India rejects Walmart-owned Flipkart’s proposed foray into food retail business

The Indian government has rejected Flipkart’s proposal to enter the food retail business in a setback for Walmart, which owns majority of the Indian e-commerce firm and which recently counted its business in Asia’s third-largest economy as one of the worst impacted by the global coronavirus pandemic.

The Department for Promotion of Industry and Internal Trade (DPIIT), a wing of the nation’s Ministry of Commerce and Industry, told Flipkart, which competes with Amazon India, that its proposed plan to enter the food retail business violates regulatory guidelines.

Flipkart’s proposed food retail business, called Flipkart FarmerMart, cannot be structured on a 100% foreign direct investment, the Indian agency said. Rajneesh Kumar, chief corporate affairs officer at Flipkart, told TechCrunch that the company was evaluating the agency’s response and intended to re-apply.

“At Flipkart, we believe that technology and innovation driven marketplace can add significant value to our country’s farmers and food processing sector by bringing value chain efficiency and transparency. This will further aid boosting farmers’ income & transform Indian agriculture,” he added.

While announcing the plan to enter the nation’s growing food retail market, Kalyan Krishnamurthy, Flipkart Group CEO, said in October last year that the company planned to invest $258 million in the new venture.

Flipkart planned to invest deeply in the local agriculture-ecosystem, supply chain, and work with tens of thousands of small farmers, their associations, and the nation’s food processing industry, Krishnamurthy said. The food retail unit would help “multiply farmers’ income and bring affordable, quality food for millions of customers across the country.”

Several e-commerce and grocery firms in India, including Amazon, Zomato, and Grofers, have previously secured approval from New Delhi, which earlier permitted 100% foreign direct investment in food and a handful of other sectors, for entering the food retail business.

The Indian government has since revisited the guidelines to clarify that food retail, like any other e-commerce sector, can only operate as a marketplace that allows third-party sellers to engage with buyers — and not offer their own inventories, nor have equity in any of the players who sell on the platform.

Food and grocery are compelling categories for e-commerce businesses in India as it enables them to engage with their customers more frequently. According to research firm Forrester, India’s online food and grocery market remain significantly tiny, accounting for just 1% of the overall sales.

In the most recent quarterly earnings call, Walmart said limited operations at Flipkart had negatively affected the group’s overall growth. New Delhi announced one of the world’s stringent lockdowns across the nation in late March that restricted Amazon and Flipkart from delivering in many states and only sell “essential items” such as grocery and hygienic products.

India maintains the stay-at-home orders for its 1.3 billion citizens, though it has eased some restrictions in recent weeks to resuscitate the economy.

Source

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source https://abangtech.com/india-rejects-walmart-owned-flipkarts-proposed-foray-into-food-retail-business/

HONOR releases official renders of the Play 4 5G ahead of launch

Earlier this month, renders of an upcoming HONOR phone – claimed to be the HONOR Play 4 Pro – surfaced online with some of its key specs in tow. The company announced that it will be launching the HONOR Play 4 series on June 3 in China. Now, it has released official renders of the device.

HONOR Play series Product Manager Wei Xiaolong Raul took to Weibo to share the renders. The Play 4 5G can be seen in black, blue, and white colors. He didn’t share any details on the specs of the phone.

The smartphone is said to feature a 6.81-inch FHD+ display and will pack an octa-core 2.0GHz chip packed alongside up to 8 gigs of RAM. The main camera at the back could use a 64MP sensor, and a 16MP camera on the front.

Source: Weibo

Source

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source https://abangtech.com/honor-releases-official-renders-of-the-play-4-5g-ahead-of-launch/

7 Ways Artificial Intelligence Has Changed Our Lives – Techiexpert.com – TechiExpert.com

Technological advancements have impacted our lives significantly over the years. The things we viewed as science fiction in the past are our current reality. Robots, supercomputers, and interactive applications are now typical.

One of the technologies, Artificial Intelligence, is at the forefront of transforming our lives. AI is integrated into almost all devices we use daily, making our lives easier. 

In this article, we look at how AI has transformed our lives. We discuss some of the areas of our lives that have been impacted directly and indirectly by AI-based technological innovations. 

