Technology
Contactles stores will expand in Europe and Sensei will earn another $16 million
While Amazon Go pioneered the completely touchless store concept, others like 7-Eleven and Walmart have entered this territory. The area is growing, in part because several startups – similar to Standard Cognition, Zippin, AiFi, Grabango, Trigo – have expanded to supply their technologies to retailers.
But in Europe, a Portuguese startup Sensei is developing a contactless store platform and has now secured a €15 million Series A funding round led by BlueCrow Capital. New investors Lince Capital, Explorer Investments and Kamay Ventures (the investment arm of Coca-Cola and Arcor Group), in addition to existing investors Metro AG and Techstars Ventures, also participated in the meeting.
In 2021, based in Lisbon Sensei raised a seed round value $6.5 million (€5.4 million). Then he managed the financing Just like these ventures AND The capital of Iberiswith participation from 200M fund.
The startup currently plans to create 1,000 fully autonomous sales points by 2026. It already serves clients in Portugal, Spain, France, Italy and Brazil, and plans to expand into Central and Northern Europe.
Using computer vision, AI-powered sensors and real-time algorithms, the Sensei system mechanically updates the shopper’s basket and displays a listing of things ready for payment, with identity and privacy protected.
Touchless stores reduce checkout costs, prevent out-of-stocks and provide retailers with real-time visibility into store operations.
During the decision, Vasco Portugal, CEO and co-founder of Sensei, said: “We are growing, especially in the last year, we have almost doubled the number of stores. So we opened stores in a short time. We are now present in five locations.”
“There are two problems in the retail industry. The customer experience sucks. Second, it is extremely difficult to process all sales information in real time. It’s really about shop automation, like automotive automation and factory automation. I believe it is a natural change,” he added.
António de Mello Campello, partner at BlueCrow Capital, added in an announcement: “Artificial intelligence… is transforming several industries and we believe that retail represents one of the biggest opportunities and will soon be disrupted. Sensei has proven to be one of the best in the industry.”
Taking all this into consideration, competition in space is big.
Standard Cognition raised $239.4 million, Wheat $199 million, Grabango $93.8 million, AiFi $87.1 million and Zippin $44 million.
Technology
Flipkart co-founder Binny Bansal is leaving PhonePe’s board
Flipkart co-founder Binny Bansal has stepped down three-quarters from PhonePe’s board after making an identical move on the e-commerce giant.
Bengaluru-based PhonePe said it has appointed Manish Sabharwal, executive director at recruitment and human resources firm Teamlease, as an independent director and chairman of the audit committee.
Bansal played a key role in Flipkart’s acquisition of PhonePe in 2016 and has since served on the fintech’s board. The Walmart-backed startup, which operates India’s hottest mobile payment app, spun off from Flipkart in 2022 and was valued at $12 billion in funding rounds that raised about $850 million last 12 months.
Bansal still holds about 1% of PhonePe. Neither party explained why they were leaving the board.
“I would like to express my heartfelt gratitude to Binny Bansal for being one of the first and staunchest supporters of PhonePe,” Sameer Nigam, co-founder and CEO of PhonePe, said in a press release. His lively involvement, strategic advice and private mentoring have profoundly enriched our discussions. We will miss Binny!”
Technology
The company is currently developing washing machines for humans
Forget about cold baths. Washing machines for people may soon be a brand new solution.
According to at least one Japanese the oldest newspapersOsaka-based shower head maker Science has developed a cockpit-shaped device that fills with water when a bather sits on a seat in the center and measures an individual’s heart rate and other biological data using sensors to make sure the temperature is good. “It also projects images onto the inside of the transparent cover to make the person feel refreshed,” the power says.
The device, dubbed “Mirai Ningen Sentakuki” (the human washing machine of the longer term), may never go on sale. Indeed, for now the company’s plans are limited to the Osaka trade fair in April, where as much as eight people will have the option to experience a 15-minute “wash and dry” every day after first booking.
Apparently a version for home use is within the works.
Technology
Zepto raises another $350 million amid retail upheaval in India
Zepto has secured $350 million in latest financing, its third round of financing in six months, because the Indian high-speed trading startup strengthens its position against competitors ahead of a planned public offering next yr.
Indian family offices, high-net-worth individuals and asset manager Motilal Oswal invested in the round, maintaining Zepto’s $5 billion valuation. Motilal co-founder Raamdeo Agrawal, family offices Mankind Pharma, RP-Sanjiv Goenka, Cello, Haldiram’s, Sekhsaria and Kalyan, in addition to stars Amitabh Bachchan and Sachin Tendulkar are amongst those backing the brand new enterprise, which is India’s largest fully national primary round.
The funding push comes as Zepto rushes so as to add Indian investors to its capitalization table, with foreign ownership now exceeding two-thirds. TechCrunch first reported on the brand new round’s deliberations last month. The Mumbai-based startup has raised over $1.35 billion since June.
Fast commerce sales – delivering groceries and other items to customers’ doors in 10 minutes – will exceed $6 billion this yr in India. Morgan Stanley predicts that this market shall be value $42 billion by 2030, accounting for 18.4% of total e-commerce and a pair of.5% of retail sales. These strong growth prospects have forced established players including Flipkart, Myntra and Nykaa to cut back delivery times as they lose touch with specialized delivery apps.
While high-speed commerce has not taken off in many of the world, the model seems to work particularly well in India, where unorganized retail stores are ever-present.
High-speed trading platforms are creating “parallel trading for consumers seeking convenience” in India, Morgan Stanley wrote in a note this month.
Zepto and its rivals – Zomato-owned Blinkit, Swiggy-owned Instamart and Tata-owned BigBasket – currently operate on lower margins than traditional retail, and Morgan Stanley expects market leaders to realize contribution margins of 7-8% and adjusted EBITDA margins to greater than 5% by 2030. (Zepto currently spends about 35 million dollars monthly).
An investor presentation reviewed by TechCrunch shows that Zepto, which handles greater than 7 million total orders every day in greater than 17 cities, is heading in the right direction to realize annual sales of $2 billion. It anticipates 150% growth over the following 12 months, CEO Aadit Palicha told investors in August. The startup plans to go public in India next yr.
However, the rapid growth of high-speed trading has had a devastating impact on the mom-and-pop stores that dot hundreds of Indian cities, towns and villages.
According to the All India Federation of Consumer Products Distributors, about 200,000 local stores closed last yr, with 90,000 in major cities where high-speed trading is more prevalent.
The federation has warned that without regulatory intervention, more local shops shall be vulnerable to closure as fast trading platforms prioritize growth over sustainable practices.
Zepto said it has created job opportunities for tons of of hundreds of gig employees. “From day one, our vision has been to play a small role in nation building, create millions of jobs and offer better services to Indian consumers,” Palicha said in an announcement.
Regulatory challenges arise. Unless an e-commerce company is a majority shareholder of an Indian company or person, current regulations prevent it from operating on a listing model. Fast trading corporations don’t currently follow these rules.
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