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  • abof Case Study

    Running its infrastructure in AWS has enabled abof to achieve 99.999 percent availability and an average page loading time of 1.5 seconds, while obtaining the agility needed to thrive in the competitive online fashion industry in India. abof is Indian conglomerate Aditya Birla Group’s initial venture into e-commerce; the business provides apparel, footwear, and accessories for men and women. The business is using Amazon EC2 to run IBM WebSphere Commerce Suite and an IBM DB2 database, Amazon S3 to store website images and video, Amazon RDS to run a MySQL database supporting an in-house developed logistics system, and Amazon CloudFront to deliver content to users across India and internationally. 

  • Amazon.com Case Study

    Amazon.com is the world’s largest online retailer. In 2011, Amazon.com switched from tape backup to using cloud-based Amazon S3 for backing up the majority of its Oracle databases. By using AWS, Amazon.com was able to eliminate backup software and experienced a 12X performance improvement, reducing restore time from around 15 hours to 2.5 hours in select scenarios.

  • Amway Case Study

    Using AWS IoT and AWS Professional Services, Amway designed and implemented an IoT solution and launched its first Internet-connected product in less than 14 months. Amway offers more than 450 products and operates in more than 100 countries and territories globally. The company is one of the first to use the new Just-in-Time certificate registration for AWS IoT, a process that automatically registers device certificates as part of the initial communication between a device and AWS IoT.

  • Artfinder Case Study

    Artfinder can match its customers with art they will love thanks to recommendation tools built on AWS. The company is an online art marketplace, allowing thousands of artists to sell directly to buyers. It runs its website and recommendation tools using AWS technologies such as Amazon EC2, Amazon Machine Learning, Amazon Rekognition, and Amazon Kinesis Firehose.

  • AWS Case Study: 2C2P

    Founded in 2003, 2C2P is the leading payments company in Southeast Asia, providing a number of comprehensive, technology-driven, and omnichannel payment services for Asian and international businesses. 2C2P is running its payment systems, database and associated compliance, and other systems in AWS. This has enabled 2C2P to improve availability to 99.999 percent, while supporting tens of thousands of transactions per day.

  • AWS Case Study: Arena Flowers

    Arena Flowers is an online florist and gift retailer that serves Europe and the US. The company decided to go all-in on AWS and uses the platform to host its website, order and stock management systems, and fulfillment applications. Now, the florist saves 30% on hosting costs and can scale to expand with massive sales surges on days like Valentines Day.

  • AWS Case Study: B!Cash

    Brazilian company B!cash migrated its online money transfer platform from a traditional data center to AWS after experiencing scalability issues on Black Friday 2012. The company uses AWS to process payments between buyers and sellers on a PCI-compliant platform, scaling to support more than 40,000 merchants and 7 million active users.

  • AWS Case Study: Belkin

    Belkin, a retail consumer electronics company based in California, uses AWS to launch products quickly and provide reliable, flexible service to its users.

  • AWS Case Study: Brooks Brothers

    Brooks Brothers is a leading US retailer of fashion wear and accessories. The company is running key business-critical SAP applications powered by HANA on AWS. Now, the organization can use AWS to launch and test new SAP software based retail projects in hours instead of weeks, save thousands on hardware costs, and focus more on new initiatives that drive revenue.

  • AWS Case Study: Casa & Video

    Casa & Video is one of Brazil's largest providers of electronics and home products, its infrastructure must be versatile enough to handle large traffic spikes during the holiday shopping season, while also supporting an immense inventory and supply chain. Today, Casa & Video's ecommerce platform incorporates Amazon EC2, Amazon EBS, Amazon S3, Amazon EC2 Elastic IP Addresses, and Amazon CloudWatch to optimize performance. 

  • AWS Case Study: Cenique

    Cenique’s shopper-insight and digital-signage solutions provide retailers across the globe with an easy way to analyze in-store customer behavior and optimize marketing strategies accordingly. The company migrated its analytics platform to AWS after experiencing frequent downtime with on-premises servers. By moving to AWS, Cenique has reduced its operating costs by 60 percent and scaled to support a tenfold increase in customers.

  • AWS Case Study: ClicThat

    ClicThat is a UK-based e-commerce company that offers a collaborative online auction platform to businesses and consumers. When it was ready to launch, the company turned to AWS to run its platform to ensure that it would scale with user demand. By moving its infrastructure to AWS, the company reduced its cost by 70% over traditional hardware-based infrastructures.

