amazon case study 2018

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Amazon.com: Supply Chain Management

By: P. Fraser Johnson, Ken Mark

By early 2018, Seattle-based Amazon.com Inc. (Amazon), one of the world's most valuable companies and the largest online retailer in the world, had grown dramatically since its beginnings in 1994.…

• Length: 19 page(s)
• Publication Date: Jul 26, 2018
• Discipline: Operations Management
• Product #: W18451-PDF-ENG

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By early 2018, Seattle-based Amazon.com Inc. (Amazon), one of the world's most valuable companies and the largest online retailer in the world, had grown dramatically since its beginnings in 1994. The company that had started as an online bookseller now sold merchandise and digital content in more than 30 categories, including electronics, clothing, books, furniture, and streaming music and video. It sold its own products and listed products for sale by over two million third-party sellers. It provided on-demand cloud-computing services and offered fulfillment and shipping services to businesses, and it had recently entered grocery retailing through its purchase of Whole Foods Market. With 2017 shipping costs that exceeded $21 billion, the company was working to establish greater control over its supply chain network and capabilities. Amazon was selling a huge variety of products in many formats, and the chief executive officer needed to determine how to structure the company's supply chain in order to support its strategy and growth objectives. What supply chain capabilities would Amazon need as its business model continued to evolve?

Learning Objectives

This case can be used in an undergraduate or graduate course on operations management, supply chain management, logistics, business strategy, or marketing. After completing the case, students will be able to assess Amazon's supply chain, and identify its key competitive advantages; quantify Amazon's ability to generate value from its supply chain; identify potential opportunities and challenges for Amazon in improving its supply chain; and analyze the effects of the opportunities and challenges facing Amazon on its growth and evolution.

Jul 26, 2018 (Revised: Nov 11, 2021)

Discipline:

Operations Management

Geographies:

United States

Industries:

E-commerce industry, Telecom

Ivey Publishing

W18451-PDF-ENG

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Amazon ditched AI recruiting tool that favored men for technical jobs

Specialists had been building computer programs since 2014 to review résumés in an effort to automate the search process

Amazon’s machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

The team had been building computer programs since 2014 to review job applicants’ résumés, with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters.

Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions. The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars – much as shoppers rate products on Amazon, some of the people said.

“Everyone wanted this holy grail,” one of the people said. “They literally wanted it to be an engine where I’m going to give you 100 résumés, it will spit out the top five, and we’ll hire those.”

But by 2015, the company realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way.

That is because Amazon’s computer models were trained to vet applicants by observing patterns in résumés submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry.

In effect, Amazon’s system taught itself that male candidates were preferable. It penalized résumés that included the word “women’s”, as in “women’s chess club captain”. And it downgraded graduates of two all-women’s colleges, according to people familiar with the matter.

Amazon edited the programs to make them neutral to these particular terms. But that was no guarantee that the machines would not devise other ways of sorting candidates that could prove discriminatory, the people said.

The Seattle company ultimately disbanded the team by the start of last year because executives lost hope for the project, according to the people, who spoke on condition of anonymity. Amazon’s recruiters looked at the recommendations generated by the tool when searching for new hires, but never relied solely on those rankings, they said.

Amazon declined to comment on the recruiting engine or its challenges, but the company says it is committed to workplace diversity and equality.

The company’s experiment, which Reuters is first to report, offers a case study in the limitations of machine learning. It also serves as a lesson to the growing list of large companies including Hilton Worldwide Holdings and Goldman Sachs that are looking to automate portions of the hiring process.

Some 55% of US human resources managers said artificial intelligence, or AI, would be a regular part of their work within the next five years, according to a 2017 survey by talent software firm CareerBuilder.

Masculine language

Amazon’s experiment began at a pivotal moment for the world’s largest online retailer. Machine learning was gaining traction in the technology world, thanks to a surge in low-cost computing power. And Amazon’s Human Resources department was about to embark on a hiring spree; since June 2015, the company’s global headcount has more than tripled to 575,700 workers, regulatory filings show.

So it set up a team in Amazon’s Edinburgh engineering hub that grew to around a dozen people. Their goal was to develop AI that could rapidly crawl the web and spot candidates worth recruiting, the people familiar with the matter said.

The group created 500 computer models focused on specific job functions and locations. They taught each to recognize some 50,000 terms that were found on past candidates’ résumés. The algorithms learned to assign little significance to skills that were common across IT applicants, such as the ability to write various computer codes, the people said.

Instead, the technology favored candidates who described themselves using verbs more commonly found on male engineers’ resumes, such as “executed” and “captured”, one person said.