1.   Improved Healthcare 

The integration of AI into healthcare system has led to significant improvements. It is now possible to treat diseases that we couldn’t manage in the past. With technology, doctors can treat cancerous growths, ulcers, severe injuries, and nervous conditions. 

With AI, doctors can successfully diagnose diseases in the human body. They have access to advanced scanners, ultrasound machines, among other devices that detect minute changes. AI has also led to quick treatment and recovery process for many patients. People living with disabilities can now get robotic limbs. 

2.   Enhanced Data Management

To survive in the current competitive environment, every company has to harness the power of data. Ecommerce trends and the increasing influence of social media have changed the business landscape. 

It is no longer easy for a company to monopolize the market and offer poor quality services. As a consumer, you have plenty of options available. Developers use Artificial Intelligence to develop sophisticated databases that store, sort, and arrange raw data. Companies analyze this data and use it to envisage upcoming trends and client preferences. 

AI has also made it possible for online stores to offer more personalized services to their clients. They can use your shopping and browsing history on the e-store to alert you when there are offers or new products and services in your areas of interest.  

3.   Improved Navigation

With AI, you cannot get lost. Almost every device has a GPS installed in them; hence, we can determine our live location. With your smartphone, you can go to any city in the world and use a navigation app to find your way around the city. 

AI technology is also revolutionizing the transport industry. Aircraft, trains, and cab companies use AI to detect traffic and navigate safely. The technology has improved service delivery; a cab driver can go to a place they are not familiar with using the navigation system, which also calculates the cost of the trip using time and distance as factors.  

With AI, you can book your tickets, place orders online, and track your package at the click of a button. 

4.   Cybersecurity and Decreased Risks

AI makes it easy for law enforcement to track criminals anywhere across the globe using GPS. AI platforms offer better security against online fraud and theft. With voice recognition capability, you don’t have to worry about data theft, hacking, and other online threats. 

AI is used by scientists to detect underground activity; hence they can know if there is an earthquake, volcanic eruption, or any other disaster coming. This capability makes AI an essential element in disaster management.

5.   Machine-Oriented Manufacturing

AI technology is making machines smarter and more self-sufficient. To boost their production process, manufacturing companies are adopting automated engines. With intelligent machines, human error is eliminated. 

Companies have reduced their cost of production by using machines in place of humans. Robots are more efficient, not emotional, and consistent. AI technology has revolutionized the manufacturing industry. 

Service-based sectors have also joined the AI bandwagon. The hospitality industry, e-commerce, aviation, and education are all harnessing the power of AI to improve their service delivery. 

6.   Holistic Entertainment

AI technology has also changed the entertainment industry. The impact is significant in the gaming industry. With AI, modern gaming platforms use perceptive graphics and enhanced interaction, thereby improving the gaming experience. 

The introduction of Virtual Reality and Augmented Reality devices has introduced gamers to virtual spaces that look real. 

AI is also revolutionizing the movie industry. Movie streaming services use AI to personalize their user experiences. For instance, the platforms use AI to predict a user’s potential choices. This ability improves the user experience as it saves them time while browsing movies on the platforms. 

7.   Smart Weather Forecasting

AI technology, we now receive more accurate weather forecast reports. The technology makes it easier for the weathermen to study climate, forecast storms, and excessive rain in specific locations. 

It is now easier for governments to avert disasters that would lead to loss of lives and property. Weather forecasting is also critical for agricultural sector planning. Farmers can get an accurate understanding of upcoming rains and dry spells. 

The future of AI

AI technology is here to stay. AI is expected to affect the future of almost all industries. AI technology is the driving force behind most emerging technologies such as robotics, big data, and the Internet of Things (IoT). 

You should expect to see more AI-based innovations in transport, manufacturing, healthcare, education, media, and customer service. These innovations will render some jobs obsolete but will also give rise to new careers. Some of these new careers include data detectives, AI Business Development Managers, AI-assisted health care technicians, cyber city analyst, man-machine teaming manager, and genomic portfolio director. 

Our verdict

With Artificial Intelligence, our lives have become more efficient. AI is working behind the scenes in many programs and services that enable us to do our daily activities. For example, connecting with friends, sending emails, typing documents, or using a cab app, AI-powered applications facilitate all these activities. 