  • AWS Case Study: Convertale

    Convertale helps its customers get an edge in the e-commerce space through product recommendations based on analysis of online shoppers’ behavior. Its real-time, plug-and-play recommendation engine runs on Amazon Web Services. Using AWS, the firm gained a scalable environment in which to test and run its solution, and it now processes more than half a billion user behaviors a month for its e-commerce clients.

  • AWS Case Study: DXL

    Destination XL (DXL) is the largest specialty retailer of big and tall men’s apparel in the United States, operating more than 200 retail and outlet stores that carry more than 2,000 private label and name-brand styles. The company was looking for a platform that would allow it to extend its in-store customer experience to online shoppers, and chose AWS.

  • AWS Case Study: Eataly

    Eataly is a provider of Italian food, beverages, restaurants, and other products and services. It uses AWS for a wide range of business functions, including running its website and e-commerce platform, providing data storage, communicating with a mobile app, and for business analytics. By using AWS, Eataly has been able to expand globally while scaling to support hundreds of thousands of users and millions of page views every month.

  • AWS Case Study: Euclid

    Euclid, based in Palo Alto, CA, collects and analyzes data to help brick-and-mortar retailers optimize their businesses. By running on AWS, Euclid can run complex queries on tens of terabytes of data in only two hours while reducing costs by nearly 90%.

  • AWS Case Study: Gilt

    Using AWS Gilt can keep its customers’ data safe with virtual private networks, security groups, and other features supporting security, while expediting software deployments and updates with AWS CodeDeploy. Gilt is an online website that provides insider access to top fashion brands at deeply discounted prices. The company moved from an on-premises data center to AWS to leverage the speed and efficiency of a cloud-based microservices infrastructure.

  • AWS Case Study: Imperia & Monferrina

    When Italian pasta-machine manufacturers Imperia and Monferrina merged in 2010, they used AWS to host Oracle eBusiness Suite as a single ERP solution for the two organizations. By not investing in traditional infrastructure, the company reduced their capital expenditure by 50%.

  • AWS Case Study: Infor

    Infor is one of the world's leading providers of enterprise software solutions, offering SaaS solutions to more than 70,000 global customers. The company leverages the flexibility of Amazon Web Services to give customers a subscription-based delivery model that significantly reduces their upfront capital expenditures.

  • AWS Case Study: Instacart

    Instacart allows people to order groceries online by connecting them with personal shoppers who hand pick items at the customers' favorite local stores and deliver them straight to their doors. Instacart uses AWS CodeDeploy to automate deployment operations for all of its front-end and back-end services. Using AWS CodeDeploy has enabled Instacart’s developers to focus on their product and worry less about deployment operations.

  • AWS Case Study: Interflora

    Interflora Spain is a business unit of Fleurop-Interflor, the Swiss-based company that operates a floral delivery network doing business in 150 countries. Interflora Spain uses AWS to run its customer-facing e-commerce platform and backend systems, including its Microsoft Dynamics ERP system and big data, business intelligence, and data backup projects. By using AWS, the company can handle seasonal spikes in orders, can quickly and easily update its e-commerce platform, and has made internal business processes more efficient.

  • AWS Case Study: iTrueMart

    iTrueMart is a leading online retailer in Thailand. The company turned to AWS to run its e-commerce website and to support traffic generated by more than 1.6 million users. By using AWS, the company is more agile in adding new features and functions to the site and can provision new IT resources in minutes instead of hours.

  • AWS Case Study: Ividata

    Fast-growing startup Ividata launched an innovative big-data product, Ivizone, which allows retailers to measure customer metrics and maximize marketing efforts. In 2014, it migrated its retail analytics tool to Amazon Web Services. Ividata now has a scalable, agile platform, and its monthly data-storage bill is 1000 times smaller than with its previous solution.

  • AWS Case Study: Kurt Geiger

    Kurt Geiger is a retailer for high-end shoes and accessories. After migrating its websites to AWS, the company was able to scale to handle a 400% increase in page views, driving twice as many transactions during peak periods.

  • AWS Case Study: LightInTheBox

    LightInTheBox (LITB) is a supply chain service with B2C retail service, serving more than 1 million customers a day from more than 200 countries. LITB, facing rapid business growth and IT resource constraints, uses AWS to run its business operations and store product and transactional data.

