Business information systems and processes of Amazon Table of Contents I. Purpose of the research.................................................................................................................................................................2 II. Overview of Amazon ....................................................................................................................................................................2 2.1 Introduction ...............................................................................................................................................................................2 2.2 Business Model canvas of Amazon...................................................................................................................................2 III, The core business in InventoryWarehouse Monitoring activities of Amazon..................................................6 1. The core business process of Amazon................................................................................................................................6 2. The company’s functional areas involved in the order processing in warehouses.........................................7 3. The Order Processing............................................................................................................................................................ 11 IV. Information systems are being used to support Core business process............................................................. 14 1. Information System................................................................................................................................................................ 14 2. Amazon Web Service (AWS).............................................................................................................................................. 15 3. Simple Storage Service (Amazon S3).............................................................................................................................. 18 V. Reference ........................................................................................................................................................................................ 21 Group Contribution......................................................................................................................................................................... 23 It is a system that acts as an intermediary between companies and businesses with the environment and society. It is a system located at the heart of the business, helping the process of collecting, processing and providing information in the most convenient way. Information systems now act as an intermediary between brands, businesses, and the environment and society. It is a system located at the heart of the business, playing a decisive role, making the process of collecting, processing and providing information the most convenient. In this report, we will clarify the core business process of Amazon, a global ecommerce company: the order processing in the Amazon Fulfillment Centre, which gave the company its starting point as an online bookstore that has turned into a giant. The Ecommerce giant with its own distribution network, poses a threat to retailers and courier services. Moreover, our report will also analysis the Amazon information systems which play a vital role in the business processes of Amazon, especially the order processing
Business information systems and processes of Amazon GROUP Lecturer: Lê Duy Tiến Member of group 3: Nguyễn Thị Mai Lan - 19071392 Nguyễn Thị Hồng Hải - 20070158 Nguyễn Minh Sơn - 20070785 Nguyễn Thị Hải Yến - 18071274 Hoàng Thanh Hằng - 18071079 Table of Contents I Purpose of the research II Overview of Amazon 2.1 Introduction 2.2 Business Model canvas of Amazon III, The core business in Inventory/Warehouse Monitoring activities of Amazon The core business process of Amazon The company’s functional areas involved in the order processing in warehouses The Order Processing 11 IV Information systems are being used to support Core business process 14 Information System 14 Amazon Web Service (AWS) 15 Simple Storage Service (Amazon S3) 18 V Reference 21 Group Contribution 23 1|Page I Purpose of the research It is a system that acts as an intermediary between companies and businesses with the environment and society It is a system located at the heart of the business, helping the process of collecting, processing and providing information in the most convenient way Information systems now act as an intermediary between brands, businesses, and the environment and society It is a system located at the heart of the business, playing a decisive role, making the process of collecting, processing and providing information the most convenient In this report, we will clarify the core business process of Amazon, a global e-commerce company: the order processing in the Amazon Fulfillment Centre, which gave the company its starting point as an online bookstore that has turned into a giant The E-commerce giant with its own distribution network, poses a threat to retailers and courier services Moreover, our report will also analysis the Amazon information systems