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Unlock retail growth with a modern data foundation

Retailers with strong data strategies deliver 2x more revenue growth and 4x more profitability compared with their peers. Modernize your data foundation, and you unlock the hyper-personalized shopping experiences, omnichannel consistency, and operational intelligence your business needs to compete.

Turn your data into your biggest competitive advantage

You hold decades of transaction history, loyalty data, and first-party customer insight across e-commerce, in-store POS, and mobile channels. But when that data is locked in disconnected ERPs, legacy order management systems, and siloed CDPs, it won’t deliver modern retail experiences. By unifying and modernizing your data layer, you reduce infrastructure and licensing costs while building the AI-ready foundation your teams need to ship faster.

Migrate without disrupting live services

Move e-commerce platforms, catalog systems, and order management applications off legacy infrastructure incrementally, validating at every stage. Modernize up to 3x faster than traditional methods.

One platform for all your workloads

Product catalogs, customer profiles, real-time inventory, behavioral analytics, and vector search for AI all run on a single operational data platform. Reduce costs by up to 70% compared with maintaining separate relational databases.

3-5x faster development cycles

Your engineers can stop maintaining fragmented systems and reconciling data across platforms, and start building the loyalty features, marketplace integrations, and AI-driven services your product teams are asking for.

Build the hyper-personalized shopping experiences your customers already expect

"Easily find" now means AI-powered recommendations that anticipate what shoppers want before they search. "In stock" means predicted availability across all stores, warehouses, and fulfillment nodes. "Fast help" means an AI agent that resolves issues in seconds, with full context from every previous interaction. Today, 40% of retailers already use AI for customer service, and 38% cite improved customer satisfaction as their primary AI outcome.

Real-time personalization at scale

Serve hyper-personalized offers based on real-time behavioral analytics. Respond to browsing behavior, purchase history, and context in the moment, increasing basket size and driving repeat purchases.

Unified commerce across every channel

Recognize customers instantly whether they're browsing your e-commerce site, using your app, walking into a store, or contacting your call center. Studies show 79% of customers expect exactly this level of omnichannel consistency.

From AI pilot to production in weeks

Your AI applications query live operational data directly, with no replication delays. Conversational shopping assistants, visual product search, automated pre-filled baskets, and agentic customer service move from proof of concept to revenue faster.

Enhancing Retail Operations with AI and Vector Search

How leading retailers are using a modern data foundation to accelerate AI adoption, connect e-commerce and in-store channels, and build the operational agility that separates market leaders from the rest.

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How OTTO personalizes e-commerce for two million visitors a day

Germany's largest online retailer powers its e-commerce platform with MongoDB to deliver real-time, hyper-personalized offers for over two million daily visitors across a catalog of two million+ products.

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Bridging the Modernization Gap

What it takes to modernize at scale without disruption. A practical guide to closing the gap between legacy infrastructure and AI-ready applications.

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Generative AI and vector search in retail operations

From hyper-personalized marketing campaigns to intelligent stock management and demand sensing: How generative AI creates new operational capabilities for retailers with a modern data layer.

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Modernization is the foundation. What you build on it is the advantage.

The retailers scaling AI fastest didn't start with a better model. They started with a better data foundation.

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MongoDB for retail

MongoDB Atlas is the AI-ready operational data platform built for retail. From product catalogs and customer data platforms to real-time inventory and AI-powered search, your teams build, run, and scale retail applications faster, without compromising on security, compliance, or customer experience.

The future of retail is agentic. Are you ready?

By 2030, AI agents could handle 25% of global sales. Modernize your data foundation now to ensure your business is ready for the shift.

WHY MODERNIZE WITH MONGODB?

AI-ready data foundation
Real-time omnichannel scale
3-5x faster dev cycles
70% lower operational costs

Proven retail reliability