  • AWS Case Study: Loyalty New Zealand

    Using AWS has enabled Loyalty New Zealand to save hundreds of thousands of dollars in initial capital costs for a physical infrastructure, reduce the time to provision infrastructure resources from more than three months to 15 minutes, and establish a resilient, dynamic platform for future rewards program development. Loyalty New Zealand, which operates out of Wellington and Auckland, owns and runs Fly Buys, New Zealand’s largest rewards program with more than 2.4 million customers. It also owns Lab360, a full-service data and analytics business. Fly Buys New Zealand is running on LoyaltyCloud—an internally developed multi-program, multi-currency loyalty platform—in an AWS infrastructure.

  • AWS Case Study: Merrifield Garden Center

    AWS Consulting Providers, Protera Technologies and Savantis Group, helped Merrifield Garden Center use SAP on the AWS Cloud to reduce costs, improve the stability and security of their applications and data, and eliminate the burden of managing IT infrastructure hardware so they can focus on new customer-facing initiatives to grow their business.

  • AWS Case Study: Millésima

    Millésima, a French fine wine merchant, decided to diversify its offering by opening an on-line store in 1999. To support their customers’ online purchasing habits, Millésima migrated its ecommerce activities into the AWS Cloud. With the pay-as-you-go pricing model, and flexible, scalable infrastructure, Millésima has been able to reduce complexity, and scale at traffic spikes during peak online buying periods.

  • AWS Case Study: MyDress

    MyDress enables fashion labels in Japan, Korea, and Taiwan to sell clothes and accessories to customers in Hong Kong. MyDress runs a Magento e-commerce platform and associated systems on AWS rather than having to invest in a physical datacenter. Using AWS, the company can support an average growth rate of 70 percent per year and marketing campaigns that can increase traffic by up to 100 percent, while reducing operating expenditure by 20 percent per year over two years.

  • AWS Case Study: Nisa Retail

    Nisa Retail is a member-owned, supply-chain service for independent food retailers based in the UK. Wanting to provide members with a mobile app, Nisa worked with APN partner, Intechnica, to develop the app on the AWS Cloud, reducing time to market by nearly 4 months and connecting the app to mission-critical systems without disruption.

  • AWS Case Study: Nordstrom

    Nordstrom, a Seattle-based fashion retailer, strives to provide excellent customer service to its shoppers. The company is using AWS to run its websites, mobile application, security management tools, ecommerce platform, and internal development tools. Using AWS and leveraging services such as AWS Lambda, the company also built a new recommendations engine that processes requests in seconds instead of minutes, and has experienced two order of magnitude of cost savings.

  • AWS Case Study: Ocado

    Ocado, the worlds’ largest online grocery retailer, is using AWS to power its Smart Platform – bringing its disruptive, tech-driven business model to bricks-and-mortar retailers worldwide. Moving to AWS has made experimenting with new innovations much faster and far more cost-effective, helping Ocado developers get ideas from conception to production in under an hour. AWS also enables Ocado to integrate data from hundreds of microservices into a data lake that powers AI capabilities across the infrastructure.

  • AWS Case Study: Omise

    Omise provides payment gateway services to merchants, including application programming interfaces and developer resources. The company runs its payment gateway services in an Amazon Web Services infrastructure that is compliant with the Payment Card Industry Data Security Standard. This has enabled Omise to scale to support demand peaks of more than 1,000 transactions per minute, deliver its services for one-third the cost of doing so from a physical data center, and achieve 99.99 percent availability.

  • AWS Case Study: PayGate

    PayGate is one of the leading payment processing companies in southern Africa, and a pioneer in online payment services in the region. PayGate used Amazon Web Services to set up a secure payment processing gateway based within the European Union for one of its longstanding customers. In doing so, it saved around one million South African Rand (US$75,000) and gained a flexible platform to conduct proofs of concept for future cloud projects.

  • AWS Case Study: Rangespan

    Rangespan provides retailers with supplier management and market data, enabling retailers to select new products analytically and launch them easily. The company needed a way to expand its business and cost-effectively serve its customers during peak order periods. Rangespan uses AWS to run its website, provide data analysis to retailers, and build, validate, and store its 2 TB product catalog.