which play a vital role in the business processes of Amazon, especially the order processing II Overview of Amazon 2.1 Introduction Amazon.com Ine (listed on NASDAQ AMZN) is an American e-commerce company located in Seattle, Washington state It is America's largest retail chain, with nearly three times its Internet sales Amazon is a company that deals in leather, multi-tasks such as books, music buying services, computer software, interior decoration, games Amazon's ads catch our eyes whenever we click on the Internet Experts call Amazon.com one of the most potential and promising companies today With billions of dollars in revenue per year within years of establishment and development, it is clear that this online retail supermarket is one of the giants of the ecommerce world Jeffrey P Bezos is the founder of Amazon in 1994 and started an online business in 1995 Initially the company was just an online bookstore, then diversified product lines such as DVD CD, MP3 software computers, video games, electronic goods, food, games, furniture, jewelry, clothing Amazon set up its own websites in Canada, UK, Germany, France China and Japan It also exports certain types of goods to several other countries On January 15, 2009, a study by Verdict Research found that Amazon is the most popular music and video retailer in the UK and the third largest in retail in the world 2.2 Business Model canvas of Amazon a Key activities 2|Page ● Trading in digital goods and physical goods: Most of the items are available on amazon and the quality of the products is checked before being put on the market and delivered to customers ● Develop, design and optimize its Platform (website/app): interface and application design, more upgraded graphics make it easier for buyers to choose ● Supply chain management and logistic: Amazon supply chain simply refers to the entire process of product warehousing, Inventory management, pricing and delivery b Key partners ● Manufacturers, third-party sellers, publishers and digital content producers are all key partners in Amazon's operations ● Manufacturers of the physical goods that are stocked in Amazon's warehouses are the obvious key partners However, not all physical goods sold on Amazon are stored in their own warehouses, and a substantial percentage of revenue comes from third party sellers who Amazon allows to operate on their online platform ● The people who own the intellectual property that Amazon sells via the Kindle ecosystem and streaming platforms are also key partners ● Brands: Brands also cooperate with amazon to sell, promote their products c Key resource ● Amazon's physical resources such as fulfillment centers (warehouses) and supply chain automation help support Amazon's physical resources In particular, its online sales site is important to Amazon's business model d Value Propositions ● Jeff Bezos defines that Amazon’s business model is based on three value propositions: low price, fast delivery, and a wide selection of products However, looking at these three consumer benefits, we can say that Amazon’s greatest value proposition is convenience because the audience understands that, with just the help of a device connected to the internet, they have access to the product catalog of the largest retailer in the world, with a reasonable price and an agile, safe and reliable delivery service e Cost structure ● The cost structure of Amazon includes its complete IT structure, customer service center, software development and maintenance, information security, and marketing, as well as all expenses involved in maintaining its physical spaces, such as fulfillment centers, sortation centers, and delivery stations f Customer relationships 3|Page ● Amazon puts customers and the Customer relationships in front and centre “We see our customers as invited guests to a party, and we are the hosts It’s our job every day to make every important aspect of the customer experience a little bit better.” (Jeff Bezos, founder and CEO of Amazon) Over the past 20 years, Amazon has consistently proven it is capable of running a world-class customer relationship management (CRM) strategy For its millions of loyal customers, Amazon has remained their preferred online shopping destination amid mass competition A well-managed and efficient CRM strategy has been a crucial aspect of their success g Customer segments ● Amazon offers a wide range of products and services, successfully exploiting more than one segment at the same time Specifically, the online retail giant sells more than 75 million products, appealing to the needs and wants of a wide range of customer segments h Channels ● Amazon spends a lot of money on advertising Advertising and other promotional expenses to market products and services cost Amazon $6.3 billion, $8.2 billion and $11.0 billion, $10.9 billion, respectively $16.9 billion in 2017, 2018 and 2019, 2020, 2021 ● Amazon's business scale was originally and still focused on B2C transactions As a retailer, Amazon increased the size of its business by diversifying its product offerings (from selling books, more selling CDs, selling toys, electronics, etc.) When there is an e-marketplace, Amazon only takes advantage of the advantages of its brand, customer interface, and technology