AI is now part of our daily lives and will continue to be for many years to come. For those in the business space, you should align your business process with emerging technologies based on AI to remain competitive. Otherwise, you might not be able to play at the same level as companies that have embraced AI.

AI is part of our lives now; we need to embrace it and plan strategically to benefit from its innovations. 

Source

The post 7 Ways Artificial Intelligence Has Changed Our Lives – Techiexpert.com – TechiExpert.com appeared first on abangtech.

source https://abangtech.com/7-ways-artificial-intelligence-has-changed-our-lives-techiexpert-com-techiexpert-com/

How to build a smart home in 2020 – TechEngage

IoT has made a lot of progress since its inception. Home automation has become very important today, and people are using different devices to automate their homes. From Alexa to Google Home, these devices make the lives easier. With home automation, you can automate different tasks that you perform daily or make them smart. Different devices are used to automate your home and make it smart.

Why you should go for home automation?

Home automation makes an ordinary home into an advanced home. With home automation, you can make your home even smarter and call it a smart home. These smart homes have different traits, some have lighting controls, and some have energy-saving features. These are the traits a smart home can have:

• Lighting control
• Air condition control
• Floor heating control
• Curtain control
• Energy saving
• AV control

Building a smart home

Building a smart home is a challenge in 2020. You need the assistance of experts who are good at planning, execution, and have expertise in home automation to make it happen. For this purpose, TIS Control is the company offering home automation solutions. From lighting, air, floor, curtain, and av control to energy saving, the company can add all of these to your ordinary home and make it smart.

1. Lighting controls:

Smart lighting controls can not only make it easy to control your lights with your smartphone but can also add energy-saving features to the system. You can automate your lights and sync it with your availability at home. You can also add RGB lighting controls to change the feel of your room, depending on your mood. You can also set a time when the lights will turn on automatically.

2. Air condition and floor heating controls:

Smart air condition systems and floor heating can also be added to your home. On a hot summer day, you can enable air condition systems on your way home, and when you get there, it’s already optimized. Similarly, heating your floor with the optimal temperature is also not hard anymore. With the push of the button and wireless controls, you can do so at the ease of your fingertips.

3. Curtain controls:

Imagine waking up in the morning and finding out curtains automatically move at the particular time you’ve set. Yes, home automation can add multiple cool features to your home. You can set the timer, and the curtains would move when you want to wake up. Not only this, but you can also automate your main door, so whenever your car is outside, they will open automatically with just a press of a button.

4. AV controls:

When smart automation is enabled, controlling AV in the house becomes easier. You can control music from any corner of your house. You can also control televisions, play, or pause your favorite movie when you reach home and do more with audios.

5. Energy-saving:

With smart home automation, you can also save energy and save big bucks on your bills. You can turn off the lights and air condition systems when you’re not in the room. Smart systems can also detect unnecessary usage if connected with other home appliances. This way, your smart home can also be called an energy-efficient home.

So, these were the controls you can add while building a smart home with TIS home automation systems. These systems will not only make life easier but also help you in managing costs and save energy. 

Source

The post How to build a smart home in 2020 – TechEngage appeared first on abangtech.

source https://abangtech.com/how-to-build-a-smart-home-in-2020-techengage/

Huawei P Smart 2020 Smartphone Review – Comfortable and stale

Source

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source https://abangtech.com/huawei-p-smart-2020-smartphone-review-comfortable-and-stale/

Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2329 Points ∼84%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	2321 Points ∼84% 0%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2765 Points ∼100% +19%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2240 Points ∼81% -4%
Average HiSilicon Kirin 710   (2196 – 2345, n=5)	2296 Points ∼83% -1%
Average of class Smartphone   (1740 – 4057, n=125)	2605 Points ∼94% +12%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	803 Points ∼29%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	995 Points ∼36% +24%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2257 Points ∼81% +181%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	914 Points ∼33% +14%
Average HiSilicon Kirin 710   (796 – 1220, n=5)	948 Points ∼34% +18%
Average of class Smartphone   (203 – 8783, n=125)	2800 Points ∼100% +249%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	940 Points ∼37%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1140 Points ∼45% +21%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2353 Points ∼93% +150%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1052 Points ∼42% +12%
Average HiSilicon Kirin 710   (927 – 1365, n=5)	1087 Points ∼43% +16%
Average of class Smartphone   (253 – 6618, n=125)	2526 Points ∼100% +169%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2257 Points ∼69%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	2409 Points ∼74% +7%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3256 Points ∼100% +44%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2379 Points ∼73% +5%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2085 Points ∼64% -8%
Average HiSilicon Kirin 710   (1851 – 2789, n=14)	2341 Points ∼72% +4%
Average of class Smartphone   (573 – 5728, n=469)	2110 Points ∼65% -7%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	831 Points ∼33%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	999 Points ∼39% +20%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2551 Points ∼100% +207%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	990 Points ∼39% +19%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	838 Points ∼33% +1%
Average HiSilicon Kirin 710   (470 – 1194, n=14)	830 Points ∼33% 0%
Average of class Smartphone   (75 – 9389, n=469)	1971 Points ∼77% +137%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	967 Points ∼36%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1148 Points ∼43% +19%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2680 Points ∼100% +177%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1138 Points ∼42% +18%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	966 Points ∼36% 0%
Average HiSilicon Kirin 710   (563 – 1351, n=14)	964 Points ∼36% 0%
Average of class Smartphone   (93 – 8111, n=470)	1830 Points ∼68% +89%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2221 Points ∼68%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	2396 Points ∼73% +8%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3267 Points ∼100% +47%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2347 Points ∼72% +6%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2459 Points ∼75% +11%
Average HiSilicon Kirin 710   (1656 – 2723, n=14)	2351 Points ∼72% +6%
Average of class Smartphone   (375 – 5718, n=499)	2021 Points ∼62% -9%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	1251 Points ∼33%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1692 Points ∼44% +35%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3803 Points ∼100% +204%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1669 Points ∼44% +33%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	1225 Points ∼32% -2%
Average HiSilicon Kirin 710   (740 – 1378, n=14)	1241 Points ∼33% -1%
Average of class Smartphone   (70 – 20154, n=499)	2616 Points ∼69% +109%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	1385 Points ∼38%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1810 Points ∼49% +31%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3669 Points ∼100% +165%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1783 Points ∼49% +29%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	1379 Points ∼38% 0%
Average HiSilicon Kirin 710   (844 – 1534, n=14)	1386 Points ∼38% 0%
Average of class Smartphone   (88 – 10699, n=499)	2200 Points ∼60% +59%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2325 Points ∼74%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	2476 Points ∼79% +6%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3152 Points ∼100% +36%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2409 Points ∼76% +4%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2392 Points ∼76% +3%
Average HiSilicon Kirin 710   (1924 – 2716, n=14)	2427 Points ∼77% +4%
Average of class Smartphone   (435 – 4987, n=549)	2003 Points ∼64% -14%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	728 Points ∼31%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	999 Points ∼42% +37%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2369 Points ∼100% +225%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	945 Points ∼40% +30%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	703 Points ∼30% -3%
Average HiSilicon Kirin 710   (457 – 856, n=14)	748 Points ∼32% +3%
Average of class Smartphone   (53 – 8469, n=549)	1646 Points ∼69% +126%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	859 Points ∼34%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1152 Points ∼46% +34%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	2507 Points ∼100% +192%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1093 Points ∼44% +27%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	834 Points ∼33% -3%
