Retail & E-commerce AI Deployments

Vxceed, a global SaaS provider for consumer packaged goods sales and distribution, built a near real-time AI platform on AWS to improve store-level visibility and execution for retail-focused organizations.,The platform interprets store signals, produces actionable guidance for commercial teams, and generates AI news bulletins with audio and video.

AtlasV operates Collart, an AI visual creation platform for fashion, e-commerce, portrait, and social media content creation.,It helps brands, merchants, and creators transform product images, model photos, selfies, and creative references into high-quality images and videos for marketing, social distribution, and personal branding.,The company integrates Alibaba Cloud Wan 2.7 multimodal generation and Alibaba Cloud Model Studio into user-facing creation workflows so users can turn static assets into dynamic, commercially usable visual content faster.

Overdose Digital, an AI-first consultancy and digital commerce agency, centralized ecommerce data in BigQuery and used Looker as a governed semantic layer to ground generative AI and reduce hallucinations.,The company built an agentic workflow where Looker-defined metrics trigger Vertex AI and Gemini-based agents to generate hyper-localized creative briefs and assets with human oversight.,It also used BigQuery AI to detect creative fatigue and automatically trigger a synthesis loop that refreshes creative strategy near real time for nearly 300 clients.

Chow Tai Fook Jewellery Group standardized on Microsoft 365 E5 and Microsoft Purview, then used Microsoft Azure OpenAI Service, Microsoft Fabric, GitHub Copilot, and a Copilot ecosystem to embed AI across luxury retail operations.,The company deployed more than 400 customized AI agents, built a closed-loop AI empowerment system for diagnosis, training, and real-time execution, created a hyper-aware omnichannel AI engine linking online intent to inventory-backed recommendations, and introduced a natural-language AI Insights Platform for management.

Picsart is a creative content platform that uses Google Cloud and Gemini Enterprise Agent Platform to automate multimodal photo and video creation and editing.,The implementation transforms short user prompts into near-real-time outputs, scales media workloads, and helps control infrastructure costs through on-demand GPU autoscaling.,Picsart also built a modular Picsart Flow pipeline that connects image generators, video processors, dubbing tools, and music creators into an automated asset workflow.

New Aim built an AI-native operating layer on Google Cloud to replace siloed spreadsheets and manual SKU/inventory calculations.,It centralized transaction and logistics data in Cloud Storage and BigQuery, used BigQuery ML for demand and pricing models, and deployed 24/7 internal agents with Gemini Enterprise Agent Platform and Gemini Flash models.,The system lets planners query complex metrics in plain English, keeps human-in-the-loop validation for qualitative adjustments, and runs applications on Cloud Run.

Foodpairing (Belgium) uses Gemini Enterprise Agent Platform and Gemini with BigQuery, Cloud Run, Cloud Storage, Cloud SQL, Firebase, and Google Kubernetes Engine to predict consumer tastes.,The company digitizes lab measurements for 100 products per day, streams them into Cloud Storage and BigQuery, and uses roughly 200,000 digital twins plus Gemini-powered agents to simulate reactions to new flavors and packaging.,The article claims more than 75% correlation with real consumer panels and says the briefing-to-formulation cycle dropped from 18 months to days.

ImagineArt consolidated global ad and analytics data in BigQuery and used Google Cloud models to support a high-fidelity creative production workflow.,The company integrated Gemini in its Chatly platform, added specialized generative models such as Veo and Nano Banana, and moved toward agentic workflows through Imagine Assist and Omni Agent.,By combining these services with real-time tracking in Data Studio, ImagineArt replaced manual planning, modeling, and shoots with a more automated creative operating model.

Shopify co-developed the Universal Commerce Protocol with Google and built the Sidekick assistant on Google Cloud to support millions of merchants with agentic commerce experiences, conversational assistance, data-driven decision support, and action execution.

Lighthouse, a global hospitality technology company, needed to move from prescriptive custom reporting toward flexible self-service analytics for hotel chains and management companies.,The company used Looker with LookML semantic modeling and embedded dashboards to launch BI Pro, a premium analytics tier with custom report building, visual metric galleries, templates, and personalized scheduled reporting.,Lighthouse positioned the platform as AI-ready and conversational-analytics-ready, with the semantic layer serving as the trusted metrics foundation for future natural-language insights.

Bark.com and AWS collaborated on a scalable AI video generation solution that transforms marketing content production from weeks to hours.,The system supports multiple customer micro-segments, maintains voice and visual identity, and combines iterative quality evaluation with human review for brand alignment.

Carousell Group, a multi-category classifieds and recommerce marketplace, used Google Cloud generative AI and data services to improve seller listing creation, scale fraud analysis, and automate internal workflows.,The company built a new "List with AI" experience that lets sellers upload a short video or photos and uses Gemini's multimodal capabilities to generate listing titles, descriptions, category, price, condition, and style variants for review.,Carousell also moved fraud model bulk inference to an integrated BigQuery and Vertex AI workflow so it can analyze its full chat dataset and iterate much faster than before.,Internally, Carousell created a Gemini-based translation workflow and a secure Slack bot that answers HR questions from policies stored in Google Drive.

