![]() These platforms will bring costs down even further, and alleviate privacy concerns.Īs we’ve described above, Artificial Intelligence techniques could help Rosita create a substantial amount of structured information about her business with minimal ongoing effort. Fortunately, AI practitioners like Mobile Vision, Clarifai’s Mobile SDK, Android Speech, TensorFlow Mobile and OpenCV for Android are porting their platforms directly to mobile phones so they can run offline and in the palm of a user’s hand. Most of these technologies require a fast connection to the cloud, which might be too expensive or otherwise unavailable to Rosita. ![]() Google Cloud Speech (powers Google Voice) records conversations with customers and suppliers, creating texts that can be analyzed for meaning using Clarabridge.Her competitors at Bodega.ai are doing just that! Clarifai custom model can be trained to identify the products Rosita sells based on images, thereby doing away with the need for barcode scanners.out of stock, compliance with planogram), detects supplier merchandising, and describes the shop’s layout. ![]() VisionWits, Planorama or Traxanalyzes images of shelves, extracts measures of shelf effectiveness (i.e.Captricity extracts information from forms and other structured documents with handwritten text while Dropbox’s Doc Scanner saves documents and extracts texts for searching and organizing.Android Mobile Vision reads product barcodes and text.Google Cloud Vision extracts text from receipts fairly accurately and at a very low cost ($0.001 per receipt!), and other options like Scanbot and Abbyyoffer specialized tools for mobile receipts.New, intelligent cameras like Google’s Clips will make this task a breeze. Rosita could track how many customers enter her shop every day, for instance. Amazon’s Rekognition automatically assigns customers an identification number using facial recognition. ![]() Today, she doesn’t need a full team of tech experts, as there are several off-the-shelf options Rosita can use to turn raw data into structured information: Luckily, data scientists in academia and the private sector have been making great strides in AI applications. We turn to Artificial Intelligence for this task, which would otherwise be too laborious for a busy micro-entrepreneur like Rosita, our corner shopkeeper. So how can we turn sensor data into information that shopkeepers can use? Not bad for a $50–100 investment in technology! However, the raw data alone doesn’t make a difference - it’s the actionable insights distilled from the data that matter. With a single smartphone, small business owners can go from completely opaque information to being inundated with raw business data. ![]()
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