MongoDB for Retail
Arm yourself with data to meet unprecedented challenges and constantly meet the demands of the omnipresent consumer.
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Application-Drive Analytics: In-App and Real-Time Insights for Retailers
Today’s consumers expect personalized digital shopping experiences that offer dynamic and relevant recommendations. Modern retail applications are defined by their ability to drive better customer experiences, surface insights, and take action directly within the application on live operational data, in real time.
RETAIL
The forcing function
It’s simple: Today’s unprecedented challenges have drastically accelerated transformation in the retail industry. To succeed and thrive as the economy recovers, retailers must master a true omnichannel consumer experience that integrates all online, social, and in-person interactions. To do this, they’ll need to analyze data in real time and develop applications at warp speed. And they’ll need to do it all securely, and at scale.
SOLUTIONS
Behind every successful customer transaction is an ocean of data
Catalog
Omni-channel product catalog and inventory management in real time, in the same data store, with informed recommendations.
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Single View
Omnichannel made easy: Sync what your customers see—whether on the web or in the store—across channels and with your back-end systems to create seamless, endless aisle shopping.
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Real-Time Analytics
Easily build and use rich customer profiles by using new types of data too complex for relational databases to handle, such as “social footprints.”
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Real-time Inventory and Supply Chain
Develop a holistic view of your businesses so you can support omnichannel initiatives, aggregate inventory updates, and act on trends in real time.
Payments
Respond to changing customer and merchant expectations with the agility enabled both by MongoDB’s JSON document model and flexible schemas.
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Retail Logistics: Personalization
Build out your in-store personalization engine with intelligent devices that recognize your customers and recommend merchandise based on detailed activity and purchase logs.
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RESOURCES
Retail resources
Looking to learn more about what MongoDB can do for retail?
Take a look at the below resources to find out more.
Take a look at the below resources to find out more.
On-Demand Webinars
White Papers
Solution Briefs
Blogs
Podcast
The Future of Ecommerce: Strategies for Modern Retail Customer Experiences
Learn what the emerging ecommerce trends across the industry mean for organizations and consumers, as well as how enterprises are escaping monolithic, siloed data structures along their modernization journey.
Omnichannel, Personalization and more for Retail
In the webinar we will walk you through the fundamental technologies for the various real-time use cases and their criticality for success in the retail industry.
Sainsbury’s Fireside Chat: The tech behind Feeding the Nation
Find out how Sainsbury’s is bringing digital, tech and data together like never before. By testing, experimenting and learning to think nimble.
NETS Group updates their payment services with MongoDB
Get an idea about the agility and speed to introduce MongoDB into your existing landscape as data as a service platform and accelerate change.
CUSTOMERS
Success stories in retail
Leading retailers around the world are tapping MongoDB to help them delight their customers—and adapt to the unpredictable.
Listen to 1-800-Flowers CTO, MongoDB's Chief Product Officer, and Google Cloud's Managing Director of Retail to learn how 1-800-Flowers embraced cloud technology to grow and transform its business through constant innovation. They transformed their ecommerce platform with hyper-personalized offerings, and can scale on demand at lightning speed during peak months.
Watch here →
One of the world’s largest ecommerce companies, OTTO slashed its site catalog update time from 12 hours to 15 minutes with MongoDB. Existing systems were slowing them down – loading new catalog updates for two million products often took all day. MongoDB helped shatter that metric with a MongoDB-powered catalog. OTTO now gets an edge with speed. It's fast to develop. Fast to load data. And fast to personalize a shopping experience for a great number of customers.
Read customer story →
Listen to 1-800-Flowers CTO, MongoDB's Chief Product Officer, and Google Cloud's Managing Director of Retail to learn how 1-800-Flowers embraced cloud technology to grow and transform its business through constant innovation. They transformed their ecommerce platform with hyper-personalized offerings, and can scale on demand at lightning speed during peak months.
Watch here →
One of the world’s largest ecommerce companies, OTTO slashed its site catalog update time from 12 hours to 15 minutes with MongoDB. Existing systems were slowing them down – loading new catalog updates for two million products often took all day. MongoDB helped shatter that metric with a MongoDB-powered catalog. OTTO now gets an edge with speed. It's fast to develop. Fast to load data. And fast to personalize a shopping experience for a great number of customers.
Read customer story →
Just days into the COVID-19 lockdown, Boxed made the news as one of the main ways in which people were buying essentials now that ordinary retail was closed or running low on essentials. With MongoDB Atlas, they were able to scale 30x to meet the needs of their customers.
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From its roots as a postage company in the pre-digital era, it has undergone an impressive digital transformation into a software-powered logistics company. MongoDB enables a centralized view of freight across facilities and provides access to this data in real-time with automation hardware.
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AO.com turned to MongoDB to build a single customer view. The ultimate goal was to deliver one source of truth for all customer data – to drive a host of new and enhanced applications and business processes. With MongoDB Atlas, AO.com has transformed their customer experiences by reducing the average call handling time by up to 40%, improved fraud detection lead time, and met the demands of GDPR.
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Vestiaire Collective has grown its e-commerce platform and community to more than 11 million members. This growth led to a huge increase in activity across the business. It was all data that the Vestiaire Collective’s engineering team had to store, manage, and analyse. To do this, the team required a modern database to set about building a microservices architecture. This was to manage the increasing product catalog, evolving shipping requirements, and much more.
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Founded in 2009, Rent The Runway (RTR) is disrupting the trillion-dollar fashion industry and is changing the way we get dressed by pioneering the Closet in the Cloud, the world’s first and largest shared designer closet. With a goal of automating the movement of goods to streamline processes, they have created automation-driven warehouse robotics with MongoDB Atlas.
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American Tire Distributors (ATD) is the largest replacement tire distributor in North America providing “tires at the speed of now” through more than 140 distribution centers serving 130,000 manufacturers and retailers across the U.S. and Canada. Their mission is to be known as the most customer-centric distributor the industry has ever seen. The turned to MongoDB to solve a universal problem: how to unleash the massive amounts of data locked up in legacy data stores on-premise
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Boots, an iconic British retailer with more than 2,200 stores, is pivoting to new digital channels so customers of all age groups can shop in the way they want. With MongoDB Atlas, Boots is able to bring together multiple sources of data and present it in a way that makes actionable insight possible.
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