Deep North, the intelligent video analytics company, announced the launch of Checkout IQ, its new retail loss prevention solution, which uses computer vision and AI to reduce shrinkage at checkout. The release reflects Deep North's ongoing commitment to empower retailers with data-driven tools to keep their businesses competitive, maximize revenue, and offer great customer experiences. With shrinkage at an all-time high and an increase in organized retail crime, Deep North is providing a new way for retailers to prevent fraud loss and improve their bottom line. Raises $10.5 Million Series A to Help CX Teams Turn Conversations Into Insights and Automation Designed to help retailers reduce retail fraud activities, Checkout IQ works with retailers' existing camera systems. By analyzing camera views, the application identifies items that are being scanned by the customer or the cashier, and this count is cross-referenced with the POS item count to detect any discrepancies.
Forter, a company that uses machine learning to detect and prevent fraud in online retail transactions, announced today that it has raised $50 million in a series D funding round led by March Capital Partners, bringing its total financing to $100 million. Salesforce Ventures joined the round, along with previous investors including Sequoia Capital and New Enterprise Associates (NEA). Global online retail sales amounted to more than $2 trillion in 2017, and this number is projected to reach more than $4.5 billion by 2021. But as online retail grows, so does online fraud. Account takeover attacks are on the rise, as are high-volume automated "bot" attacks and so-called policy attacks like coupon abuse.
Alphabet is broken out into its core Google business and a number of other subsidiaries, which it deems "Other Bets." The majority of Google's business comes from advertising revenues, which the company generates through its search engine as well as a number of other Google-affiliated and partnership websites. Outside of search and advertising, Google generates revenue from products including cloud and enterprise, consumer hardware, mapping, and YouTube. In addition to Google, Alphabet encompasses a host of other subsidiaries called "Other Bets." These companies are more experimental in nature, and as a result are not material to Alphabet's bottom line.
Spain-based AI-powered retail intelligence platform Nextail has landed $10 million in a Series A round led by KEEN Venture Partners LLP, with participation from Sonae IM and existing investor Nauta Capital. The company plans to use the capital injection to further develop its product and double the headcount to over 100 people. Nextail focuses on the sector of fast fashion, where process optimisation is important to bring the most current designs to a store as quickly as possible. It uses AI techniques and prescriptive analytics to provide actionable insights for inventory planning and merchandising. The company claims that its clients see their sales increasing between 5-10 percent, in-store stock coverage reduced by 30 percent and stockouts reduced by 60 percent within the first 30 days of using the platform.
Bossa Nova Robotics, a Silicon Valley developer of autonomous service robots for the retail industry, announced the close of a $17.5 million Series B funding round led by Paxion Capital Partners and participation by Intel Capital, WRV Capital, Lucas Venture Group (LVG), and Cota Capital. This round brings Bossa Nova's total funding to date to $41.7 million.
Reflektion*–which delivers innovative "individualized commerce" technology for retailers–recently announced it has raised 18 million in Series B financing led by Battery Ventures. Here, Powered by Battery chats with CEO Sean Moran about the how the company is aiming to transform digital retail, partly by leveraging new types of artificial-intelligence technologies. Powered by Battery: We hear a lot about "personalization" and predictive analytics when it comes to online retail. How does Reflektion and "individualized commerce" fit in? What exactly do you do?