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Is AI The Future Of Retail?

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Is AI The Future Of Retail?,Startup Stories,Technology Latest News 2019,Future of Retail,artificial intelligence retail solutions,AI in Retail,AI in Retail 2019,Benefits of AI in Retail,AI Future,Artificial Intelligence Retail,World Biggest Retailers,AI Retail Sector

Artificial Intelligence (AI) is slowly becoming a key element in the modern, technologically driven world.  Along with other industries, AI is also making its presence known in the retail industry. 

Artificial intelligence is used to define the intelligence demonstrated by machines.  Through AI, machines can store data from previous experiences, adjust to new inputs and can also perform human like tasks.  By combining large sets of data, iterative processing and detailed algorithms, AI is able to learn quickly from patterned data.  AI can become a crucial part of retail business, if integrated properly. 

AI can be beneficial when it comes to daily task management and gaining insights about customers.  Using AI in retail stores can also contribute to time management for business owners as well. This could also help in customizing the shopping experience of customers all the while creating a better business due to customer interaction.  This, inturn, helps the business gain more customer insights.

Moreover, using such technology in the retail industry will leave less room for errors.  It will also help owners keep tabs on shoplifting as every item will have a record in the store database.  AI operated retails would be able to work 24*7 without any manpower, resulting in more profits for retail businesses.

Even though AI supported retail stores are still far away, two of the world’s biggest retailers, Amazon and Walmart, already introduced stores which are entirely AI dependent. 

In 2018, Amazon announced a chain of convenience stores named Amazon Go, which are partly automated.  The stores use several different technologies like computer vision, deep learning algorithms and sensor fusion.  The ceilings of the stores are equipped with multiple cameras and the store shelves have weight sensors attached to them.  These weight sensors help in the detection of the items taken by a customer and the item is automatically added to the customer’s virtual cart.  Introduced on January 22nd 2018, Amazon Go has 18 outlets in the United States.

Meanwhile, Walmart, in April 2019, introduced its Intelligent Retail Lab (IRL.)  Based in New York, this store comes equipped with artificial intelligence cameras, interactive displays and massive data centers.  This store is also used by Walmart as a lab to explore the future use of AI in the retail industry. 

While AI operated stores are beneficial to everyone, the cost behind such a project can be a real nightmare.  Implementing high tech devices can be expensive, especially for small businesses and also increases dependency on machines.  However, the benefits of this technology are much higher, to be ignored completely.

Incorporating artificial intelligence into the retail sector may sound like science fiction.  However, the efforts put in by these giant retailers and the advancement of technology mean AI operated retail shops will be a part of our future.

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Meet the 13 Deeptech Startups Empowered by BIGShift Accelerator in India

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India’s deeptech ecosystem has reached a significant milestone with the launch of BIGShift, a premier accelerator programme by Inc42 and India Accelerator designed to empower early-stage startups developing breakthrough technologies. The first cohort comprises 13 innovative startups addressing complex challenges in fields such as artificial intelligence, aerospace, robotics, healthcare, and geospatial analytics. These startups benefitted from specialized capital-readiness training, strategic mentorship, and direct access to investors interested in supporting high-risk, high-reward deeptech ventures, making BIGShift a crucial platform for nurturing India’s next-generation technology leaders.

The accelerator programme uniquely combines virtual bootcamp sessions with a comprehensive two-day in-person masterclass, equipping startups with advanced go-to-market strategies, funding expertise, and a valuable network of experienced operator-mentors. Noteworthy startups from the cohort include ActionSync, focused on enterprise data unification; Polygon Geospatial, delivering AI-powered real-time spatial analytics; Purna AI, which innovates in preventive health through genetic biomarkers; Spacetaxi, pursuing reusable commercial rockets; and VertiFly, specializing in hybrid eVTOL aerial mobility solutions. This diverse group exemplifies the ingenuity and pioneering spirit of Indian deeptech entrepreneurship across multiple high-impact sectors.

BIGShift’s inaugural cohort not only accelerates technological development but also provides critical support mechanisms like pilot project matchmaking, regulatory guidance, and facilitating enterprise collaborations. As these 13 startups transition their groundbreaking solutions from the lab to the marketplace, BIGShift is poised to be a catalyst for deeptech innovation in India, helping transform scientific research into scalable, impactful businesses that will shape the country’s technological future.

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Tim Cook: Apple Posts Record India Growth in iPhone, Mac & Services

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Apple CEO Tim Cook revealed that Apple closed the June quarter with record revenue in over two dozen markets, driven by double-digit growth in India across iPhone, Mac and Services. During April–June, iPhone sales in India jumped 13.4% year-on-year, Mac revenue rose 15%, and Services revenue climbed 13%, each marking an all-time quarterly high. Cook emphasized that “we saw iPhone growth in every geographic segment and double-digit growth in emerging markets including India, the Middle East, South Asia, and Brazil.”

India’s strategic importance extends beyond sales into Apple’s supply chain: 71% of iPhones sold in the U.S. now carry “Country of Origin: India,” up from 31% a year ago. This shift underscores Apple’s diversification strategy and its deepening manufacturing partnerships with Foxconn, Pegatron, and Tata Electronics. Cook noted that India has become a “major manufacturing base” for iPhones destined for global markets, reducing reliance on a single region and enhancing supply stability.

Looking forward, Apple plans to open new retail stores in India later this year, bolstering its direct-to-consumer presence and capitalizing on the world’s fastest-growing smartphone market. Despite incurring approximately $800 million in tariff costs during the quarter, Cook affirmed that India’s market potential and manufacturing advantages remain “key pillars of our global strategy” as Apple accelerates its expansion across the subcontinent.

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Microsoft Hits $4 Trillion Milestone Driven by AI and Cloud Growth

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Microsoft vaulted past the $4 trillion market-capitalization milestone on July 31, becoming only the second U.S. company after Nvidia to reach this valuation as AI enthusiasm swept through equity markets. Shares jumped 5.3% on the back of stronger-than-expected fiscal Q4 results, with revenue climbing 18% year-over-year to $76.44 billion and net income rising 24% to $27.23 billion, while earnings per share of $3.65 beat analysts’ $3.37 consensus. 

The company’s Intelligent Cloud segment, led by Azure, delivered 39% revenue growth, pushing full-year Azure sales past $75 billion—a 34% increase—and underscoring cloud and AI as core growth drivers. CEO Satya Nadella emphasized that “Cloud and AI is the driving force of business transformation across every industry and sector,” reflecting momentum from strategic AI investments, including the partnership with OpenAI and proprietary model development. 

Microsoft’s share gains helped propel the Nasdaq Composite up 1.3% to 21,396 and the S&P 500 higher by 0.8%, with the Dow Jones Industrial Average adding 0.3%. Looking ahead, record capital expenditures of $30 billion slated for AI infrastructure and data-center expansion, combined with deep integration of generative AI across Microsoft 365 via Copilot, position the company to sustain market-cap expansion as enterprises accelerate digital transformation.

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