  • AWS Case Study: Redlily

    Redlily is an online retailer offering a variety of products, including designer apparel, stationery, shoes, baby accessories, toys, and games in India. The company migrated its Microsoft NAV enterprise resource planning system to AWS. After doing so, Redlily reduced its IT capital and operational expenses by 70 percent and increased its ERP website uptime from 80 to 99 percent over a three-year period.

  • AWS Case Study: RedMart

    RedMart is a Singapore-based online supermarket that operates its own fulfillment center and delivery vans. RedMart moved its website platform and fulfillment center software to AWS from a physical infrastructure that was inadequate for supporting the company’s growth. Using AWS, RedMart can now support 12 percent month over month growth in traffic, and its website runs five times faster but costs 60 percent less to support.

  • AWS Case Study: River Island

    Founded in 1948, River Island is a leading UK high street fashion brand with 300 stores and a thriving digital business. Watch Doug Gardner, CIO at River Island, discuss how AWS allows the company to innovate at speed and scale its systems to handle major demand peaks on Black Friday.

  • AWS Case Study: SAP

    SAP is a leading provider of enterprise software, handling 60% of the world’s GDP. Amazon Web Services customers can deploy the full range of SAP software in the AWS Cloud to solve business problems without worrying about infrastructure.

  • AWS Case Study: Shop Direct

    When UK retailer Shop Direct needed to increase its website availability, the company moved its e-commerce platform to AWS. As a result, Shop Direct was able to handle record Black Friday orders of nearly 10,000 orders/hour.

  • AWS Case Study: Shutl

    Shutl, a United Kingdom start-up, helps retailers offer deliveries in ninety minutes or within a specified one hour timeframe. The Shutl web service API is built on an AWS infrastructure that includes Amazon EC2, Amazon EBS and Amazon Elastic IP. Shutl chose AWS as its cloud services provider based on cost-effectiveness and flexibility, as well as the strong reputation and ability of AWS to meet European Union privacy regulations.

  • AWS Case Study: SK Planet

    SK Planet provides e-commerce, messaging, and location-based services to consumers. By using AWS, the company was able to expand globally with new data center operations that take just one or two days to establish—compared to as much as three months in the past—and has reduced related costs by up to 50 percent.

  • AWS Case Study: SportPursuit.com

    SportPursuit.com, based in the U.K., offers flash sales on sporting goods to more than 1 million members in 40 countries. With huge spikes in site visitors during concentrated parts of the day, SportPursuit needs a website that enables swift, highly available service to its customers. By using AWS, the company can spin up instances in minutes rather than days, providing fast service to its customers.

  • AWS Case Study: TellApart

    TellApart provides marketing tools that help online retailers identify their best customers and prospects and send individualized marketing messages to those customers. The company's world-class engineering team has built a real-time ad bidding engine that leverages a suite of AWS products.

  • AWS Case Study: Tictail

    Tictail is a Swedish startup offering a platform that makes it simple for anyone to set up and expand an online store. Tictail runs its entire infrastructure, including its e-commerce platform, on Amazon Web Services. Using AWS, it has scaled to support 100,000 stores with more than two million products and can roll out up to 25 features a day.

  • AWS Case Study: Zalora

    ZALORA is an online fashion retailer in South East Asia. ZALORA’s technology stack runs fully on the AWS Cloud since 2016. This has enabled ZALORA to bring new products to market three times faster than in a previous hosted data center environment, increase capacity by 300 percent during peak sales periods, and operate with less than 150 engineers supporting more than 1,500 employees.

  • Brault and Martineau Case Study

    Brault & Martineau ensures high availability for its e-commerce website, scales to meet growth, and improves its online shopping experience using AWS. The company is a furniture retailer with stores located throughout Quebec and a growing e-commerce presence. Brault & Martineau migrated its e-commerce platform to the AWS Cloud with help from AWS APN partner ExoSource.

  • Chai Point Case Study

    Using AWS has enabled Chai Point to avoid any outages that would affect a range of business-critical systems, including a cloud-based ERP system that integrates billing and supply chain activities and enables real-time monitoring of Chai Point retail stores. Founded in 2010, Chai Point is India’s largest organized chai retailer with about 100 retail stores. The business uses a range of AWS services running in an Amazon Virtual Private Cloud to deliver its applications.  

