Strategies adopted by amazon during the recession along with generic business...Md. Nazmus Sakib
The assignment reflects the generic strategies of Amazon.com. it undertakes to highlights the financial performance of Amazon during the recession and reasons behind the success of that time. Finally, it focuses on the lessons for a manager from its strategies.
AMAZON - case study - growth of e-commerceSiddhi Sharma
This study aims to find out the Line of business of amazon, types of business models used, e-commerce strategies and supply chain management strategies
Strategies adopted by amazon during the recession along with generic business...Md. Nazmus Sakib
The assignment reflects the generic strategies of Amazon.com. it undertakes to highlights the financial performance of Amazon during the recession and reasons behind the success of that time. Finally, it focuses on the lessons for a manager from its strategies.
AMAZON - case study - growth of e-commerceSiddhi Sharma
This study aims to find out the Line of business of amazon, types of business models used, e-commerce strategies and supply chain management strategies
MGT230 v6Amazon.com Case Study AnalysisMGT230 v6Page 2 of .docxbuffydtesurina
MGT/230 v6
Amazon.com Case Study Analysis
MGT/230 v6
Page 2 of 2
Amazon.com Case Study AnalysisAmazon.com—Keeping the Fire Hot
Amazon.com has gained the No. 1 spot as the world’s largest Internet retailer. But, never content to rest on past laurels, CEO Jeff Bezos keeps introducing and upgrading Amazon products and services.
It’s hard to keep pace with new versions of the Amazon Kindle Fire, Prime Instant Video TV, and movie content streamed on demand. There’s a variety of cloud computer services. And, Bezos keeps increasing investments in new distribution centers staffed increasingly by robots. It’s all part of a push to make Amazon the go-to choice for fast—even same-day—deliveries of as many of the products we consume as possible.
Decision Making and Innovation
From its modest beginning in Jeff Bezos’s garage in 1995, Amazon.com has grown into the megalithic online retailer. Bezos continues to diversify Amazon’s product offerings and broaden its brand. Beyond simply finding more and more products and services to offer, he knows that he has to innovate in order to prevent his brand from becoming stagnant. No one is ever sure what will come next under Bezos’s guidance. His guiding question is: “What kind of innovation can we layer on top of this that will be meaningful for our customers?”
Amazon’s Kindle almost single handedly launched the ebook revolution. Also, Amazon Prime could be seen as a revolution. Prime members get free two-day shipping and discounted one-day shipping as well as access to Amazon Instant Video, movie, TV and music streaming, and free content. It’s all designed to keep customers plugged into Amazon. Bezos calls Amazon Prime “the best bargain in the history of shopping, and it’s going to keep getting better.”
There’s no shortage of competition. Amazon has squared off against Netflix, Apple, and Google in realms of both hardware and digital entertainment. It bought top-shelf audio book vendor Audible.com and later added shoe and clothing merchant Zappos.com. Then came acquisition of Boston-based Kiva Systems. Kiva’s automated guided robots deliver product to workers at pick stations, allowing Amazon increased efficiency (and reduced labor costs) in its worldwide distribution centers.
Bezos as a Decision Maker
Rather than sticking to just the analytical step-by-step process, Bezos isn’t afraid of informed intuition. He uses creativity, flexibility, and spontaneity when making key decisions. He seems comfortable with abstraction and lack of structure when making decisions and isn’t afraid to fail.
Seeming not to worry about current earnings per share, Bezos keeps investing to make his company stronger and harder to catch. Its millions of square feet of distribution fulfillment space keep growing domestically and around the globe. The firm’s products and services are continuously upgraded and expanded. Drones are ready to fly Amazon deliveries to customers. But will these investments pay off? Is Bezos making the right l.
MGT230 v6Amazon.com Case Study AnalysisMGT230 v6Page 2 of .docxjessiehampson
MGT/230 v6
Amazon.com Case Study Analysis
MGT/230 v6
Page 2 of 2
Amazon.com Case Study AnalysisAmazon.com—Keeping the Fire Hot
Amazon.com has gained the No. 1 spot as the world’s largest Internet retailer. But, never content to rest on past laurels, CEO Jeff Bezos keeps introducing and upgrading Amazon products and services.
It’s hard to keep pace with new versions of the Amazon Kindle Fire, Prime Instant Video TV, and movie content streamed on demand. There’s a variety of cloud computer services. And, Bezos keeps increasing investments in new distribution centers staffed increasingly by robots. It’s all part of a push to make Amazon the go-to choice for fast—even same-day—deliveries of as many of the products we consume as possible.
Decision Making and Innovation
From its modest beginning in Jeff Bezos’s garage in 1995, Amazon.com has grown into the megalithic online retailer. Bezos continues to diversify Amazon’s product offerings and broaden its brand. Beyond simply finding more and more products and services to offer, he knows that he has to innovate in order to prevent his brand from becoming stagnant. No one is ever sure what will come next under Bezos’s guidance. His guiding question is: “What kind of innovation can we layer on top of this that will be meaningful for our customers?”