infrastructure, but not the amount of information about customers, facilities or expertise in logistics again ● Amazon's marketplace is global, not limited to anywhere, anywhere with an Internet connection and no freight forwarding obstacles, where Amazon approaches and does business ● Amazon's initial business growth was based on an approach from SEO and AdWords with millions of keywords For added appeal, Amazon relies on personal information Amazon's marketing automation system will make the right recommendation for the customer From there, the marketing journey of Amazon highlights spread from person to person Besides, Amazon still strives to innovate They are constantly researching more new utility technologies to provide to customers Prominent is the Kindle online book selling application on iOS and Android platforms This is one of the very welcome apps in the market Amazon says it now sells more books on Kindle than paperbacks Amazon has earned 17% of revenue from these ads worldwide In addition, Amazon has many multichannel marketing plans They attract customers through many online marketing channels such as Associates programs, paid search, advertising portals, email marketing… All are Automation systems 4|Page i Revenue stream Amazon has 10 main revenue streams: Game, AWS, book, music and video, Amazon ticket, Amazon Prime, Amazon Fire, Amazon e-commerce platform, License of invention, Advertising service Amazon makes money in distinct ways The majority of Amazon's revenue comes from sales on the main site, either directly or through third-party commissions Other sales come from AWS, brick-and-mortar stores, and subscription services, such as Prime ○ Online Store: Includes sales of digital media content and products Amazon leverages its retail infrastructure to offer a wide selection of merchandise including media products available in both physical and digital formats, such as books, music, videos, games and software This product sales include digital products, “Account Upgrade” package ○ Direct store: where customers can buy Amazon products directly in the store, or 5|Page they order on the app and then go to the store to pick up the goods ○ Third-party seller services: Commissions and any shipping and related fees and other services of the third-party seller ○ Subscriptions: Annual and monthly fees for Prime account upgrades Amazon's standard Prime subscription rate is $119/year, which translates to more than $17.8 billion in revenue, although the company already offers membership discounts for students and others ○ AWS: AWS includes sales of computers, storage, databases, and other services globally ○ Other: mainly includes the sale of advertising services, as well as the sale of services related to other service III, The core business in Inventory/Warehouse Monitoring activities of Amazon The core business process of Amazon Amazon is one of the largest e-commerce companies in the world and the largest retailer in the United States Founded in 1994, Amazon has achieved great success and has reached the top position today The key of Amazon’s success is emphasizing on customer centricity, they optimize all of their processes to make it easier for the customer to decide and buy the product, and to make it as cheap to the customers’ as possible One of the main processes that help Amazon greatly increase customer satisfaction is the fast, effective order processing in the extremely modern warehouse system There are some outstanding features, which make the order processing highly effective and special, in Amazon's warehouse management system The pinnacle of the art of archiving by technology from 20% of revenue; less than 10% of revenue Nothing like traditional warehouses; Amazon's warehouse is highly computerized So much so that they require a lot of lines of code to operate From the moment the first signals were sent by the computer Indicates which products are taken down from the shelf Until the order of packing, waiting, loading and unloading on the vehicle Everything is closely monitored by the managers here The excellence in stocking, picking Amazon's warehouse processing process is applied according to the CFN (Customer Fulfillment Networking) strategic model As a result, warehouse productivity increased by 40%, operating costs in years decreased Each customer order will be loaded onto the warehouse staff's handheld device The system will automatically determine for them the closest distance between random items inside this warehouse This; help Amazon employees complete their "crab pick up" in the shortest amount of time Shorter pick-up time means shorter delivery time, more satisfied customers Everything in the warehouse is automated; so employees only need to follow the instructions of the handheld device to be able to complete their work Accuracy when picking up 6|Page Everything is done by machines; The human factor is minimized Employees only need to follow the instructions of the system Take the shortest route, pick up the item and then deliver it to the customer It helps to reduce risks such as getting the wrong color of clothes, wrong size or many other problems Storage savings in Amazon warehouse management Any empty cell is filled the storage capacity of the warehouse is greatly