  • Chumbak India Case Study

    By using AWS, Chumbak focuses 100 percent of its IT resources on development, releasing new code for its web store every day. Chumbak sells its own designs for apparel, home décor, and consumer-life style goods via its web store and multiple stores across India. It ensures web store visitors can find and buy the products they want easily regardless of traffic numbers thanks to a back-end infrastructure running on Amazon EC2 instances with Auto Scaling, an Amazon S3 data repository, and Amazon Kinesis to capture and process web-store clickstreams in real time. 

  • CM Data Case Study

    Using AWS, CM Data has built a core business system to handle a range of data processing functions including collection, cleaning, analysis, and display. While bringing outstanding performance and user experience to customer-facing solutions, the system also fully supports business development and innovation and helps improve efficiency and cost structure. As a rising star in the new retail industry, CM Data provides timely and precise data management and analysis services to traditional supermarket chains, convenience stores, and other retail industry customers. Its business model and data processing needs demand a robust IT infrastructure as well as a high-performance and highly stable, available and secure core system. CM Data now runs its entire core business system on the AWS cloud platform, using Amazon EC2, Amazon S3, AWS Lambda, Amazon Elastic Container Service, Amazon DynamoDB, Amazon Redshift, and Amazon EMR.

  • Custora Case Study

    Custora reduced its operational burden, eliminated downtime, and increased the speed of onboarding new customers by shifting client data to Amazon EFS. Custora is an advanced customer-segmentation platform built for retail, enabling marketing and CRM teams to easily create targeted customer lists to improve ROI for email, display ads, Facebook, and direct-mail campaigns. Custora uses Amazon EC2 for ingestion and analysis of large data sets, and Amazon EFS storage for its data-ingestion and analytics pipelines.

  • Daniel Wellington Case Study

    Daniel Wellington re-architects its Amazon Web Services (AWS) environment with microservices for improved scalability and lower cost. The Swedish company designs and sells watches and accessories based on classic, minimalist designs. It uses services including AWS Lambda, Amazon Kinesis, and Amazon Cognito.

  • Digital Foodie Case Study

    Using AWS, Digital Foodie helps retailers satisfy the growing demand for online grocery shopping, while reducing infrastructure costs by up to 30 percent. Its customizable e-commerce platform enables retailers to sell products online and operate services such as click-and-collect, home delivery, and drop shipping. Digital Foodie has created a scalable, reliable architecture using services such as Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing and Amazon Relational Database Service (Amazon RDS).

  • DoHome Case Study

    DoHome operates as a retail and wholesale store, carrying a wide variety of construction materials, home improvements and home decorations products across Thailand. The company had first deployed their eCommerce system on AWS, enjoying a secured and scalable environment, and server runtime of 24/7 before deciding to move their SAP S/4 HANA system on AWS. Utilizing services such as Amazon S3, Amazon EC2, Amazon RDS, Amazon VPC and the best practices have helped reduce DoHome's go-to-market time and improved availability to better serve their customers.

  • Easy Pay Case Study

    After migrating to the AWS Cloud, Easy Pay reduced transaction times for retail payment services from 12 to 5 seconds, eliminated system downtime, and was able to handle spikes in traffic up to 10 times the average transaction volume. The company offers an easy to use aggregation platform for small retailers in India with point-of-sale machines that facilitates various retail & financial services. It uses Amazon EC2 instances for the retail financial services portal and Amazon RDS for a highly scalable and secure data depository. Easy Pay also uses Amazon CloudTrail and Trusted Advisor for securing its infrastructure.

  • Edmunds.com - Macie Case Study

    Edmunds uses Amazon Macie to gain better visibility into data, and identify access violations more effectively. Edmunds is a leading network for car shopping and information, helping millions of shoppers every month find their perfect car. The company uses Amazon Macie to get visibility into data stored on Amazon S3 and to classify data usage.

  • Edmunds.com Case Study

    Through its use of AWS, Edmunds.com has developed a highly scalable infrastructure for its entire technology stack while significantly reducing its operating costs. The company operates a car-buying website that is visited by 20 million people each month. Edmunds.com hosts its website and back-end systems on AWS, employs Amazon Redshift as its data warehouse, and uses AWS CodeCommit as its source control service.  

