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Retail

MongoDB. The data foundation for AI‑ready retail.

Consolidate product, customer, and supply chain data on one flexible platform. Modernize legacy systems, reduce complexity, and build scalable, AI-driven retail experiences.

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Build AI-ready architectures

Build future-ready retail apps with practical data frameworks. Get a free sample of our e-book, “Architectures for the Intelligent AI-Ready Enterprise,” featuring 15+ retail case studies and 25+ proven use cases to modernize your storefront and supply chain.

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Transform retail with AI and data

Guide your retail transformation with MongoDB. Our flexible, scalable platform unlocks innovation in unified commerce, sustainability, and digitalization.

Deliver seamless omnichannel journeys

Eliminate channel silos with real-time visibility into inventory and customer profiles. MongoDB’s flexible document model creates a single, connected data layer. Power AI with low-latency data for dynamic pricing and personalized recommendations, ensuring consistent, data-driven shopping experiences.

Explore omnichannel ordering

Reduce churn with real-time AI

Stop losing customers to sluggish systems. Learn how to architect an AI-ready platform using MongoDB real-time behavioral triggers. Deploy instantaneous, hyper-personalized retention strategies that target at-risk users the moment they show signs of churn. Read our guide for builders looking to maximize customer lifetime value.

Unlock customer insights

Create intelligent, future-ready stores

Transform physical stores into tech-enabled hubs. MongoDB aggregates data from IoT, kiosks, and mobile to power smart ecosystems. Agentic AI can autonomously manage lighting, optimize inventory, and reconfigure layouts to maximize conversions and boost efficiency without compromising availability.

Boost retail retention

Modern retail innovation

Explore the capabilities powering modern retail experiences: Unified customer views, real-time inventory management, and personalized experiences built on MongoDB.

DATA FLEXIBILITY

Adapt your data to any retail need

Flexible document model

Model customer, product, and inventory data with a flexible document model that is foundational for AI and scales with every new retail use case.

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DEPLOYMENT

Deploy on-prem, cloud, or at the edge

Cloud and hybrid support

Run AI and transactional workloads where they deliver the most value. Support on-premises, cloud, and hybrid setups for modernization and intelligence.

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MULTI-CLOUD

Run your retail platform everywhere

Consistent global functionality

Optimize performance, manage costs, and meet data residency requirements seamlessly across all major cloud providers.

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SCALABILITY

Scale for peak season, no downtime

Right-size resources flexibly

Seamless horizontal scaling handles high-volume transactions and AI workloads, ensuring peak seasonal performance with no downtime.

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SEARCH & AI

Power intelligent discovery and AI

Vector and full-text search

MongoDB Search and Vector Search enable semantic search and generative AI on operational data. Fuel autonomous systems with real-time context.

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SECURITY

Trusted security and compliance

Enterprise-grade governance

Protect sensitive retail data with built-in security, governance, and compliance. Encryption and role-based access support AI governance.

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Unify data to drive retail growth

Build personalized discovery, omnichannel experiences, and turn receipts into a powerful new growth engine, all powered by one unified platform.

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RFID: Real-time product tracking

Achieve real-time inventory tracking, improved accuracy, and data-driven supply chain insights with RFID and MongoDB Atlas.

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Modernizing Retail with RFID Product Tracking, Powered by MongoDB

Personalize discovery. Amplify your brand.

Align customer intent with brand goals in real time. Advanced search and AI-driven recommendations deliver purposeful, personalized product discovery, raising visibility and engagement.

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Build fast, reliable omnichannel ordering

Leverage real-time updates via Change Streams and Triggers to eliminate channel silos. Deliver seamless “buy online, pick up in store” (BOPIS), home delivery, and real-time inventory visibility.

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Turn receipts into a real-time growth engine

Use the flexible document model to centralize complex receipt data. Fuel AI-powered product recommendations and real-time insights that connect in-store and online customer journeys.

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MongoDB retail use cases

See how leading retailers are building and scaling innovative applications—from personalization and real-time inventory to unified customer experiences—using MongoDB.

Redefine Airline Loyalty: Innovation for the Modern Traveler

Unify data to power real-time personalization and build dynamic ecosystems for the modern traveler with MongoDB’s flexible data platform.

Power real-time rewards

Boosting Customer Retention with MongoDB

Detect shopper hesitation and trigger real-time interventions with MongoDB. Build AI-powered retention workflows that turn intent into conversion.

Predict returns using AI

How Rierino Scales AI-Native Low-Code with MongoDB

Unify data to power real-time personalization and build dynamic ecosystems for the modern traveler with MongoDB’s flexible data platform.