enhanced Amazon claims that with this random sorting method alone, their warehouse can hold times more than traditional storage The randomness also allows for easier management, as customers can order anything in Amazon's inventory Placing products in any open space is an effective way to save warehouse space Bringing robots into Amazon's warehouse management network Amazon makes a breakthrough when it adds robots to its random, transforming network Amazon has thousands of robots that support warehouse operations Robots here are small box-like machines that lift shelves and run along a separate path The storage racks will be continuously rotated by the computer system to bring out the empty space When evaluating and comparing, it takes about 60-75 minutes for manual staff to complete the order receipt and delivery cycle, the warehouse system with robot only takes 15 minutes Warehouses can hold 50% more goods The company’s functional areas involved in the order processing in warehouses Amazon Web Service - AWS: is the world's most comprehensive and broadly adopted cloud platform, which is developed by Amazon It plays a core role in the business process of Amazon 7|Page AWS stores all data, provides distributed computing processing capacity and software tools; manages inventory, robotic systems Picking Station: It all starts with the picking process, where the desired goods are picked up in the pick towers Modern fulfillment centers use robots to aid the picking process, while older centers and centers with goods that are difficult to handle (bottles, clothing, etc.) use manual picking ● Manual Picking: The pickers push a cart with yellow boxes and have a hand-held scanner The scanner tells them the shelf position for the next pick Since this is a random storage system, the shelf area may contain other products, and the same product may also reside on other shelves The picker scans the shelf barcode, then the item If everything is fine, the picker moves on to the next position ● Robotic Picking: Similar to robotic queuing, robotic picking does not use robots to remove items from shelves The robot has the role of bringing pods full of items to associates working at pick stations Robotics system One of the most amazing aspects of Amazon fulfillment is their Amazon Robotics It has made the order process of Amazon faster, easier, more efficient, more productive and reduced the fulfillment cost by 40% Almost every job in Amazon's warehouse uses robots to work From the moment the first signals are sent out by the computer showing what products are being taken off the shelf, to the order in which they are packed, waiting, unloading, and unloading Everything has a robot footprint Amazon Robot Kiva 8|Page Picture Description Goods to Person robot near 75x60x35 cm Payload 450 kilograms (1000 pounds) Speed of about km/h Hercules Similar to Kiva but with 3000 lbs lifting capacity (near 1500 kg) Pegasus Pegasus replaces the original Kiva but 19 cm thinner Payload 560 kg Pegasus XSort Drive Using the Pegasus as the base, different attachments can be added on top X-Sort Drive, a half-meter belt of conveyor, is an example of such an attachment Xanthus Hybrid Robot Xanthus succeeded Pegasus In June 2019, Amazon MARS presented this robot for the first time This drive unit can also carry pods, but it can be used with a variety of attachments Bert Bert is mobile and can navigate the warehouse with the help of cameras and sensors It can be ordered and programmed to transport packages within a facility by a worker 9|Page Ernie Ernie moves around the stack using a robotic arm It lifts totes from the stack to place them in front of workers Scooter Scooter is an automated tractor that tows empty totes around, Kemet specializes in returning empty totes Kermit Kermit is an automated guided cart (agc) with magnetic navigation where decision points are tags on the floor that indicate if it should change direction, speed up or slow down as it travels along Scout Scout is a six-wheeled autonomous vehicle conceived to perform last-mile deliveries to your door Drones The Prime Air drones can safely deliver products to customers' front doors Drones can transport orders below five pounds (2.26kg) Packing Station: Each fulfillment center has 100 or so packing stations, although not all of them are active all the time Here is the place where the item will be packaged and barcoded containing 10 | P a g e all the necessary information about the parcel At this stage, the main resource is people and is supported by Machine Learning SLAM system: SLAM has nothing to with wildly slamming your parcel around (that is done during delivery), but stands for Scan, Label, Apply, Manifest It is also a final quality check that weighs the parcel and compares the weight with the expected weight of the items and packaging again If there is a discrepancy, the parcel is checked again manually During packing, a barcode was attached to the parcel This links the parcel with the related information, but this is only machine-readable During SLAM, a machine scans this code, prints a proper shipping label that humans can also read, and attaches this label to the parcel A fulfillment center may have somewhere around 10 SLAM machines Human Resource: Stowers, Pickers, Associates, Managers