  • entradas.com Case Study

    Using AWS, online ticket sales firm entradas.com can handle 50 percent more traffic compared to its previous on-premises environment, enabling it to expand its presence, especially in the sporting events segment. The company was one of the first e-commerce companies in Spain, selling movie, theater, music, and sporting events tickets through its online platform. It uses Auto Scaling with Amazon EC2 to scale dynamically and managed services such as Amazon RDS to lower its maintenance burden so it can devote its resources to core work.

  • eVitamins Case Study

    Using AWS WAF, eVitamins automated its website security, reducing IT overhead, application-layer attacks, and incident-response time each by 90 percent. A health and beauty ecommerce retailer, eVitamins carries more than 25,000 products and ships to 85 countries worldwide. The company uses services that are part of the AWS WAF Security Automations solution, including Amazon CloudFront for content delivery, Amazon CloudWatch for tracking metrics and triggering alerts, and AWS Lambda for API automations.

  • Fanatics Case Study

    Fanatics uses the AWS Cloud to get real-time insights into customer behavior and buying patterns, to quickly analyze 100 terabytes of analytical data from multiple sources, and to reduce operational costs. Based in Florida, the company is a leading online retailer of licensed sports apparel and merchandise. Fanatics runs a cloud data lake for analytics based on AWS and the Attunity CloudBeam data ingestion and migration solution. 

  • Graze Case Study

    Graze continually improves its customers’ experience by staying agile—including in its infrastructure. The company sells healthy snacks through its website and via U.K. retailers. It runs all its infrastructure on AWS, including its customer-facing websites and all its internal systems from the factory floor to business intelligence. 

  • Grupanya Case Study

    Using AWS, Grupanya can more easily handle double the traffic during busy periods. It’s one of the largest e-commerce platforms in Turkey, offering its customers group discounts on big brands. The company runs its websites and apps on AWS, using services including Amazon EC2 and Amazon DynamoDB.

  • HelloFresh Case Study

    HelloFresh, the leading company worldwide in meal-kit delivery, sends boxes loaded with delicious ingredients and matching recipes straight to your doorstep. Founded in Berlin, the company quickly expanded internationally and currently serves over one million households in eight countries. For further developing it's IT sector, HelloFresh was looking for a best in class partner that is similarly flexible and efficient. As a result, in December 2014, HelloFresh partnered with AWS and incorporated services like Amazon Cloudfront, EC2, RDS and Route 53 into its business operations. These services improve operational efficiency, facilitate global collaboration among employees and allow HelloFresh to better serve its customers worldwide by reducing package delivery times.

     

  • Herd Case Study

    Using Amazon DynamoDB, Amazon.com lowered workflow-execution overhead by 90 percent, decommissioned hundreds of Oracle hosts, and reduced time needed to scale for large events by 90 percent. Amazon’s internal workflow-orchestration engine—known as Herd—powers the business logic for processing worldwide Amazon.com customer orders. The Amazon Herd team moved its system from Oracle to Amazon DynamoDB.

  • iRobot Case Study

    Using the AWS Cloud, iRobot can offer internet-connected Roomba robotic vacuums on a global scale. By helping its customers with everyday chores, the company gives them more time for what’s most important. iRobot connects to its Roomba vacuums using AWS Lambda, Amazon Kinesis, and AWS IoT in a serverless architecture.

  • Jumplife Case Study

    By using AWS, Taiwan-based Jumplife supports a 150 percent increase in visitors to its e-commerce platform and achieves a five-time increase in performance on its database service. Jumplife operates Gamadian—an app-based virtual shopping mall dedicated to snack foods. The company built the e-commerce platform behind Gamadian with Amazon EC2 instances supporting web and application services, Amazon RDS for Aurora delivering additional database performance, and Amazon S3 providing a repository for product images.

  • Made.com Case Study

    Made.com migrated to AWS to support a record-breaking sales period with no downtime. The company provides a website that links home-furnishings designers directly to consumers. It now runs its e-commerce platform, website, and customer-facing applications on AWS, using services such as Amazon EC2, Amazon RDS, and Auto Scaling groups. 

  • MAGASeek Case Study

    By using AWS Database Migration Service to migrate from an on-premesis Oracle RAC environment to Amazon Aurora, MAGASeek Corporation saw performance for some batch jobs triple, and was able to complete the migration with a team of only two people. MAGASeek Corporation runs a fashion e-commerce website as well as an e-commerce solutions business for apparel makers that offers e-commerce site support for every stage from construction to operation. By using Amazon Aurora, Amazon EC2, Amazon S3, Amazon Route 53, and Amazon CloudWatch, the company also reduced its operational burden, freeing up more time for information-gathering and system optimization.

