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Top Dairy Producer Turns To Deep Learning To Predict Daily Sales

Background Forecasting is the process of using historical data to predict the future. It is commonly used to predict future sales or demand so that business can better plan for future events. Forecasting works by predicting numerical quantities for the future using observations from the past. Some of the common applications of forecasting on the OneClick.ai platform include Sales Forecasting and Customer Retention.ChallengeOne of the world’s top 10 dairy producers provides hundreds of prod ...

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Major International Airline Flies to OneClick.ai to Improve Demand Forecast Accuracy

Background Headquartered in Asia, a top global airline is a leader in the aviation industry and a member of the one of the largest international alliances. The airline’s executives committed to making Artificial Intelligence a business priority across the company and specifically were seeking an AI platform that leverages advancements in machine learning and deep learning to improve the airline’s ability to accurately forecast passenger demand for domestic and international routes. The Challeng ...

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Top U.S. Automotive Manufacturer Turns to Automated Deep Learning to Make Data-Driven Business Decisions

BackgroundOne of the top three U.S. automotive manufacturers has made it a priority to use Artificial Intelligence to better understand trends in its data, enable more informed, data-driven decisions, and ultimately increase revenue and shareholder value.To achieve these goals the company planned to build an internal AI platform for sharing data-driven insights across all business units including Sales, Engineering, Research & Development, and Customer Service.The ChallengeWith t ...

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Quick Serve Restaurant Boosts Accuracy of Forecasting Models with OneClick.ai

The Customer In an on-demand world, fast food companies play a vital role serving millions of customers a day as quickly as possible. The challenges that come with running one of the world’s largest fast food chains are vast, including inventory management (how much food to buy), food preparation (how to prepare food up to 15 minutes in advance), staff planning (having the right number of employees on site to meet demand), faster service and better logistics (for centrally distributed items). Th ...