The Inventory Control and Quality Assurance team: makes sure an item's physical location actually matches what's in the computer, tracking millions of units of inventory Amnesty Floor Monitors supports robots by making sure the floors are clear and reset the units when needed The Order Processing The diagram of the order processing of Amazon 11 | P a g e Once customers hit the buy button on Amazon.com, Amazon's system will identify whether the order belongs to Amazon's performance or to Partner's performance If it is performed by Amazon, the information of orders will be sent to Amazon Fulfillment Centre The First Stage: Picking Items After the Fulfillment Centre (FC) receives the information of orders, it will be automatically distributed to workers at pick stations At the same time, the inventory systems will queue the robots to find the inventory pod with the item the customer ordered Once that item has been identified the robot will bring it to the associates A screen at the associate station will show them a picture and quantity of the item they need to pick The same visual bin inspection system is used as during stow to help associates identify the item The associate identifies and grabs the item, placing it in the yellow toad signified by the green light and pushes the button acknowledging that the item was placed there When the system detects that the tote is full, the light flashes and the associate pushes the full tote back to a series of conveyors and replaces it with a new one that was automatically brought to their station At this stage associates are picking items for different customers in batches The two types of picking processes Amazon focuses on are Single-item orders and Multipleitem orders The Single-item orders contain only one item per customer order They fill up a yellow tote full of Single-item orders weighing up to 25 pounds The Single-item order yellow totes will then be routed to the singles pack lines for packaging The Multiple-item orders contain more than one item per order For instance, if a Multiple-item order of six items are all in this building then it's possible that the order is being picked up by up to six different people picking items from six different robots which all need to be brought together for a single shipment The items will be placed in any available yellow tote and routed to the Multiple-item order assembly stations It's at that point that Amazon will re-bin the individual items into one customer order Then once all of the items are together it's packing time The Second Stage: Packing To help improve efficiency and also reduce environmental impact of the packaging, the size of the boxer envelope is automatically selected by a Machine Learning algorithm Even the correct length of tape is determined by Machine Learning and automatically dispensed If needed, protective packaging materials are added, a barcode is placed on the package, it's sealed up and away we go That barcode will be important for the next stage that we call SLAM 12 | P a g e The Third Stage: SLAM SLAM is an acronym, which stands for Scan, Label, Apply, and Manifest The technology here scans that barcoded sticker placed on the package in pack and immediately knows to print the correct shipping label on the package This is the time the customer name and address are placed on the package The shipping label is also determined by Machine Learning In the space of a few seconds, an algorithm is run to determine the optimal delivery carrier to get you the package on time and at the lowest cost possible There are also Quality Control Measures in place here Following this, the box is weighed and the weight is checked against the item's known weight If the weight is off the order will be routed to a special location From there an associate will open the package and take the applicable action Final Stage: Delivery After passing all of those quality control measures, the package is routed onto another series of conveyors to a location where the label is scanned The conveyors then automatically send each package down the correct chute where it will be packaged on a semi-trailer for shipment to another FC or a sortation center for final delivery to the customer 13 | P a g e IV Information systems are being used to support Core business process Information System In 1995 Amazon used a website system and order fulfillment system separately in order to improve security By 1995 amazon has huge database running on Digital Alpha Servers Amazon renovated the entire system in the year of 2000 Company spent $200 million on the new system These systems include analysis software from "Epiphany", logistics from "manugistics" and new DBMS from oracle (Gerald, 2012) For communication with supplies amazon seal deal with Excelon for business-to-business integration system (Konicki, 2000) Amazon Web Service (AWS) and Simple Storage Service (SS) are the main systems developed by amazon Through this system amazon can maintain its vast number of products and millions of active customers Amazon Web Service is the world's most comprehensive and widely used cloud platform, with the most extensive and in-depth set of services Millions of customers trust AWS to support their infrastructure and applications