Amazon’s Kindle almost single handedly launched the ebook revolution. Also, Amazon Prime could be seen as a revolution. Prime members get free two-day shipping and discounted one-day shipping as well as access to Amazon Instant Video, movie, TV and music streaming, and free content. It’s all designed to keep customers plugged into Amazon. Bezos calls Amazon Prime “the best bargain in the history of shopping, and it’s going to keep getting better.”
There’s no shortage of competition. Amazon has squared off against Netflix, Apple, and Google in realms of both hardware and digital entertainment. It bought top-shelf audio book vendor Audible.com and later added shoe and clothing merchant Zappos.com. Then came acquisition of Boston-based Kiva Systems. Kiva’s automated guided robots deliver product to workers at pick stations, allowing Amazon increased efficiency (and reduced labor costs) in its worldwide distribution centers.
Bezos as a Decision Maker
Rather than sticking to just the analytical step-by-step process, Bezos isn’t afraid of informed intuition. He uses creativity, flexibility, and spontaneity when making key decisions. He seems comfortable with abstraction and lack of structure when making decisions and isn’t afraid to fail.
Seeming not to worry about current earnings per share, Bezos keeps investing to make his company stronger and harder to catch. Its millions of square feet of distribution fulfillment space keep growing domestically and around the globe. The firm’s products and services are continuously upgraded and expanded. Drones are ready to fly Amazon deliveries to customers. But will these investments pay off? Is Bezos making the right l.
MGT230 v6Amazon.com Case Study AnalysisMGT230 v6Page 2 of .docxbuffydtesurina
MGT/230 v6
Amazon.com Case Study Analysis
MGT/230 v6
Page 2 of 2
Amazon.com Case Study AnalysisAmazon.com—Keeping the Fire Hot
Amazon.com has gained the No. 1 spot as the world’s largest Internet retailer. But, never content to rest on past laurels, CEO Jeff Bezos keeps introducing and upgrading Amazon products and services.
It’s hard to keep pace with new versions of the Amazon Kindle Fire, Prime Instant Video TV, and movie content streamed on demand. There’s a variety of cloud computer services. And, Bezos keeps increasing investments in new distribution centers staffed increasingly by robots. It’s all part of a push to make Amazon the go-to choice for fast—even same-day—deliveries of as many of the products we consume as possible.
Decision Making and Innovation
From its modest beginning in Jeff Bezos’s garage in 1995, Amazon.com has grown into the megalithic online retailer. Bezos continues to diversify Amazon’s product offerings and broaden its brand. Beyond simply finding more and more products and services to offer, he knows that he has to innovate in order to prevent his brand from becoming stagnant. No one is ever sure what will come next under Bezos’s guidance. His guiding question is: “What kind of innovation can we layer on top of this that will be meaningful for our customers?”
Amazon’s Kindle almost single handedly launched the ebook revolution. Also, Amazon Prime could be seen as a revolution. Prime members get free two-day shipping and discounted one-day shipping as well as access to Amazon Instant Video, movie, TV and music streaming, and free content. It’s all designed to keep customers plugged into Amazon. Bezos calls Amazon Prime “the best bargain in the history of shopping, and it’s going to keep getting better.”
There’s no shortage of competition. Amazon has squared off against Netflix, Apple, and Google in realms of both hardware and digital entertainment. It bought top-shelf audio book vendor Audible.com and later added shoe and clothing merchant Zappos.com. Then came acquisition of Boston-based Kiva Systems. Kiva’s automated guided robots deliver product to workers at pick stations, allowing Amazon increased efficiency (and reduced labor costs) in its worldwide distribution centers.
Bezos as a Decision Maker
Rather than sticking to just the analytical step-by-step process, Bezos isn’t afraid of informed intuition. He uses creativity, flexibility, and spontaneity when making key decisions. He seems comfortable with abstraction and lack of structure when making decisions and isn’t afraid to fail.
Seeming not to worry about current earnings per share, Bezos keeps investing to make his company stronger and harder to catch. Its millions of square feet of distribution fulfillment space keep growing domestically and around the globe. The firm’s products and services are continuously upgraded and expanded. Drones are ready to fly Amazon deliveries to customers. But will these investments pay off? Is Bezos making the right l.
MGT230 v6Amazon.com Case Study AnalysisMGT230 v6Page 2 of .docxjessiehampson
MGT/230 v6
Amazon.com Case Study Analysis
MGT/230 v6
Page 2 of 2
Amazon.com Case Study AnalysisAmazon.com—Keeping the Fire Hot
Amazon.com has gained the No. 1 spot as the world’s largest Internet retailer. But, never content to rest on past laurels, CEO Jeff Bezos keeps introducing and upgrading Amazon products and services.