Gender bias was not the only issue. Problems with the data that underpinned the models’ judgments meant that unqualified candidates were often recommended for all manner of jobs, the people said. With the technology returning results almost at random, Amazon shut down the project, they said.

The problem or the cure?

Other companies are forging ahead, underscoring the eagerness of employers to harness AI for hiring.

Kevin Parker, chief executive of HireVue, a startup near Salt Lake City, said automation is helping companies look beyond the same recruiting networks upon which they have long relied. His firm analyzes candidates’ speech and facial expressions in video interviews to reduce reliance on résumés.

“You weren’t going back to the same old places; you weren’t going back to just Ivy League schools,” Parker said. His company’s customers include Unilever PLC and Hilton.

Goldman Sachs has created its own résumé analysis tool that tries to match candidates with the division where they would be the “best fit”, the company said.

LinkedIn, the world’s largest professional network, has gone further. It offers employers algorithmic rankings of candidates based on their fit for job postings on its site.

Still, John Jersin, vice-president of LinkedIn Talent Solutions, said the service is not a replacement for traditional recruiters.

“I certainly would not trust any AI system today to make a hiring decision on its own,” he said. “The technology is just not ready yet.”

Some activists say they are concerned about transparency in AI. The American Civil Liberties Union is currently challenging a law that allows criminal prosecution of researchers and journalists who test hiring websites’ algorithms for discrimination.

“We are increasingly focusing on algorithmic fairness as an issue,” said Rachel Goodman, a staff attorney with the Racial Justice Program at the ACLU. Still, Goodman and other critics of AI acknowledged it could be exceedingly difficult to sue an employer over automated hiring; job candidates might never know it was being used.

As for Amazon, the company managed to salvage some of what it learned from its failed AI experiment. It now uses a “much watered-down version” of the recruiting engine to help with some rudimentary chores, including culling duplicate candidate profiles from databases, one of the people familiar with the project said.

Another said a new team in Edinburgh has been formed to give automated employment screening another try, this time with a focus on diversity.

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Case study on Amazon’s approach to innovation and competition in the knowledge economy

Admin on 13/03/2020

Introduction

Amazon is generally regarded as one of the most innovative companies in the world (Reed, 2017). In considering how Amazon approaches innovation within the knowledge economy we’ll frame the analysis of new technologies by looking at McKinsey’s research on disruptive technologies that have potential for economic impact, how Amazon has approached innovation in each of these new technologies, and consider how innovation has impacted Amazon’s revenue growth.

Amazon’s approach to innovation

Since beginning in 1995 as an online bookstore Amazon has expanded into ecommerce marketplace, digital advertising, cloud computing, groceries and apparel, and artificial intelligence industries. Amazon’s investment strategy for innovation is to act like a growth investor, spreading it’s investments across a diverse range of sectors and industries. This is a markedly different strategy to other tech giants who choose to focus the majority of their innovation efforts within their core competencies e.g. Facebook with social networks and Apple with consumer electronic devices (Bowman, 2017).

Jeff Bezo, CEO of Amazon, explains, “Because of our emphasis on the long-term, we may make decisions and weigh tradeoffs differently than some companies… We will continue to make investment decisions in light of long-term market leadership considerations rather than short-term profitability considerations” (Bezos, 1997). It is through this approach to innovation that Amazon seeks to develop monopolies in all of the sectors that it enters.

McKinsey Global Institute’s report (Fig. 1) on disruptive technologies identifies “12 technologies that could drive truly massive economic transformations and disruptions in the coming years” (Manyika et al, 2013). Amazon is publicly investing in at least eight of the twelve technologies, through investing in companies that are working on new technologies, utilising the new technology to build organisational capacity and improve productivity, and through commercialising the new technologies in ways that enable Amazon’s business customers to implement within their companies.

Amazon is known for its secrecy around innovation, necessarily so in order to protect its trade secrets, but by looking at how Amazon approaches the six most impactful disruptive technologies we can gain an understanding of how Amazon approaches innovation.

Mobile Internet

“Increasingly inexpensive and capable mobile computing devices and Internet connectivity”

Amazon’s Kindle eReader, which launched in 2007, wasn’t the first eReader on the market but with it’s innovative WiFi hardware and Kindle Direct Publishing, the self-publishing platform, it enabled customers to have thousands of books available within seconds and authors to publish their writing without relying on the publishing industry (Fox Rubin, 2017). Whilst the design of the device was very similar to other eReaders, it was Amazon’s move to create its own ebook format and the Kindle Direct Publishing Network to allow ebooks to be published in its own format that fits with Amazon’s approach to innovation.

