Infrrd AI Enabled Intelligent Document Processing for Complex Documents

With the e-commerce boom, entrepreneurs have learned that conventional strategies of visual merchandising or sales promotions won’t be able to sustain profits in the cutthroat CPG industry. Many retailers are already implementing AI and image recognition to deliver the next level of customer experience, bringing the dawn of a new era for the retail industry. According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI. Product discovery, product recommendations & trend analysis are some areas for implementation of computer vision and image recognition. This article elaborates on how image recognition can be implemented by retail & CPG companies. 1. Auditing Product Placement: Customers are making key buying decisions at store shelves and companies have to use technology to stay ahead of the fierce competition or face extinction. Gathering key consumer information helps companies understand their needs better. Shelf recognition us

Intelligent Data Capture  technology by Infrrd leverages AI/cognitive capabilities for information collection and analytics & finds its application mainly in document processing. It provides meaning to text extracted from many forms of digital assets such as documents, emails, text files and scanned images. The following infographic illustrates the process of Infrrd's IDC platform. Automated Invoice Processing https://infrrd.ai/

A decade ago the volume-heavy, error-prone and sluggish business processes of mortgage companies that take up considerable human labor were still struggling to find a direction with the technological transformation. Automation has finally kicked in for the Industry. Not only have the mortgage companies become more efficient, but the decision making logic has also evolved with the application of robotics and AI. The focus is now fixated on automating tasks, minimizing errors & improving customer experience. With the introduction of  AI technologies  like machine learning, mortgage professionals have been meeting their targets while achieving better customer satisfaction. Most of the work which was reliant on manpower is now being done by computers. As a result, professionals can shift their attention to more strategic aspects of the job like managing problems and processing exceptions. Infrrd’s AI-led automaton is enabling mortgage companies to replicate human reasoning via machin

Old school ways of conducting financial transactions are gradually bidding adieu. Automation, AI, and data analytical tools are taking over to ease the workflow. Everyone in the market wants to move ahead to enhance customer experience, deliver value, and obtain market share. So boarding the train of digital transformation has become the first choice for most companies. Now the question is what does it signify for the present and future of this industry? Adapt and adopt, these are the key terms for most companies who are walking in pace with the technological revolution. Finance being the people first sector is shifting its focus to make their customers’ personal lives better and easier. Businesses are prioritizing greater agility and higher quality for their overall process improvements. Some of the changes they are going through are: Making investments on technology which can support or expand their operating models, thereby making their processes responsive, effective, and d

Identifying objects, images, handwritten texts, places, people etc have not been the most easiest in the past and manually it can take a lot of time. Unless you try a different approach such as  ​ enterprise AI - based  Image Recognition   platform from Infrrd. With our machine learning and computer vision infused technology, you receive details about the images in real-time to make smarter decisions based on these insights. If you’re wondering about how this technology benefits you then we have just the facts you need. It’s image tagging and classification feature can be immensely helpful in categorizing, browsing, and moderating the kind of images you wish to show on your corporate website. Our computer vision algorithms will tell you what’s in a particular image, whether an object of interest is present in an image or not, and whether it’s you need to extract that image or not.  ​ OCR The next feature is feature extraction and object detection. With this feature you can au