  • Manthan Case Study

    Manthan reduces deployment times from months to days by delivering its retail analytics and business intelligence solutions from the AWS Cloud. Manthan delivers software-as-a-service (SaaS) business intelligence and analytics solutions to retail and consumer businesses across the world. The SaaS platform uses AWS services including Amazon EC2 for compute, Amazon Kinesis for processing big data, and Alexa Voice Service for voice-activated business insight.

  • Mercado Libre Case Study

    Mercado Libre is an e-commerce retailer based in Latin America. It operates in 16 countries and has 3,200 employees, 800 of which work in the IT division. The company needed a technological solution that did not hamper its developers and that could be adapted to existing tools, freeing up time to focus on creating and developing top products for customers. It now uses several AWS products including Amazon S3, Amazon EMR, Amazon Redshift for big data, and AWS Lambda, which, along with Amazon Kinesis, enables the development of real-time solutions quickly and easily.

  • Modacruz Case Study

    By using AWS, Modacruz can handle spikes in traffic of 20,000 users in 30 minutes, while increasing server capacity by 150 percent. The startup’s customers can purchase second-hand designer clothing at affordable prices through its website and mobile app. Modacruz uses AWS Elastic Beanstalk to deploy apps across a multi-language development environment and Amazon Redshift to collect and manage its user data.

  • Nicobar Case Study

    Nicobar increased the availability of its Microsoft Dynamics NAV environment to 99.99 percent by migrating from Microsoft Azure to AWS. Nicobar is a lifestyle brand selling clothing, home, and travel products through multiple sales channels. The Microsoft Dynamics NAV environment supporting Nicobar now runs on Amazon EC2 instances, and the company uses Amazon RDS as its application database and AWS Lambda to automate the management of the environment’s compute resources.

  • Pacific Inter-Link Case Study

    Pacific Inter-Link, one of the leading MME (Manufacturer – Marketer – Exporter) organisations in Malaysia, has a global workforce of nearly 7,000 and is primarily focused on the export of commodities, consumer goods and services from Malaysia and the Far East to Global Markets. Using AWS for its deployment of SAP workloads, Pacific Inter-Link has enjoyed a significant reduction in infrastructure spend together with quicker deployments and automation improvements for their daily workloads. In addition, using AWS services such as AWS CloudTrail, Amazon CloudWatch and AWS Lambda have resulted in excellent utilization of AWS infrastructure and substantial savings which is expected to accrue over the next 3 years. 

  • PayFort Case Study

    PayFort delivers trusted, highly secure services to its customers by using AWS’s Payment Card Industry Data Security Standard (PCI DSS) compliance credentials. The startup provides its payment solutions to organizations across the Middle East, giving customers an easy way to conduct online transactions. It uses services such as Amazon EC2 and Amazon RDS within an Amazon VPC to run FORT, its online payments gateway.

  • Rent-A-Center Case Study

    Rent-A-Center (RAC) uses AWS to manage its new e-commerce website, scale to support a 1,000 percent spike in site traffic, and enable a DevOps approach. RAC is a leading renter of furniture, appliances, and electronics to customers in the United States, Canada, Puerto Rico, and Mexico. The company runs its e-commerce website on the AWS Cloud.

  • Royal FloraHolland Case Study

    Royal FloraHolland processes billions of sales each year by running its SAP environment on the AWS Cloud. Royal FloraHolland is a flower-growers’ cooperative and auction company in the Netherlands with an annual revenue of €4.6 billion. It runs SAP S/4HANA for its financial accounting and reporting using Amazon EC2 instances, Amazon S3 for storage, and Amazon VPC to help secure sensitive financial data.

  • Royale International Group Case Study

    Royale International Group achieved 300 percent growth in the first six months of its new courier service to Hong Kong-based 7-Eleven stores—popular collection points for online purchases—through the scalability and simplified management of AWS. Royale International Group offers express delivery services to businesses worldwide. The company is taking advantage of the Amazon API Gateway service to ensure 7-Eleven store managers, online merchants, and couriers have the latest information on their shipments. The company also uses a range of AWS services such as Amazon EC2 for compute, Amazon DynamoDB for database services, and AWS Lambda to increase operational efficiency.