Average HiSilicon Kirin 710   (550 – 999, n=14)	883 Points ∼35% +3%
Average of class Smartphone   (68 – 7190, n=550)	1575 Points ∼63% +83%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2328 Points ∼76%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	2482 Points ∼81% +7%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3070 Points ∼100% +32%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2405 Points ∼78% +3%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2381 Points ∼78% +2%
Average HiSilicon Kirin 710   (1907 – 2654, n=14)	2421 Points ∼79% +4%
Average of class Smartphone   (293 – 5054, n=591)	1870 Points ∼61% -20%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	979 Points ∼27%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1663 Points ∼46% +70%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3647 Points ∼100% +273%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1632 Points ∼45% +67%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	683 Points ∼19% -30%
Average HiSilicon Kirin 710   (568 – 1335, n=14)	1052 Points ∼29% +7%
Average of class Smartphone   (43 – 12394, n=590)	2146 Points ∼59% +119%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	1124 Points ∼32%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	1795 Points ∼51% +60%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3501 Points ∼100% +211%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1758 Points ∼50% +56%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	812 Points ∼23% -28%
Average HiSilicon Kirin 710   (673 – 1490, n=14)	1198 Points ∼34% +7%
Average of class Smartphone   (55 – 9123, n=593)	1854 Points ∼53% +65%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	12009 Points ∼49%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	20320 Points ∼83% +69%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	20019 Points ∼82% +67%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	24457 Points ∼100% +104%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	11212 Points ∼46% -7%
Average HiSilicon Kirin 710   (11158 – 22668, n=11)	16112 Points ∼66% +34%
Average of class Smartphone   (735 – 57583, n=739)	14942 Points ∼61% +24%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	19251 Points ∼37%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	15403 Points ∼29% -20%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	52700 Points ∼100% +174%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	24828 Points ∼47% +29%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	19510 Points ∼37% +1%
Average HiSilicon Kirin 710   (2177 – 22605, n=11)	18499 Points ∼35% -4%
Average of class Smartphone   (536 – 209431, n=737)	24413 Points ∼46% +27%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	16976 Points ∼44%
Nokia 5.3 Qualcomm Snapdragon 665, Adreno 610, 4096	24065 Points ∼62% +42%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	38671 Points ∼100% +128%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	24745 Points ∼64% +46%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	16754 Points ∼43% -1%
Average HiSilicon Kirin 710   (12120 – 22168, n=11)	18933 Points ∼49% +12%
Average of class Smartphone   (662 – 110468, n=737)	19480 Points ∼50% +15%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	1021 Points ∼72%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	1410 Points ∼100% +38%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1224 Points ∼87% +20%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	982 Points ∼70% -4%
Average HiSilicon Kirin 710   (982 – 1212, n=13)	1092 Points ∼77% +7%
Average of class Smartphone   (7 – 1745, n=687)	792 Points ∼56% -22%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	1488 Points ∼39%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3807 Points ∼100% +156%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	1932 Points ∼51% +30%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	1469 Points ∼39% -1%
Average HiSilicon Kirin 710   (1450 – 1489, n=13)	1470 Points ∼39% -1%
Average of class Smartphone   (18 – 16996, n=687)	2309 Points ∼61% +55%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	3098 Points ∼72%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	4295 Points ∼100% +39%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2780 Points ∼65% -10%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2972 Points ∼69% -4%
Average HiSilicon Kirin 710   (2823 – 4360, n=13)	3181 Points ∼74% +3%
Average of class Smartphone   (21 – 7945, n=687)	1707 Points ∼40% -45%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	5132 Points ∼75%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	6828 Points ∼100% +33%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	4391 Points ∼64% -14%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	5074 Points ∼74% -1%
Average HiSilicon Kirin 710   (4826 – 5568, n=13)	5208 Points ∼76% +1%
Average of class Smartphone   (369 – 14189, n=687)	3252 Points ∼48% -37%
Huawei P Smart 2020 HiSilicon Kirin 710, Mali-G51 MP4, 4096	2208 Points ∼62%
Xiaomi Redmi Note 9S Qualcomm Snapdragon 720G, Adreno 618, 6144	3542 Points ∼100% +60%
Motorola Moto G8 Qualcomm Snapdragon 665, Adreno 610, 4096	2318 Points ∼65% +5%
Huawei P Smart 2019 HiSilicon Kirin 710, Mali-G51 MP4, 3072	2159 Points ∼61% -2%
Average HiSilicon Kirin 710   (2140 – 2445, n=13)	2255 Points ∼64% +2%
Average of class Smartphone   (1 – 6097, n=687)	1644 Points ∼46% -26%