It’s hard to keep pace with new versions of the Amazon Kindle Fire, Prime Instant Video TV, and movie content streamed on demand. There’s a variety of cloud computer services. And, Bezos keeps increasing investments in new distribution centers staffed increasingly by robots. It’s all part of a push to make Amazon the go-to choice for fast—even same-day—deliveries of as many of the products we consume as possible.
Decision Making and Innovation
From its modest beginning in Jeff Bezos’s garage in 1995, Amazon.com has grown into the megalithic online retailer. Bezos continues to diversify Amazon’s product offerings and broaden its brand. Beyond simply finding more and more products and services to offer, he knows that he has to innovate in order to prevent his brand from becoming stagnant. No one is ever sure what will come next under Bezos’s guidance. His guiding question is: “What kind of innovation can we layer on top of this that will be meaningful for our customers?”
Amazon’s Kindle almost single handedly launched the ebook revolution. Also, Amazon Prime could be seen as a revolution. Prime members get free two-day shipping and discounted one-day shipping as well as access to Amazon Instant Video, movie, TV and music streaming, and free content. It’s all designed to keep customers plugged into Amazon. Bezos calls Amazon Prime “the best bargain in the history of shopping, and it’s going to keep getting better.”
There’s no shortage of competition. Amazon has squared off against Netflix, Apple, and Google in realms of both hardware and digital entertainment. It bought top-shelf audio book vendor Audible.com and later added shoe and clothing merchant Zappos.com. Then came acquisition of Boston-based Kiva Systems. Kiva’s automated guided robots deliver product to workers at pick stations, allowing Amazon increased efficiency (and reduced labor costs) in its worldwide distribution centers.
Bezos as a Decision Maker
Rather than sticking to just the analytical step-by-step process, Bezos isn’t afraid of informed intuition. He uses creativity, flexibility, and spontaneity when making key decisions. He seems comfortable with abstraction and lack of structure when making decisions and isn’t afraid to fail.
Seeming not to worry about current earnings per share, Bezos keeps investing to make his company stronger and harder to catch. Its millions of square feet of distribution fulfillment space keep growing domestically and around the globe. The firm’s products and services are continuously upgraded and expanded. Drones are ready to fly Amazon deliveries to customers. But will these investments pay off? Is Bezos making the right l.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Sam
1. Slide-01
Amazon.com and the company are the mail order sites
where the base is set up with the United States of
America in Seattle (Washington). It is one of the en-
terprises that succeed in the Internet for the first time
in the field of dealings. Various commodities such as
DVD and electrical fittings were treated. It includes
Alexa Internet, A9.com, and Internet movie data base
(IMDb), etc.
How to make Slide – p.1/??
2. Slide-02
The customer-first policy hangs and it hangs to offer
the customer the necessary one cheaply, and early. to
the firstIn the idea of Jeff [bezosu], there was an ex-
pectation that times the kind of commodity how many
were able to be treated if it was the Internet bookstore
while the bookstore of the maximum scale had treated
the book on 200,000 points in the maximum in the
United States. Establishment can say that the feature
the forecast of the person concerned of the profit’s not
going up enough as the strategy a first period of year
of 4 to 5.
How to make Slide – p.2/??
3. Slid03
The maximum feature of Amazon is provided as a
strong recommendation function of T. At present,
Amazon is predominant and the opinion that the practi-
cal level of the recommendation runs in state-of-the-art
is predominant. Equally in the technology improve-
ment ..it is.., absorded is done. Actually, it is said that
it reflects in the business operation where even cus-
tomer’s religion includes it, and it will be possible to
think in the near future, and it becomes it. It lodges the
patent application that having it has technically devel-
oped in the United States of America.
How to make Slide – p.3/??
4. Slide-04
Moreover, it is often spoken as one success case by
commenting on the personalizing technology of Ama-
zon.com. On the other hand, the recommendation as
the case may be includes the process of collecting in-
formation that shuts very much like individual likes
and tastes, an idea doctrine, and a sexual concern, etc.
etc.Therefore, the problem group from the viewpoint
of privacy is often put out.
How to make Slide – p.4/??
5. slide-05
In Amazon, four that arranges the method of man-
agement without dividing into the category according
to the genre and the publisher reserves the fragment.
And, it is understood whether to send the portable ter-
minal and information from the host computer when
going to take the book, and where to exist. And, it is
registered to the host computer that reads the bar code
applied to the book when the book is offered and the
bar code of the shelf. The extra time divided by the
genre is saved by such a management method.
How to make Slide – p.5/??
6. Slide-06
It seems that the personal information management of
Amazon is sweet. It was a discussion of making at-
tention awake from of old that tended to be able to
clarify individual information by the specification eas-
ily it and there the point of the favor of the collec-
tion too much though "Leakage of individual informa-
tion by the specification" happened finally because of
Amazon.co.jp information on the hobby, and it was it.
"Child and sex criminal’s contact chances had been im-
proved" existed this system and there was a point up to
the present.
How to make Slide – p.6/??