Apply artificial intelligence (AI) and solve your most difficult business challenges. Our Machine Learning Solutions help you with forecasting, segmentation, and image and text processing. Automate your processes and save costs.
Our industry-specific ML solutions
Drop us a line to get more information about our custom development offers.
We use various technologies for our Machine Learning Solutions, but the ones we use the most are Tensorflow and Cloud Machine Learning Engine.
We are interested in everything when it comes to Machine Learning. We offer complex, customized Machine Learning Solutions for Airlines, Online Travel Agencies as well as for E-Commerce, Retail, Online Media, Banking and Finance businesses.
We developed Asia’s largest brewing company a time series forecasting with state-of-the-art gradient boosting methods. It included a forecast breakdown by dimensions such as geographies and products. Thanks to this new machine learning solution, the company is now able to make precise demand prediction for brick-and-mortar and hybrid retailers as well as supply-demand optimization for marketplaces and on-demand services apps. As a result, they are currently able to forecast the next month’s results with a 96% reliability.
We helped one of the largest media companies in Hong Kong create recommendations of keywords and master tags on Google ML Engine. We incorporated collaborative filtering to find the most relevant keywords and master tags for each user. We developed the minimum viable model development in one month and provided documentation to enable knowledge transfer and operationalization by the client.
We helped one of the biggest budget airlines in SouthEast Asia enhance its processes and drive ROI with the help of machine learning. The developed solutions include prediction of purchase (buy / no-buy) for each ancillary category (such as seat, food, baggage) and recommendation of most likely items within each ancillary category (such as for seat: aisle - premium seat). We focused on production-readiness for A/B testing and ensured knowledge transfer about processes and best practices around building the machine learning pipeline.
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It would be very difficult to fit all the stuff we’d love to show you on one website. If something you’ve seen has struck a chord with you, or if you’re keen to know more, drop us a line and let’s talk!