Whilst the majority of manufacturers were focused on developing eReader devices that could support .epub as the main format for ebooks, Amazon was instead establishing a core competency around its own format and publishing network. Developing the device was a complementary competency for Amazon, although one important enough for Amazon to ensure it controlled the device as part of the value chain for ebooks.

The digitization of books was a technological breakthrough which following Anderson and Tuishman’s evolutionary model of technological change, resulted in lots of technical variation in the formats available. Over the first decade the variations in formats reduced until the current situation of having two formats, epub and Amazon KIndle format, available. The ebook market hasn’t yet arrived at a single dominant design (Anderson & Tushman, 1990. Suárez & Utterback, 1995) however as Amazon currently dominates the eReader market with 60% of worldwide device sales in 2017 (Fox Rubin, 2017), only time will tell if the Amazon format for ebooks becomes the dominant design.

Automation of knowledge work

“Intelligent software systems that can perform knowledge-work tasks”

In 2018 Amazon “reorganised around Artificial Intelligence” (Morgan, 2018). This reorganisation focused other teams and departments at Amazon to utilise AI in their products and services, including warehouse management, recommendations on Amazon Music, Prime Video and on the ecommerce marketplace, Alexa and the Amazon Go store (Levy, 2018). This demonstrates Amazon’s approach to automating knowledge work. AI isn’t considered a single product that remains within a single team, it is a technology and capability that Amazon clearly regards as a core competency that should be utilised in as many ways as possible in order to give Amazon a competitive advantage in all of the sectors it operates in.

This is an example of what Tushman and Anderson explain when they say, “Technological innovation affects not only a given population, but also those populations within technologically interdependent communities” (Tushman & Anderson, 1986). Amazon leveraged the technological innovation of AI to gain benefits across all areas of its business, however it remains unclear whether this new technology was a competence-destroying because it required completely different skills and knowledge to operate or competence-enhancing because it built “on existing know how yet did not render skills obsolete” (Tushman and Anderson 1986).

Having realised the benefits Amazon went on to commercialise it’s AI by creating AutoGluon, a service that enables developers to build applications involving machine learning on top of AWS (Hepburn, 2020). “Commercial AI has enjoyed what we at Amazon call the flywheel effect: customer interactions with AI systems generate data; with more data, machine learning algorithms perform better, which leads to better customer experiences; better customer experiences drive more usage and engagement, which in turn generate more data.” (Sarikaya, 2019).

Internet of Things

“Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimisation”

The Amazon Dash, an internet-enabled button for making repeat purchases, was Amazon’s move into Internet of Things devices. On sale for less than four years the device fell foul of consumer protection laws in Germany, Amazon’s second biggest market at the time, where a court ruled that Amazon Dash didn’t provide customers with enough information to make informed purchases (Jagannathan, 2019). Although a regulatory and revenue-generating failure, the device may have been more of a success in establishing Amazon’s first-mover advantage into the market of consumer IoT devices and in collecting data on buying behaviour (Newman, 2016) to inform the next generation of devices.

Echo and Dot, the home speakers with the Alexa voice technology, soon replaced the Dash as a means of making purchases easier for consumers and as a means of collecting data on buying behaviour, data which could also be used to train the machine learning algorithms that powered Alexa. Voice-powered machine learning algorithms are intangible assets that require investment but have different economic characteristics to tangible assets (Haskell & Westlake, 2017):

• Sunk costs – represent an investment that is unlikely to deliver a return in the way a tangible asset would if resold as intangible assets are difficult to sell as they are often bespoke to the company developing them, as in the case of Alexa algorithms.
• Spillovers – are benefits competitors may gain from appropriating intangible assets such as the design of a device which is easy to reverse engineer. Amazon’s defense is to focus more on things that are difficult to copy such as bespoke algorithms.
• Scalability – a characteristic of an intangible asset that can be leveraged in ways that tangible assets cannot without increased investment, such as the Alexa algorithm which works on all Alexa powered devices, but also the ‘brand’ of Alexa as a likeable, humanised, ‘part of the family’ voice assistant in comparison to Google choice to call its voice assistant Google.
• Synergies – occur when intangible assets become more valuable together than in isolation. Alexa has more value because it connects to Amazon’s ecommerce systems and allows customers to make purchases, and because Amazon allows developers to build other services on top of the Amazon ecosystem that enables customers to control the heating and lighting in their homes.