Startups and organizations of all sizes and types are using AWS services to experiment, innovate faster, reduce costs, and become more agile Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance Customers of all sizes and industries can store and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps With cost-effective storage classes and easy-to-use management 14 | P a g e features, you can optimize costs, organize data, and configure fine-tuned access controls to meet specific business, organizational, and compliance requirements Amazon Web Service (AWS) 2.1 Key features Amazon Web Services (AWS) is the most comprehensive and widely used cloud platform, delivering over 200 full-featured services from data centers around the world Millions of customers—including the fastest-growing startups, largest corporations, and leading government agencies—trust AWS to reduce costs, become more agile, and innovate new faster ● Ideas for creating AWS infrastructure The idea is that cloud components encode configuration details, boilerplate, and glue logic to use one or more AWS services The AWS CDK provides an idea library that includes a wide range of AWS services and features, allowing customers to define their application's infrastructure at a high level In addition, the structures are adjustable and combined They can easily change any parameter or code their own custom idea ● Customize, share and reuse ideas With the AWS CDK, customers can customize, share, and reuse ideas within their organization or community, just like any other software library This allows they to build ideas that get their or someone else up and running faster and incorporate best practices by default ● Powered by AWS Cloud Formation The AWS CDK allows customers to define their infrastructure in code and make it available through AWS Cloud Formation They get all the benefits of Cloud Formation, including repeatable deployment, easy transaction abort, and error detection ● Use familiar programming languages, tools, and workflows AWS CDK allows to model application infrastructure using TypeScript, Python, Java, NET, and Go (developer preview) Along with the CDK, developers can use existing IDEs, testing tools, and workflow templates By leveraging tools like autocomplete and inline documentation, the AWS CDK allows you to spend less time switching between service documentation and code 15 | P a g e ● Deploy infrastructure and runtime code together The AWS CDK allows reference runtime code assets in the same project with the same programming language For example, customers can include AWS Lambda runtime code or Docker container images in their CDK project, and when they deploy their application, the CDK framework automatically uploads and configures the AWS service with the resources, the runtime property When the CDK deployment is complete, customers will have a fully functional application ● Developer-friendly command line interface (CLI) The AWS CDK CLI helps to interact with the CDK applications and enables functions such as CFN pattern aggregation, display of diffs between the running stack and proposed changes, and associated change validation to pre-deployment security and deploy multiple stacks in multiple environments The command includes: cdk init, cdk synth, cdk diff, cdk deploy, ● Integrate with IDE AWS CDK Explorer (preview) is a feature included in the AWS Toolkit for Visual Studio Code that provides a holistic view of applications, infrastructure stack, resources, and policies AWS CDK Explorer lists CDK projects and allows customers to easily browse the many components of your CDK application The sidebar of the AWS CDK Explorer is integrated in Visual Studio Code Customers can find this sidebar on the default Visual Studio Code Explorer icon After they run the cdk synth, they can refresh the AWS CDK Explorer interface to update the display tree and see the changes they have made to the infrastructure 2.2 The way AWS support the core business process 16 | P a g e ● AWS enhances security for Amazon's business Cloud security is AWS's highest priority Cyberattacks on OT infrastructure have increased dramatically in recent times Using AWS will ensure the safety of business processes, keep factories running well, robots run smoothly, without interruption, without intrusion into Amazon's internal information ● Lower IT/operational technology costs Focus on business improvement and innovation, rather than IT infrastructure and operational technology (OT) AWS's serverless computing model and pay-ondemand services help reduce the cost of running a smart factory or smart product program such as shipping, closing robots Amazon packages With minimal upfront investment and virtually unlimited on-demand capacity, you can focus on setting your business apart rather than infrastructure ● Ingestion begins with forecasting and pre-ordering with AWS Powered by AWS amazon forecasting, powered by AWS amazon forecasting used for over 400 million products daily It's a symphony of people with AWS software and other high-tech components 17 | P a g e Simple Storage Service (Amazon S3) 3.1 Key Features ● Storage Management With S3 bucket names, prefixes, object tags, and S3 Warehouses, users have multiple ways to categorize and report on their data, which