperforming plain ones in specific markets — and adjust production runs within days rather than months.

Two peer-reviewed studies published in the Journal of Textile Science and Technology (February 2023) demonstrate that incorporating weather data into retail sales forecasting reduces average forecast errors by 8.6% to 12.2%, with up to 50.6% improvement on summer weekends — and that adding location, season, and product category can lift retailer revenue by 2%.

Albertsons Companies Inc. uses weather-adjusted demand forecasting to anticipate demand shifts for weather-sensitive products, including soups and chilis that spike in Northeastern fall weather, and coffee that fluctuates 5% on average — rising up to 10% during cool spells.

French multinational retailer Auchan adopted the Katalon platform including Runtime Engine, TestCloud, and TestOps to automate web and mobile testing across browsers and devices, reducing manual regression work and improving release reliability for its e-commerce and order management systems.

Shoeby replaced manual min/max replenishment across 240 stores with WAIR's AI Replenisher, lifting forecast accuracy from 78% to 95%, cutting overstock from 22% to 5%, and generating €2.9 million in added revenue in the first year — with just 6 merchandisers managing the full network.

Instacart's Platform Excellence Operations team partnered with PredictHQ to replace hundreds of hours of manual city-event research with an AI-powered API integration, cutting research time by 50% and freeing the team to focus on real-time fulfillment protection across 80,000+ stores.

L'Oréal CEO Nicolas Hieronimus confirmed the beauty group hosted more than 100 million digital try-on sessions across its brands in 2023 — a 150% jump from the 40 million sessions recorded in 2022 — powered by its ModiFace augmented reality platform.

Canada's largest sporting goods retailer used Attention Insight's AI-powered predictive attention tool — trained on millions of eye-tracking studies — to redesign their shopping cart page, nearly tripling the visibility of the free shipping banner and achieving a 7.3% increase in transactions with 99.5% statistical confidence.

The subscription fashion retailer uses OpenAI's GPT-3 for ad headline generation and product descriptions — achieving a 77% pass rate and near-instant copywriter review times — and DALL-E 2 to help stylists visualize customer requests. Specific order value uplift from the AI style assistant is unconfirmed.

Working with optimization firm The Good, Swiss Gear reduced visual noise on product detail pages through structured A/B testing, achieving a 52% conversion lift under normal conditions and 137% during the holiday season.

Target built the Inventory Ledger — a machine learning ensemble that infers inventory inaccuracies from underlying data patterns and automatically corrects them — processing up to 360,000 inventory transactions per second across nearly 2,000 U.S. stores to ensure products are available and replenishment is triggered.

An anonymous UK online health and beauty retailer deployed Evolv AI's computer vision and generative AI across homepage, product listing, and checkout pages, achieving an 8.1% conversion lift and $5 million in incremental annual revenue.

Walmart's centralized AI/ML inventory platform analyzes demand at the individual item-store-day level, enabling proactive replenishment, geographic redistribution of inventory, and anomaly 'forgetting' to avoid over-correcting on one-time events.

By layering historical sales, online search trends, macroeconomic signals, and a patent-pending anomaly-forgetting capability, Walmart's AI/ML engines optimize holiday inventory placement end-to-end across its omnichannel network.

Walmart deploys AI and big data analytics combining historical and real-time signals to forecast demand and optimize inventory placement across its massive retail network, underpinning its ability to serve 200 million shoppers during peak events.

Europe's largest online fashion retailer deployed an internal beta of a ChatGPT-powered fashion assistant in five weeks and expanded it to all 25 markets in local languages by October 2024 — a blueprint for rapid generative AI deployment at scale.

Sweden's H&M built machine learning models trained on 10+ years of historical data plus external signals — search trends, weather, and social media — to forecast item-level demand per store, with a reported 30% profit uplift from reduced overstock.

H&M's AI-powered inventory system aggregates data from search engines, blogs, and sales data to inform what to restock and where, helping the fast-fashion retailer respond to short trend cycles across its global store network.

Using Contentsquare's frustration-scoring and session-replay tools, Harrods' UX team discovered that a vague 'First name' field error was driving checkout abandonment—changing the copy reduced rage clicks by half and cart abandonment by 8%.

Levi Strauss deployed its BOOST (Business Optimization of Shipping and Transport) platform to expand fulfillment from distribution centers to stores, reduce split shipments, and automatically route e-commerce orders to the best fulfillment point based on current sales data.

UK media ecommerce operator Monwell deployed Athos Commerce's intelligent search and personalized recommendations across four brand stores, driving 6× higher conversion from search users and 7× higher revenue per visit — with 34% of total revenue attributed to search.

By consolidating fragmented multi-store and online records into one master data platform, Red Wing gave marketing, sales, and service real-time access to accurate customer profiles — eliminating the 'four customers for the price of one' problem.

The British sportswear brand deployed Insider's cross-channel journey orchestration to send contextually relevant price-drop and cart-abandonment notifications via email, web push, on-site, and SMS — delivering 49× ROI and a 700% lift in customer acquisition.