Amazon’s approach to investing more in its intangible assets, such as algorithms, than in the physical devices seems to suggest that they recognise the competitive advantage intangible assets can give them a over other companies, but also that they recognise the risks Haskell and Westlake point out can be associated with this kind of investment (Haskell & Westlake, 2017). The economic value of intangible assets in the case of Alexa comes from strategic choices about how they are leveraged to drive purchasing behaviour in customers.

“Use of computer hardware and software resources to deliver services of the Internet ”

Amazon Web Services is a leading (Gartner, 2018) infrastructure-as-a-service provider. Gartner calls out AWS’ “prioritisation of being first to market” along with being the “most mature enterprise-ready provider, with the strongest track record of customer success” as key aspects of being a leading cloud provider (Bala, et al, 2018). AWS started from the needs of Amazon’s ecommerce business, which required reliable, scalable technology to power its growth in the early 2000’s. By 2003, providing infrastructure services and reliable, scalable data-centers was considered a core competency by Bezos and Amazon senior executives. When Amazon launched AWS in 2006 they were “first to market with a modern cloud infrastructure” (Miller, 2016). AWS holds 40% of the market share in cloud computing (Carey, 2019), a position it gained by building on core competencies it owned in other areas of its business and being years ahead of competitors (Miller, 2016).

Teece talks about the ‘perplexing’ problem of how many companies who are first to market with an innovation are not the ones to commercialise and profit from it. With AWS, Amazon demonstrated that it’s approach to innovation can deliver on significant commercial success. Teece’s framework for determining which company will win from introducing innovation involves understanding the appropriability; the environmental factors that affect the ability to capture profits from an innovation, the design phase; whether a dominant design has emerged, and the competencies necessary for the commercialisation of the innovation.

In the early 2000s, cloud infrastructure services had what Teece describes as a “tight appropriability regime” (Teece, 1986). The environments in which the technology for providing infrastructure services over the internet existed was easy to protect simply because competitors were not yet building their core competencies in cloud. Having a “tight appropriability regime” for cloud services gave AWS the time it needed to launch its products and services before the regime weakened and other entrants could imitate the technology.

At the time of launching AWS, cloud infrastructure services were pre-paradigmatic, the majority of infrastructure providers weren’t even considering cloud, so there was no dominant design. Teece says that, “when imitation is possible and occurs coupled with design modification before the emergence of a dominant design, followers have a good chance of having their modified product anointed as the industry standard, often to the great disadvantage of the innovator.” (Teece, 1986), but this did not happen to Amazon.

Amazon already owned the complementary assets required to commercialise AWS successfully (procurement, marketing, sales, etc.) which removed any bargaining power issues that may have arisen from contracting assets, and put AWS in a good position to quickly establish the dominant design for cloud infrastructure services and so leverage its position as a first-to-market pre-paradigmatic innovator and as a paradigmatic market leader.

Advanced robotics

“Increasingly capable robots with enhanced sensors, dexterity, and intelligence; used to automate many tasks”

In 2012, Amazon acquired Kiva Systems, a small robotics company for $775 million providing Amazon with mobile robots and the technical expertise to begin automating its warehouses and sorting facilities. (Del Rey, 2019). This automation of the work of pickers and packers enabled Amazon to increase efficiency in its warehouse operations by reducing the time taken to pick items for delivery to its customers (Simon, 2019), and so driving the success of its ecommerce business. In 2019 Amazon introduced machines to automate putting customer orders into boxes ready for delivery, a job that was previously performed by thousands of workers. It “would amount to more than 1,300 cuts across 55 U.S. fulfillment centers for standard-sized inventory. Amazon would expect to recover the costs in under two years, at $1 million per machine plus operational expenses.”, reported Reuters (Dastin, 2019). Amazon currently has more than 200,000 mobile robots working inside its warehouse network, alongside hundreds of thousands of human workers.

Amazon, as a low margin business, seeks to organise its supply chain more effectively than its competitors to maximise profits (Teece, 1986). Automation increasingly allows for this in Amazon’s fulfilment business as it replaces the routine work (Autor, Levy & Murnane, 2003) of pickers and packers. In making capital investments in technologies to replace workers with robots Amazon could be said to be taking a skills-biased approach; that is, that it favours more highly skilled workers such as programmers, engineers and mechanics at the cost of lower skilled workers and assumes thats increased productivity for the company comes from fewer highly skilled workers over more lower skilled workers. Ordinarily we would expect that companies would make decisions about how much to invest in automation technologies by considering economic factors such as the cost of labour in a particular geographic market however, from what we’ve seen of Amazon’s investment strategy in innovation it seems more likely that Amazon is playing the long game with automation and betting on machines being capable of performing non-routine cognitive and manual tasks in the future (Frey & Osborne 2013) and so replacing lower skilled workers completely.