Unilever, a global consumer goods company, faced the challenge of complicated website navigation and low conversion rates due to customers struggling to find products and information efficiently. In partnership with Capgemini and Microsoft, Unilever implemented a multi-agent AI system built on Microsoft Azure, orchestrating a suite of specialized AI agents to deliver seamless, contextual, and multi-language customer experiences on their e-commerce platform.,The multi-agent system leverages Azure AI, Azure OpenAI (GPT-4), Azure AI Search, Cosmos DB, and PromptFlow to power natural language interactions, personalized product recommendations, and adaptive global language support. An orchestrator agent intelligently routes queries to the right agent, while retrieval-augmented generation (RAG) enables the system to combine internal product and recipe data with external generative models for accurate, real-time responses.,Key safety guardrails were implemented, including robust content moderation and prompt restrictions, ensuring secure interactions across use cases. The solution not only enhanced discovery and recommendation features but also improved order fulfillment by integrating with back-end shopping cart workflows.,Notable business outcomes include faster and more accurate query responses, increased user engagement, improved conversion rates, and a frictionless global user experience, setting a new e-commerce standard for digital customer care.

Retailers worldwide are adopting agentic AI to transform customer and store associate experiences. Swedish retailer Lindex has rolled out a custom Copilot to deliver contextually relevant, AI-guided support for store associates, boosting efficiency and service quality. Kappahl utilizes Store Operations Agent, a generative AI solution providing secure, on-demand answers to product and store policy questions, expediting decision-making on the sales floor. The deployment is underpinned by Microsoft’s Cloud for Retail, Azure AI Foundry, and Copilot Studio, with over 1,400 prebuilt connectors for rapid retail-scale AI customization. The solution empowers associates, optimizes operations, personalizes shopper journeys, and enables scalability for growth across global retail contexts.

Walmart has implemented a series of AI-powered solutions to enhance its retail operations, employee productivity, and customer service outcomes.,These innovations include the deployment of an intelligent truck-loading system in distribution centers, streamlining store associates’ tasks and improving efficiency.,Walmart introduced a QR code-based backroom inventory management system, raising accuracy and accelerating item tracking.,At headquarters, the organization launched 'My Assistant,' a secure large language model wrapper to give associates daily access to AI tools.,An AI-powered benefits help desk, leveraging Walmart’s 300-page guide, reduced query handling time by 50%, while AI summarization tools transformed lengthy case management tasks into minutes.,Walmart is using agentic AI—autonomous agents able to execute coordinated workflows and automate 90% of routine tasks, freeing workers for high-value customer-facing activities.,This transformation is supported through a strategic partnership with SymphonyAI, the 2024 Microsoft Partner of the Year for Business Transformation - AI Innovation.,Walmart’s CEO envisions every associate utilizing AI to drive both better outcomes for customers and greater satisfaction and productivity for employees.

Brain Corp is an AI software leader that powers the world's largest fleet of autonomous mobile robots operating in commercial indoor public spaces. To scale and improve its AI platform 'BrainOS', the company migrated from AWS to Google Cloud and redesigned BrainOS from a monolithic architecture to a modern microservices architecture using 28 Google Cloud native services.,The migration enabled real-time robot-cloud communication instead of syncing every 60 seconds, improving robot performance and customer interactivity with a mobile app providing real-time robot status.,Key Google Cloud services used include Google Kubernetes Engine Autopilot, Cloud Storage, Pub/Sub, BigQuery, Firestore, Cloud Logging, and Identity-Aware Proxy for security. This infrastructure supports data ingestion, storage, real-time analytics, and security requirements.,The migration process took six months, with thousands of robots migrated globally without impacting customer experience. Subsequently, software updates can be deployed six times faster.,Brain Corp achieved cutting yearly infrastructure costs by 60%, scaling workload efficiently without exponential cost growth, and accelerating new AI-powered retail services including Store Vision AI for inventory insights and virtual store tours.

FairPrice Group launched AI-powered supermarkets with cloud-connected shopping carts featuring in-cart assistants powered by Google Cloud's Chirp 2 speech recognition and Gemini API for personalized product recommendations and conversations.,Customers benefit from improved search with Vertex AI Search and in-store knowledge agents providing recipe-based complementary product suggestions using Google Search API, Vertex AI RAG Engine, and Gemini API.,FairPrice Group employees use Gemini Enterprise integrated with Google Workspace for faster information synthesis and custom agent development via no-code tools, automating workflows in HR, customer service, and marketing.,Campaign ad creation was accelerated by 10x and costs reduced by up to 100x using Imagen 4 and Veo 3 models on Vertex AI with the Gemini API.,The Group also deployed wellness assistants using the Gemini API and various vendor APIs to provide personalized health and nutrition advice in-store.

Wayfair leverages Google Cloud Gemini models and Gemini Enterprise Agent Platform to automate product catalog enrichment and enhance the home shopping experience.,They co-develop Google's Universal Commerce Protocol to enable seamless, secure AI-agent based commerce interactions across platforms.,The AI-powered Muse design tool and Discover tab improve personalized product discovery with photo-realistic room designs and natural language interaction.,Wayfair improved product cataloging speed by 67%, enabling faster onboarding and richer information for 30M+ products.

ContactPigeon developed a customer data platform for digital retailers to unify siloed customer data and enable real-time insights.,The platform uses Google BigQuery for scalable data warehousing and real-time analysis, integrated with Vertex AI, Gemini, and Looker for machine learning and visualization.,Retailers now generate customized reports in minutes versus days and use AI models for customer segmentation, churn prediction, and personalized marketing workflows.,AI-powered alerts notify retailers of customer engagement issues and opportunities to enable immediate action and improve conversion rates.,ContactPigeon is expanding to generative AI assistants using Gemini for automated campaign messaging, customer service chatbots, and AI shopping assistants.

Anker Innovations, a global smart hardware company, built an enterprise AI platform to apply generative AI across R&D, customer service, marketing, finance, and supply chain workflows.,The company deployed more than 300 AI agents and used AWS services to accelerate coding, improve customer support, and automate advertising operations at global scale.