in turn can configure other S3 features to perform operations With S3 Batch Operations, users can copy objects between buckets, replace object tag sets, modify access control rules, and restore archives from S3 Glacier Flexible Retrieval storage classes and S3 Glacier Deep Archive, with a single S3 API request or several clicks in the S3 console To get started, specify a target audience list using an S3 Warehouse report or a custom list, and then select the desired action from the pre-populated menu ● Storage monitoring Use AWS CloudTrail to monitor and report on bucket and object-level activities, and configure S3 Event Notifications to trigger workflows and notifications, or call AWS Lambda when changes are made specific to your S3 resources S3 event notifications automatically transcode media files when they are uploaded to S3, process data files when available, and synchronize objects with other data stores Additionally, users can verify the integrity of data transferred to and from Amazon S3, and access checksum information at any time using the S3 API Get Object Attributes or S3 Warehouse reports There are supported checksum algorithms options to choose to check the data integrity of the upload and download requests, depending on the needs ● S3 storage class analysis 18 | P a g e Amazon S3 Storage Class Analysis analyzes storage access patterns to help you decide when to move the right data to the right storage class This Amazon S3 feature observes data access patterns to help users determine when to move less frequently accessed storage to a lower-cost storage class The results can be used to help improve the S3 Lifecycle policy Users can configure storage class analysis to analyze all objects in a bucket, or configure filters to group audiences together for analysis by common prefix, audience tag, or both prefix and tag To learn more, visit the storage analytics and insights page ● Access Management To protect data in Amazon S3, by default, users only have access to the S3 resources they create The assessment can be granted to other users using one or a combination of the following access management features: AWS Identity and Access Management (IAM) to create users and manage their respective access rights surname; Access control lists (ACLs) to allow authorized users access to each object; bucket policy to configure permissions for all objects in an S3 bucket; S3 access point to simplify the management of data access to shared datasets by creating access points with specific names and permissions for each application or set of applications; and Query String Authentication to grant limited-time access to others using a temporary URL Amazon S3 also supports Audit Logs that list requests made to S3 resources so we can get a complete view of who is accessing the data ● Data processing: S3 Object Lambda With S3 Object Lambda users can add their own code to S3 GET requests to modify and process data as it is returned to an application For the first time, custom code can be used to modify the data returned by standard S3 GET requests to filter rows, dynamically resize images, remove confidential data, and more so more S3 Object Lambda uses AWS Lambda functions to automatically process the output for a standard S3 GET request AWS Lambda is a serverless computing service that runs customer-defined code without requiring management of underlying compute resources From that point forward, S3 will automatically call the Lambda function to process any data retrieved through the S3 Object Lambda Access Point, returning the converted results back to the application ● Data transmission Connectivity is a key factor in moving data AWS has services that can define the needs in hybrid cloud storage, online and offline data transfer Additionally, users can use AWS DataSync to replicate objects between an S3 bucket on Outposts and 19 | P a g e a bucket in the AWS Region AWS Transfer Family enables fully managed, simple, and seamless file transfers to Amazon S3 using SFTP, FTPS, and FTP Amazon S3 Transfer Acceleration enables rapid file transfers over large distances between the client and the Amazon S3 bucket The AWS Snowball service uses persistent removable storage and edge computing devices to collect, process, and move data Customers can ship physical Snowball devices for offline data migration to AWS AWS Snowmobile is an exabyte-scale data transfer service used to move huge amounts of data to the cloud, including video libraries, image archives, or even migrate an entire network Customers can also work with third-party providers from the AWS Partner Network to implement hybrid storage architecture, integrate Amazon S3 into existing applications and workflows, and transfer data data to and from the AWS Cloud ● Performance Amazon S3 provides industry-leading performance for cloud object storage Performance scales per prefix, so you can use as many prefixes as you want in parallel to get the throughput you need Amazon S3 performance supports at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data ● On-site query for analytics Run big data analytics on the S3 objects (and other data sets in AWS) with the onpremises query service Use Amazon Athena to query S3 data with standard SQL expressions and Amazon