Business
Amazon Starfish: Using AI to Create Ultimate Source of Product Info
Amazon has a new ambition for its giant online marketplace, and it’s using generative AI to execute the vision.
The company is already the largest e-commerce platform in the Western world, selling millions of products itself and supporting millions of third-party merchants who offer even more items through the platform and its warehouse and logistics network.
That’s not enough for Amazon, though. Recently, the company has been expanding its marketplace in new ways. This year, for example, Amazon launched a “Buy for Me” feature that recommends products from other brands’ websites and lets shoppers buy those from within the Amazon app.
An internal planning document obtained by Business Insider sheds new light on how Amazon is using AI to help these endeavors.
The document, from late 2024, describes a project, codenamed Starfish, that uses AI models to “synthesize” information from various data sources, such as external websites and images. It then generates “complete, correct, and consistent product information globally.”
The eventual goal of the multiyear project is to make Amazon the best source of product information for “all products worldwide,” the document added.
More listings, less time
Starfish is part of an effort to simplify product listings for third-party sellers. Amazon began rolling out elements of this in 2023 to help merchants craft stronger product descriptions from short inputs or individual URLs. It also introduced AI tools that automatically generate product images and video ads.
“Starfish enriches product data using LLM, improves Catalog at scale by filling missing information, correcting errors, rewriting titles, bullet points, and product descriptions to make them more relevant for the customer,” the document explained.
In recent years, the company has stepped up efforts to improve its listing quality, removing billions of inactive or non-selling products from its marketplace, BI previously reported.
A $7.5 billion boost
Generating more product listings and making them accurate and compelling can potentially increase sales, which is crucial for Amazon’s e-commerce business to keep growing.
Manually creating listings is time-consuming for sellers, so speeding up this process could be a win-win for Amazon and its merchants.
Amazon’s internal document estimated that Starfish would contribute $7.5 billion in extra gross merchandise sales in 2025, thanks in part to driving better conversions and building a broader product selection.
GMS measures the total value of all items sold through the company’s e-commerce platform. $7.5 billion is a lot of sales, however, Amazon generates hundreds of billions of dollars in annual revenue from its Marketplace business.
Broader ambitions
Indeed, the internal document shows the Starfish initiative has much broader ambitions. Turning Amazon’s Marketplace into the top global source of all product information is a goal that puts the company on a track to potentially compete more with Google’s Shopping service.
One day, Starfish could scour the global web to collect mountains of data that would help the AI system auto-fill product descriptions by itself.
According to the internal planning document from late 2024, the new AI tool was expected to collect product information from 200,000 external brand websites this year by “crawling, scraping, and mapping external items to Amazon catalog.”
Many Big Tech and AI companies have bots that crawl the internet to scrape, collect, and index data from websites. Mapping is the process of organizing and displaying the extracted information. Amazon has its own crawler, called Amazonbot.
The company says on the Amazonbot webpage that this crawler collects information “to improve our services, such as enabling Alexa to more accurately answer questions for customers.”
It’s unclear if this bot is being put to work on the Starfish project, or whether the crawling and scraping parts of this initiative are still in the works.
An Amazon spokesperson declined to comment on this part of the project, but shared other details with BI in a statement.
The spokesperson confirmed that Starfish is mapping data for certain features, such as the new “Buy for Me” recommendation system for external products.
“Amazon is continuously leveraging generative AI to enhance the customer and seller experience,” the spokesperson added. “This feature improves descriptions of products in our catalog for sellers, ultimately helping customers find the products they want and need.”
To measure Starfish’s effectiveness, Amazon is running A/B tests, internally comparing the sales of products that received AI enrichment and those that haven’t, according to the internal document. Amazon has also built a new bulk listing feature and plans to expand Starfish to additional countries later this year, it explained.
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Business
EU unveils AI code of practice to help businesses comply with bloc’s rules
By KELVIN CHAN, Associated Press Business Writer
LONDON (AP) — The European Union on Thursday released a code of practice on general purpose artificial intelligence to help thousands of businesses in the 27-nation bloc using the technology comply with the bloc’s landmark AI rule book.
The EU code is voluntary and complements the EU’s AI Act, a comprehensive set of regulations that was approved last year and is taking effect in phases.