  • Thrive Market Case Study

    By using AWS services and analytic solutions available on the AWS Marketplace, Thrive Market deployed a highly scalable platform that helped the company go from zero to $100 million in revenues in 14 months while obtaining a 360-degree view of their customers. Thrive Market is an online startup that sells organic food and beauty products. It uses Amazon Redshift, Matillion ETL for Redshift, and Tableau for its data analytics. 

  • TLG Commerce Case Study

    Using AWS, TLG Commerce delivers high availability and instant scaling for its customers’ online stores. The firm creates customized virtual storefronts through its LogiCommerce e-commerce solution for clients such as Muji, Herman Miller, and Lacoste. TLG Commerce uses Amazon CloudFront for content delivery worldwide, while Auto Scaling in Amazon EC2 handles fluctuations in load. 

  • Travis Perkins Case Study

    Using AWS, Travis Perkins plc is creating a continuous-development and -deployment cycle, supporting its businesses by increasing automation and boosting performance of mission-critical systems. The group, which operates 21 brands including home-improvement site Wickes, has supplied materials to the United Kingdom’s building and construction markets for more than 200 years. The firm uses AWS technologies including Amazon EC2 and Amazon RDS to run SAP Hybris environments for the group’s digital store fronts.  

  • Under Armour Case Study

    Under Armour can scale its Connected Fitness apps to meet the demands of more than 180 million global users, innovate and deliver new products and features more quickly, and expand internationally by taking advantage of the reliability and high availability of AWS. The company is a global leader in performance footwear, apparel, and equipment. Under Armour runs its growing Connected Fitness app platform on the AWS Cloud.

  • V-Count Case Study

    Using AWS, V-Count grew its revenue by 92 percent in the second half of 2017 by delivering cutting-edge retail analytics and people-counting products in a highly secure environment that keeps customer data safe. The company manufactures patented visitor-tracking devices and business-analytics tools to help its clients understand their customers’ behavior and maximize the effectiveness of their marketing campaigns. Using the Amazon CloudWatch monitoring service, the V-Count team can spend less time on system administration and more time developing new products.  

  • Vend Case Study

    By migrating to AWS, Vend has reduced its overall infrastructure costs by 40 percent while gaining the flexibility to change its infrastructure to meet its specific requirements. Founded in 2010, Vend provides cloud-based point-of-sale software to retailers around the world. The business uses Amazon EC2 and Amazon ECS for a range of workloads; the company's core databases run on Amazon RDS.

  • Vinomofo Case Study

    By launching its website on AWS, Vinomofo was able to scale seamlessly to support increases in visitor numbers from 100 during off-peak periods to 12,000 during peak events. Established in 2011 and headquartered in Adelaide, Australia, Vinomofo is an online retailer that specializes in sourcing quality wines and providing discount wine deals to consumers. The business is now establishing a distribution network and business in China, and plans to launch in the United States.  

  • ViSenze Case Study

    Using AWS, ViSenze reduces test time from 30 minutes to five minutes and is able to serve customers around the globe. ViSenze is an artificial-intelligence company that develops advanced visual-search and image-recognition solutions to serve companies in e-commerce, mobile commerce, and online advertising. ViSenze uses Amazon EC2, Auto Scaling and Amazon DynamoDB to launch instances and process images quickly in response to demand shifts, while also saving on costs.  

  • Whitebox Retail Logistics Case Study

    Using AWS enables Whitebox Retail Logistics to scale to more than 200 customers while controlling costs and maintaining 99.999 percent availability. Whitebox provides logistics services to retail distribution and e-commerce businesses in Singapore. The business is using core AWS services including Amazon EC2, Amazon S3, and Amazon RDS to run business-critical applications such as SAP Business One business-management software, a real-time inventory system, and an Oracle warehouse-management system. 

  • Brooks Brothers Case Study - Amazon Chime

    Using Amazon Chime, Brooks Brothers provides its users with a single application for online meetings, calls, and chat, available on all their devices. Brooks Brothers is the oldest men's clothier in the United States, offering stylish modern clothing and fresh takes on heritage designs. By using Amazon Chime as its communications platform, Brooks Brothers was able to retire multiple legacy applications. 

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