The adoption of automation in warehouses and fulfilment centres has been congruent with Amazon’s approach to innovation involving massive investment in technology that provides increased internal capabilities enabling Amazon to become a market leader and then selling that capability to businesses to deliver long term revenue gains. The question of whether robots will replace workers, at least in Amazon warehouses, seems to have an inevitable answer.

Autonomous or near-autonomous vehicles

“Vehicles that can navigate and operate autonomously or semi autonomously in many situations”

Amazon has invested $700 million in Rivian, the electric vehicle manufacturer and $530 million in Aurora, an autonomous driving startup. “For Amazon, this small investment is a good way to enlarge their bet on the E.V. [electric vehicle] market without having to tool up a plant to find out if it will fly. Over time, the Rivian investment could give Amazon a starting point to own and operate an in-house package delivery business.” (Mitchell, 2019).

Amazon has been developing delivery drones “that can fly up to 15 miles and deliver packages under five pounds to customers in less than 30 minutes.” (Vincent, 2019). Developing delivery drones and getting FAA approval might be considered a big enough innovation for most companies, but Amazon goes a huge step further by developing its own Air Traffic Control System for drones. “The system also gives aviation authorities, like the FAA, the ability to track the drones in the airspace to ensure safety and create “no fly zones” in times of emergency. The traffic management system is easy to use for various operators in the same airspace because it will connect via the internet” (Amazon, 2019). In a similar strategic play to the Kindle, Amazon realises that controlling the platform that controls the devices creates considerable more competitive advantage than simply developing the best drones.

Developing drones and autonomous electric vehicles will reduce Amazon’s reliance on third-party delivery partners and own the supply chain (Prosser, 2019), and conceivably it could commercialise the service to compete with FedEx, UPS, etc., and thus drive increased revenue for the company, but in order to do so it needs to protect the design of the drones and vehicles from competitors. Archibugi & Pianta explain that, “technological change impinges on codified and tacit knowledge… innovations can either be embodied in capital goods and products or disembodied, i.e. the know-how included in patents” (Archibugi & Pianta, 1996). As it is almost impossible to protect designs for publicly available machines like drones through trade secrets in the way Amazon does for its software and algorithms, Amazon needs to file patents to protect its disembodied codified knowledge in order to continue to be innovative.

In 2019 Amazon filed over two thousand patents (Capriel, 2019) many for drones and autonomous vehicles, and since 2010 Amazon has grown its patent portfolio from less than 1,000 active patents in 2010 to nearly 10,000 in 2019 (Columbus, 2019), a ten-fold increase in less than a decade (Fig. 2).

Patents can be used strategically by companies in a number of ways; to protect inventions with the intention of commercialising them, or simply to prevent competitors from entering the space. This makes the number of patents filed a poor indicator of innovation, and so it seems that the number of patents Amazon has filed has increased over time because they have become involved in more sectors and industries rather than because they have become more innovative.

Amazon’s sources of competitive advantage

These six examples demonstrate Amazon’s superior ability over its competitors and how they employ the same approach towards innovation; not constrained to sectors or industries that they have previously operated in, investing huge amounts to own the sector they move into, building core competencies in their value chain to protect their own competitiveness, and making new technologies available outside their own ecosystem to allow their customers to leverage the technology in ways that support and scale Amazon’s business model, in many cases the customer becoming reliant on Amazon in their value chain, for example Netflix using AWS (Uenlue, 2018).

Amazon’s economic growth from innovation

Amazon’s approach to innovating across multiple sectors and industries has given them significant competitive advantage and commercial success, growing from $6.92 billion in 2004 to $280.52 bn in 2019 (Clement, 2020), an almost 4000% increase.

The breakdown of Amazon’s commercial performance by it’s main areas of business in 2018 shows it’s longstanding ecommerce business as the main revenue producing business (Day & Gu, 2019):

• Ecommerce: $234.61 bn sales
• Cloud computing: $25.6 bn in revenue
• Groceries: $25.4 bn in sales
• Online apparel: $24.61 bn in sales
• Consumables: $23.6 bn in sales
• Digital advertising: $7.4 bn in revenue

Of the six disruptive innovations discussed above, only cloud computing, where Amazon is the market leader, generates significant income. This reflects Amazon’s approach to innovation involving long-term investment to establish commercial success.