[Update: US stores closed due to protests] COVID-19: Which Apple Stores have reopened?

On March 13, Apple closed all of its retail stores outside of Greater China in an effort to slow the spread of COVID-19. As many regions around the world ease shelter-in-place orders, Apple is reopening its stores with additional safety procedures and a new social distancing protocol. In the US, each state has a slightly different timeline for reopening businesses, which may leave you wondering: is my Apple Store open?

Update: Apple temporarily closed the majority of its US retail stores on May 31 in wake of widespread protests and looting across the country. Some locations with sustained damage may be closed for an extended period.

Apple monitors local health data and government guidance to determine when individual store locations can safely reopen, and has detailed its comprehensive safety measures in an open letter to customers. Health and safety procedures will vary slightly from store to store based on local policies. In regions where Apple Stores have reopened, the company is focusing on service and support at the Genius Bar. Apple encourages customers to continue shopping online with the Apple Store app, as many locations are open for curbside of storefront service only.

Select Apple Stores in the US began reopening on May 11. Reopening date announcements will continue across the world throughout May and into June. If you’re staying safe at home, Apple has prepared Today at Apple at Home sessions hosted by Apple Store Creative Pros to boost your creativity. New sessions are added regularly.

We’ll update this article as new information is made official, so check back often.

Is My Apple Store Open?

Tap the arrow icon on the map below to view which Apple Stores have reopened and which will reopen soon. Closed stores are marked on the map with red pins, open stores in green, and stores reopening soon are marked in yellow.

Note: some locations are open for curbside or storefront service only.

Latest Update: May 31, 4:00 P.M. CDT

Curbside, Storefront, Or In-Store?

Apple has temporarily modified the services offered at many stores

for customer safety and convenience.

Reopened US stores offer 1 of 3 service levels:

In-Store Service & Sales

You are welcome inside for appointments and shopping while maintaining social distancing guidelines. Store hours and customer occupancy may be reduced.

Storefront Service & Sales

Online orders and prescheduled Genius Support appointments are available at Apple’s door. Walk-in support and shopping will return soon.

Curbside Service & Sales

Online orders and prescheduled Genius Support appointments are available from your vehicle. An Apple team member may guide you to a designated pickup and appointment zone near Apple’s door. Walk-in support and shopping will return soon.

Check the webpage for your local store

to see which service level Apple currently offers.

Your Curbside Appointment

When you schedule a Curbside Genius Support appointment, you’ll be asked to provide a contact number. On the day of your service, an Apple Genius will contact you with directions to your appointment.

Store Status By Region
Region	Stores	Open
Australia	22	22
Austria	1	1
Belgium	1	0
Brazil	2	0
Canada	29	12*
China mainland	42	42
France	20	0
Germany	15	15
Hong Kong	6	6
Italy	17	12*
Japan	10	2*
Macao	2	2
Mexico	2	0
Netherlands	3	0
Singapore	2	0
South Korea	1	1
Spain	11	0
Sweden	3	2*
Switzerland	4	4
Taiwan	2	2
Thailand	1	0*
Turkey	2	0
UAE	3	0
UK	38	0
US	271	140*
‎263 of 510 Apple Stores Open**
‎*Canada: All stores outside of Ontario and Quebec have reopened.
‎*Italy: All stores outside of Lombardy have reopened.
‎*Japan: Apple Fukuoka and Nagoya Sakae reopened May 27.
‎*Sweden: Apple Väla Centrum and Emporia reopened May 28.
‎*Thailand: Apple Iconsiam reopens June 1.
‎*US: Select stores allowed to reopen based on local guidance.
‎**Select stores closed due to protest damage not reflected in this count.
‎‎Latest Update: May 31, 4:00 P.M. CDT

Upcoming Apple Store Reopenings
Apple often announces reopening dates 2-3 days in advance.
June 1
Apple Iconsiam
Bangkok
‎‎Latest Update: May 31, 4:00 P.M. CDT

Reopening Timeline
	February 14 • China (Select Stores)
	March 12 • China (All Stores)
	April 18 • South Korea
	May 5 • Austria
	May 7 • Australia (Select Stores)
	May 11 • Germany
	May 11 • US (Select Stores)
	May 12 • Switzerland
	May 19 • Italy (Select Stores)
	May 20 • Canada (Select Stores)
	May 27 • Japan (Select Stores)
	May 28 • Australia (All Stores)
	May 28 • Sweden (Select Stores)
	June 1 • Thailand
‎

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