The code focuses on three areas: transparency requirements for providers of AI models that are looking to integrate them into their products; copyright protections; and safety and security of the most advanced AI systems
The AI Act’s rules on general purpose artificial intelligence are set to take force on Aug. 2. The bloc’s AI Office, under its executive Commission, won’t start enforcing them for at least a year.
General purpose AI, exemplified by chatbots like OpenAI’s ChatGPT, can do many different tasks and underpin many of the AI systems that companies are using across the EU.
Under the AI Act, uses of artificial intelligence face different levels of scrutiny depending on the level of risk they pose, with some uses deemed unacceptable banned entirely. Violations could draw fines of up to 35 million euros ($41 million), or 7% of a company’s global revenue.
Some Big Tech companies such as Meta have resisted the regulations, saying they’re unworkable, and U.S. Vice President JD Vance, speaking at a Paris summit in February, criticized “excessive regulation” of AI, warning it could kill “a transformative industry just as it’s taking off.”
More recently, more than 40 European companies, including Airbus, Mercedes-Benz, Philips and French AI startup Mistral, urged the bloc in an open letter to postpone the regulations for two years. They say more time is needed to simplify “unclear, overlapping and increasingly complex EU regulations” that put the continent’s competitiveness in the global AI race at risk.
There was no sign that Brussels was prepared to stop the clock.
“Today’s publication of the final version of the Code of Practice for general-purpose AI marks an important step in making the most advanced AI models available in Europe not only innovative but also safe and transparent,” the commission’s executive vice president for tech sovereignty, security and democracy, Henna Virkkunen, said in a news release.
Originally Published:
Business
AI/R Company Launches AI-Powered Platform to Streamline Corporate Hiring Processes
With AI/Quick-Match, the AI agent Llia cuts hiring costs by up to 80% and reduces time-to-hire by up to threefold
SAN FRANCISCO, July 10, 2025 (GLOBE NEWSWIRE) — AI Revolution Company (AI/R), a global leader in AI-driven business transformation, has announced the launch of Llia, its next-generation AI agent. Through its flagship product AI/Quick-Match, Llia delivers data-driven hiring decisions, helping companies make smarter, faster, and more cost-effective recruitment choices.
Designed as a “plug-and-play” solution, AI/Quick-Match seamlessly integrates with existing recruitment tools to accelerate hiring, reduce expenses, and ensure better candidate matches. The platform enhances HR teams by aligning talent profiles with organizational needs, automating candidate screening, conducting technical and behavioral interviews, and providing in-depth analytics-transforming the recruitment process from end to end.
“Automating interviews saves recruiters valuable time and delivers more accurate evaluations. With AI-driven insights and data-backed feedback, companies can make more confident hiring decisions. In fact, AI/Quick-Match has been shown to reduce recruitment costs by up to 80% and accelerate the hiring process by up to three times,” explains Maycon Zamunaro, CTO of Invillia, the AI/R company behind the platform. In just one month since its launch, the tool has powered over 1,000 interviews and led to approximately 100 successful hires.
Llia was created to be a natural extension of human teams-an AI agent that connects data, intelligence, and knowledge to support better decision-making and empower organizations.
Soon, three more products will be added to the Llia suite: AI/Team-Management, AI/Onboarding&Training, and AI/Performance-Review, enabling the platform to support every stage of the organizational lifecycle.
According to Alexis Rockenbach, Global CEO of AI/R Company, Llia is redefining how companies approach recruitment and talent management. “Its integrated and highly customizable products allow it to operate across all phases of the employee journey: attraction, retention, management, and development. Llia isn’t just an assistant-it’s a strategic pillar for scaling people and teams,” he states.
About AI/R
AI/R, headquartered in California, is an Agentic AI Software Engineering company that leverages its powerful ecosystem of proprietary AI platforms and hyper-specialized tech brands to drive the global enterprise revolution. Through its proprietary AI platforms and strategic partner platforms, AI/R is reshaping industries and setting new standards for business innovation and productivity. By embedding AI into every aspect of its operations, AI/R’s mission is to make the AI revolution a revolution for everyone, empowering human talent and raising the bar for digital transformation. Let’s breathe in the future.
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Milena Buarque Lopes Bandeira
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