Amazon has earned its reputation as one of the most innovative companies in the world. Amazon’s approach innovation can be broadly summed up in three parts:

• Large investments and acquisitions in software and hardware startups spread across multiple sectors and industries. This puts Amazon in control of the value chain and reduces the risk of suppliers holding strong bargaining positions.
• Use the technology that is produced to develop efficiency and productivity gains in products and services in a diverse range of sectors and ensure competitive advantage over the long term.
• Commercialise those products and services, allowing other companies to leverage them, generating revenue and creating lock-in network effects (Katz & Shapiro, 1994) for those companies and Amazon’s customers.

This approach to innovation has enabled Amazon to develop significantly successful businesses in ecommerce, cloud computing, digital advertising and retail, and is likely to contribute to Amazon’s continued success into the future.

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Whole Foods Under Amazon

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Whole Foods under Amazon

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Amazon.com: Supply Chain Management

About This Product

Learning objectives.

• assess Amazon’s supply chain, and identify its key competitive advantages;
• quantify Amazon’s ability to generate value from its supply chain;
• identify potential opportunities and challenges for Amazon in improving its supply chain; and
• analyze the effects of the opportunities and challenges facing Amazon on its growth and evolution.
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Amazon Case Study: Natura’s Supply Chain

Founded 1969

Annual revenue $ 6.6 billion (2020)

Jobs Created 7,000 families in 33 communities work directly with Natura, supplying oils, seeds and other components used in cosmetics and personal care products

Global market for cosmetics and personal care products $530 billion (2018) Global market for organic cosmetics and personal care products $35 billion (2018)

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Natura’s Supply Chain

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This article is part of  AQ ’s  special report  on sustainable development of the Amazon.

Place the words “sustainable business” and “Amazon” together and the word Natura is likely to follow. A global conglomerate that includes Avon, Aesop and The Body Shop, Natura began betting on biodiversity in the 1990s, before its expansion outside of Brazil. But incorporating forest components into its product lines and finding suppliers in the Amazon was no simple task. “Hiring local experts from the beginning helped them structure a supply chain that simply didn’t exist before,” INSPER business school professor Leandro Pongeluppe told AQ .

The use of Amazon compounds — grown or collected by hand by local communities — also made Natura’s products more expensive than those of their competitors. But their risk paid off. Consumers are paying more for environmentally friendly products, and investors have taken notice: Since going public in 2004, Natura’s stock has risen by more than 4,000%.

Today, some 17% of Natura’s components are sourced from the Amazon, including ucuuba seeds, murumuru almonds and andiroba oil, according to Luciana Villa, Natura’s sustainability manager. Their impact goes beyond economic support for locals. “They pay suppliers for components, but also for carbon captures and royalties for their traditional knowledge, which gives locals strong incentives to protect the forest,” Pongeluppe told AQ . Comparing historical data for Natura-linked communities and similar areas without such incentives, Pongeluppe calculates the company has helped preserve almost 4.5 million acres (1.8 million hectares) of forest. “In perspective, that’s 1.7 million soccer fields standing because of this business model,” he said.

Yet, despite its success, other large-scale companies have yet to follow suit in investing the time and effort needed to work with forest dwellers as suppliers. “Natura, like Danone , may still be a unique case in terms of embedding social and environmental concern into its business model, but business leaders will have to change their minds soon,” said Pongeluppe. “Otherwise, they will lose competitiveness. And it will happen sooner than they may think.”

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Amazon Dealt $525 Million Jury Verdict Over Cloud Tech Patents

By Isaiah Poritz

Amazon.com Inc. must pay $525 million to software firm Kove IO Inc. for infringing three patents covering distributed cloud storage technology, an Illinois federal jury found Wednesday.

The final judgment said the infringement was not willful, and dismissed Amazon’s counterclaims asserting non-infringement, invalidity, and unpatentability. The three patents cover breakthrough technology that efficiently identifies the multiple servers that store a particular data file in the cloud, Kove said.

The 2018 lawsuit from Chicago-based Kove in the US District Court for the Northern District of Illinois said Amazon Web Service cloud data storage products are built on Kove’s patented technology for scalable cloud systems.

“The ability to offer cloud services on this scope and scale was made possible through infringement of Kove’s patents, paving the way for AWS to become what is believed to be Amazon’s largest profit center,” the complaint said.

The lawsuit pointed to a pair of infringing AWS products: Amazon Simple Storage Service, which allows scalable internet data storage, and DynamoDB, a managed database service.

Reichman Jorgensen Lehman & Feldberg LLP, Bryan Cave Leighton Paisner LLP, and MZF Law Firm PLLC represent Kove. Fisch Sigler LLP represents Amazon.

The case is Kove IO Inc. v. Amazon Web Services Inc. , N.D. Ill., No. 1:18-cv-08175, 4/10/24.