Build resilient AI agents

Hear from our customers

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90%reduction in number of disks provisioned

80%reduction in disk hydration time for caching

MODERNIZATION

“MongoDB and everything that comes with it was great. On MongoDB, we could automate our deployments and scalability monitoring, and we had advanced features like search, charts, and an online vector store that didn’t exist in the CouchDB ecosystem.”

Hemanth Kumar Vemula
Lead Platform Engineer, Victoria’s Secret

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90%reduction in number of disks provisioned

80%reduction in disk hydration time for caching

MODERNIZATION

Hemanth Kumar Vemula
Lead Platform Engineer, Victoria’s Secret

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99%reduction in stock update time

55%same-day online order fulfillment

PERSONALIZATION/MODERNIZATION

“We selected MongoDB Atlas due to its high performance, predictability, and flexibility. MongoDB was consistently able to adapt to our rapid pace of growth, allowing us to release features faster, without any downtime.”

Rohan Berry
Technology Director—Fulfillment, Woolworths

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67%decrease in processing time

100%uptime

ANALYTICS/AI

“MongoDB Atlas is fantastic because it provides the whole set of infrastructure, which we don’t have to take care of, so we can focus on our solutions and innovations.”

Larry Steinberg
CTO, Rent the Runway

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60countries serviced

PERSONALIZATION/ANALYTICS

“With MongoDB, we’ve built a system where even during node failures, operations continue almost unnoticed.”

Cyril Gambis
Lead Architect, Decathlon

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6Mconnected IoT appliances supported

INTERNET OF THINGS

“MongoDB Atlas reduces development overheads up to three times compared to our previous approach. Code reviews are five times faster, and it’s easy and fun for new starters.”

Daniele Autizi
Head of Engineering, D2C Personal Sales Team, Electrolux

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The partners and platform for innovation

Unlock growth with MongoDB partners

Turn bold ideas into business value. MongoDB partners deliver integrated solutions and expert guidance to help you innovate faster and scale smarter.

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Build AI you can trust. Build AI that scales.

Rigid legacy systems weren't built for AI. They create friction, drain budgets, and block innovation. Stop integrating. Start innovating.

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FAQs: Modern retail data infrastructure

Most retailers struggle with data trapped in legacy ERPs, CRMs, and POS systems. MongoDB’s document model allows you to ingest diverse data formats into a single, unified data layer, creating a 360-degree view of customers and inventory without complex ETL processes.

Yes. MongoDB Atlas is a multi-cloud developer data platform that supports transactional (ACID-compliant) workloads, real-time analytics, and AI-driven search (Vector Search) in a single interface, reducing the need for sprawling, expensive point solutions.

MongoDB Vector Search allows you to store and query high-dimensional embeddings directly alongside your operational data. This enables real-time AI features like semantic product search, personalized recommendations, and agentic AI for supply chain optimization.

MongoDB Vector Search Use Cases & Design Patterns

Agentic AI refers to systems that can autonomously make decisions based on real-time data. For example, an agentic system on MongoDB can monitor inventory levels and environmental sensors to autonomously adjust shipping routes or store lighting to optimize costs and sustainability.

Building AI Agents with MongoDB

MongoDB is built for horizontal scaling. Through sharding and automated elastic scaling, Atlas can handle massive surges in transactional volume and concurrent users without downtime, ensuring your storefront stays performant during your highest-revenue periods.

Yes. By using Change Streams, MongoDB can trigger real-time updates across your entire ecosystem the moment a sale is made or a shipment is received, ensuring that "available to promise" (ATP) counts are accurate across web, mobile, and physical stores.

MongoDB offers a variety of connectors for major retail ecosystems (like SAP, Oracle, and Salesforce) and supports event-driven architectures via Kafka or RabbitMQ, allowing you to modernize incrementally without a "rip-and-replace" approach.

MongoDB provides enterprise-grade security features, including Queryable Encryption (which keeps data encrypted even while being searched), role-based access control (RBAC), and compliance with global standards like PCI-DSS, SOC2, and GDPR.

Yes. MongoDB Atlas is available on AWS, Azure, and Google Cloud. You can even deploy a single cluster across multiple cloud providers to ensure maximum availability and avoid vendor lock-in.

Build the AI-ready retail enterprise

Move beyond static automation. Leverage MongoDB Atlas to power agentic AI that autonomously optimizes inventory and personalizes shopper journeys.

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A FOUNDATION FOR ADAPTATION:

No vendor lock-in
Cross-cloud data freedom
Zero upfront commitment
Seamless cloud migration

Secure by default

MongoDB. The data foundation for AI‑ready retail.

Build AI-ready architectures