Redshift Spectrum to analyze data stored on the AWS data stores and S3 resources The also use S3 Select to retrieve small sets of object metadata instead of the entire object and increase query performance by up to 400% 3.2 The way S3 support the core business process Amazon uses Simple Storage Service to store most data The data can be moved from wherever it lives - in the cloud, in applications, or on-premises to Amazon S3 In Amazon S3, Object Storage is built for the storage and retrieval of any amount of data from anywhere In order to store data, S3 has a role in creating buckets, specifying the Region, access controls, and management options, and uploading any amount of data Data stored in Amazon S3 plays a core role in operating the FC All information of all items, products such as item name, brand, and stowing location in FC, is stored and analyzed in S3 20 | P a g e That information is collected from sellers, retailers who are selling products on Amazon.com, and from stowing station in the FC Whenever an order is taken, S3 will immediately query the right data and send it to the AI system, which controls, and manages the performance of Amazon robots in the FC Then, AI will automatically solve the data and control the robots for working to process the order Moreover, Amazon S3 also provides data to Machine Learning, which supports associates in packing and the SLAM process In the packing station, Machine Learning has a mission to select, determine the size of the boxer envelope and the correct length of tape, which fits with the ordered item, for the associates packing Those data of the size of the boxer, the length of tape is stored and queried from Amazon S3 Besides that, S3 stores the data of carriers, who have cooperated with Amazon in delivering the orders to customers, as well Machine Learning will receive the carrier's data and then an algorithm will be run to determine the optimal delivery carrier to get the customer the package on time and at the lowest cost possible That helps SLAM print the correct shipping label on the package In order to query the data quickly, immediately as above, Amazon S3 has a built-in feature and complementary services that query data without needing to copy and load it into a separate analytics platform or data warehouse S3 Select is an S3 feature designed to increase query performance by up to 400%, and reduce querying costs as much as 80% It works by retrieving a subset of an object’s data (using simple SQL expressions) instead of the entire object, which can be up to terabytes in size Amazon S3 is also compatible with AWS analytics services Amazon Athena and Amazon Redshift Spectrum Amazon Athena queries data in Amazon S3 without needing to extract and load it into a separate service or platform It uses standard SQL expressions to analyze the data, delivers results within seconds, and is commonly used for ad hoc data discovery Amazon Redshift Spectrum also runs SQL queries directly against data at rest in Amazon S3, and is more appropriate for complex queries and large data sets (up to exabytes) V Reference Dudovskiy, J., 2022 Amazon Segmentation, Targeting and Positioning: 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[https://aws.amazon.com/vi/s3/features/?nc=sn&loc=2] [Accessed May 2022] ResearchGate 2014 (PDF) A STUDY ON AMAZON: INFORMATION SYSTEMS, BUSINESS STRATEGIES AND e-CRM [online] Available at: [https://www.researchgate.net/publication/261440748_A_STUDY_ON_AMAZON_IN FORMATION_SYSTEMS_BUSINESS_STRATEGIES_AND_e-CRM] [Accessed May 2022] Daniel Pereira, 2020 Amazon Business Model [online] Business Model Analyst Available at: [https://businessmodelanalyst.com/amazon-businessmodel/amp/#Amazons_Value_Propositions] [Accessed May 2022] Roser, C., 2019 The Inner Workings of the Amazon Fulfillment Centers Part | AllAboutLean.com [online] AllAboutLean.com Available at: [https://www.allaboutlean.com/amazon-fulfillment-3/] [Accessed May 2022] Roser, C., 2019 The Inner Workings of the Amazon Fulfillment Centers Part | AllAboutLean.com [online] AllAboutLean.com Available at: [https://www.allaboutlean.com/amazon-fulfillment-4/] [Accessed May 2022] 10 Tran Thuy Linh, 2022 Điều tạo nên thành công quản lý kho hàng Amazon? [online] Bota - Giải pháp quản lý bán hàng đa kênh toàn diện Available at: [https://bota.vn/dieu-gi-tao-nen-su-thanh-cong-trong-quan-ly-kho-hang-cua-amazon/] [Accessed May 2022] 11 Bota, 2019 Điều tạo nên thành công quản lý kho hàng Amazon? [online] Bota - Giải pháp quản lý bán hàng đa kênh toàn diện Available at: [https://bota.vn/dieu-gi-tao-nen-su-thanh-cong-trong-quan-ly-kho-hang-cua-amazon/] [Accessed May 2022] 12 Amazon Web Services, Inc n.d Tính Amazon S3 - Amazon Web Services [online] Available at: [https://aws.amazon.com/vi/s3/features/?nc=sn&loc=2] [Accessed May 2022] 22 | P a g e Group Contribution Full Name Student ID Nguyễn Thị Mai Lan 19071392 - Leader and supporter Part II, III Slide 100% Nguyễn Thị Hồng Hải 20070158 - Member and supporter Part I, II, III, IV Present 100% Nguyễn Minh Sơn 20070785 - Member and supporter Part I, IV, V Slides 100% Hoàng Thanh Hằng 18071079 - Member and supporter Part II, IV Present 100% Nguyễn Thị Hải Yến 18071274 - Member and supporter Part II, IV Present 100% 23 | P a g e Contribution Assessment