To contact the reporter on this story: Isaiah Poritz in Washington at [email protected]

To contact the editor responsible for this story: Kartikay Mehrotra at [email protected]

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Amazon Business Case Study [2024]: In-depth Analysis

How does an online book retailer become a behemoth dominating the global e-commerce industry? The 28-year-old history of Amazon’s growth is a masterclass in building a successful business strategy that has revolutionised the retail experience forever! The company has achieved eponymous status with a global presence and diversified business. No wonder its sales are expected to reach an astounding USD 746.22 billion with a valuation of USD 2 trillion in 2024! From being an online bookseller headquartered in a garage to becoming the second most valuable brand in the world , the saga of this global brand is a case study in all the leading business schools.  

So what is the secret behind the explosive success of Amazon? This article provides a comprehensive case study of Amazon and its winning business strategy. 

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Glimpsing Back: A Brief History of Amazon

With a small team, the budding company made headway in the book-selling market by offering a wide virtual selection of books compared to brick-and-mortar stores with doorstep delivery. With a user-friendly interface, easy-to-search engine, and focus on creating a ‘virtual community,’ the business grew by leaps and bounds. The emphasis on customer choice, experience, and convenience serves the company well even today. 

The name was aspirational with a nod to the largest river in the world- Bezos’ Amazon sought to be the largest e-commerce bookseller in the world. By July 1995, Amazon was marketing itself as the “Earth’s Biggest Bookstore,” selling over one million titles to all 50 states in the US and across 45 countries . It provided stiff competition to brick-and-mortar giants like Barnes and Noble and Borders. 

The company went public with its IPO in 1997 ; since then, there has been no looking back. Since its listing, the company has significantly diversified its offering by including music, electronics, toys, kitchen utensils, clothes, and more on its e-commerce site. From the Earth’s Biggest Bookstore, Amazon shifted its tagline to “Books, Music and More.” The company expanded to Germany and the United Kingdom by purchasing online bookstores, thus increasing its revenue. At its core, the company established a dynamic, efficient, and successful distribution and logistical model that helped capture a global market.

The year 1999 marked two critical moments for Amazon. First, the company patents the “1-Click” technology allowing users to purchase a product with one click. Second, it launches the 3rd party seller marketplace to allow third-party sellers to sell their produce through Amazon. These measures exponentially increased the sales on the platform. The company’s success put Bezos on the map as he received the prestigious accolade of the “Time’s Person of the Year” in 1999 at 35 years of age. 

The company survived the dot-com bubble burst and got only stronger. In 2003, the company took a momentous step by launching Amazon Web Services , a web-hosting business, that marked its arrival into the tech business. It provides cloud computing services to individual developers, companies, and governments through the platform’s IT infrastructure. The strategic shift from an e-commerce platform to a tech company was instrumental in Amazon’s diversification strategy and revenue generation. 

The company took further measures to develop brand loyalty through its Amazon Prime program in 2005. Prime membership has since expanded its services significantly and is one of the most valuable assets for the company today. It reshaped consumer expectations and experiences of shopping across the world. 

Amazon has been on a path of extensive acquisition and alliance . From the online shoe retailer Zappos to the robotics company Kiva Systems and the grocery delivery service Whole Foods- each acquisition captured pre-existing markets and distribution networks of the acquired assets. With every move, the company strategically entered new markets, removed competitive businesses by acquiring them, made distribution and logistics more efficient, and improved consumer experience. These moves catapulted the company to a 1 trillion dollar valuation in 2018. The company’s profits surged during the pandemic as Bezos’ hourly wealth increased by USD 11.7 million . The following year, Bezos stepped down as the CEO and found his replacement in Andy Jassy, the CEO of Amazon Web Services.

Now that we know the history of Amazon, its business strategy becomes easier to decipher. Before we unravel its key business strategies, let’s look at its many businesses. 

Amazon and its Diversified Business Model

A case study of Amazon is incomplete without an understanding of the many businesses that it has a foot in. Here are the diverse businesses that help Amazon generate revenues from multiple streams and have made it a leader in the global market. 

Online retail store

Amazon began as an online seller of books, and it continues its operations as an e-commerce site. Today the site offers a variety of products for the best prices to the consumer’s doorsteps. With an easy-to-use interface, easy return policy, “1-Click” buying, customer reviews, and suggestions, the e-commerce site knits an unrivalled retail experience. 

Amazon Marketplace

Amazon opened its platform to third-party sellers who could leverage its large customer base to sell products. It brings a diversity of products to the retailer without holding inventory. Amazon would, in turn, charge the sellers a percentage of their revenue as a commission fee. It is estimated that third-party sellers generate a gross merchandise value (GMV) of USD 300 billion for the platform.

Amazon Web Services (AWS)

Amazon’s cloud platform offers individual developers, start-ups, established businesses, and governments a range of cloud computing services through its IT infrastructure. It is the fastest-growing business segment for the brand clocking a global net revenue of USD 80.1 billion in 2022. 

Amazon Prime

Amazon’s member subscription service offers numerous membership benefits ranging from access to digital video and music streaming, audiobook and ebook platforms, free delivery, exclusive deals, Prime Day access, and much more. The company’s global net revenue from its subscription services stood at USD 35.22 billion in 2022. 

Amazon revealed in 2022 that the advertising wing of the company had generated a revenue of USD 31.2 billion the preceding year. The company offers custom advertising solutions to customers and campaign placements across multiple channels like Fire TV placements, Amazon physical stores, the brand’s homepage, and customised destination pages.

Physical stores

Amazon made an entry into the brick-and-mortar business with the establishment of a physical bookstore in Seattle in 2015. The company has since expanded its physical presence with Amazon Go, Amazon Fresh, Amazon Go Grocery, Whole Foods Market, and Amazon Style. It has sought to transform the real-world shopping experience with its “Just Walk Out Shopping’ experience. 

Breaking Down Amazon’s Business Strategy

Amazon’s business strategy has been innovative and forward-thinking from the get-go. Its path-breaking business model has inspired many but retains its uniqueness in execution. At its core, the company has maintained its customer-centric ethos, where its customers comprise three sets: retail customers, seller customers, and developer customers.   

For a comprehensive case study of Amazon , let’s take a closer look at the secret recipe behind its success.

Customer Obsession

The company proudly proclaims that it aims to be the “Earth’s most customer-centric company.” Since its inception, Amazon has won over the trust and loyalty of its customers by perfecting its marketing mix by offering “a comprehensive selection of products, low prices, fast and free delivery, easy-to-use functionality, and timely customer service.”   As Amazon’s customer base and usage expands exponentially, the company has worked towards optimising user experience through continuous assessment and feedback mechanisms.

Diversification

Amazon has kept up with the emerging demands of the market with growth potential in the long term. Its future-oriented vision has helped the company grow by leaps and bounds by venturing into new businesses that have added to its revenue streams. From cloud computing services to OTT services and subscription-based benefits, Amazon has reinvented what a diversified business looks like. 

Expansion through partnerships and acquisitions

Amazon has continually acquired and partnered with businesses to expand its customer base, enter new markets, diversify its product offerings, eliminate competition, and gain distribution and logistical networks. From IMDB and The Washington Post to Twitch and Pillpack, Amazon has bought companies across multiple categories to gain a foothold in their markets and operations. It has helped the company scale up its functions rapidly across the globe.

Technologically-driven innovations

Initially, Amazon was written off as it was started by “computer guys” who knew nothing about selling books. However, it was a focus on innovative technology that the company grew into a tech giant dominating the e-commerce space. Whether it is the 1-Click technology, SEO, user interface, cloud computing services, Just Walk Out technology, or its e-devices, the company has optimised customer experience by leveraging technology.

Data-based metrics

Amazon has consistently relied on metrics to assess, strategise, and grow its business. Data is an invaluable currency left behind with every click by the customer. The company has effectively and efficiently amassed these data into actionable insights to improve user experience, build and improve products and services, and develop successful marketing strategies. 

Marketing strategy

A comprehensive marketing strategy has been central to Amazon’s brand-building exercise. With the right marketing mix, the brand has become a household name. Its name and logo are recognisable anywhere in the world. A continual push to diversify its portfolio, competitive pricing policy, expanding its operations, and consistent promotions through multiple channels have been integral to achieving this global status. 

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Amazon, the second-most valuable company in the world, has been almost three decades in the making. Every step and misstep has been strategic and guided by the principles of: “customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.” This case study of Amazon has sought to highlight its history, business model, and business strategies that have gone into the making of the behemoth. Ultimately, the company is a product of the management of Jeff Bezos and Amazon’s leadership. 

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Frequently Asked Questions (FAQs)

Jeff Bezos has held the position of Founder and CEO of the company. However, he inherited the position of the Executive Chairman of Amazon after resigning as the CEO of the company in 2021.

Amazon launched in India in June 2013. Initially starting its operations to serve Indians with books, films, TV shows and subscription-based services, the company further expanded its wings to become one of the leading shopping destinations for Indians.

The most important focal point of Amazon’s business strategy is its customers (retail customers, sellers, and developers) and building a customer-centric company.

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