Build Forecasting Models That Adapt To Your Business
Achieve greater forecasting accuracy and consistency with our proprietary machine learning technology. Build unique forecasting models trained on your data that adapts to your business context.
Automatic forecast pipeline
Stop Wasting Time With Manual Tasks
Once built, your forecasting models run on autopilot. The reusable automatic forecast pipeline retrieves data, continuously learns and generates forecasts on a pre-defined schedule.
Curated library of external data
Include External Drivers Impacting Demand
Boost forecast accuracy by adding external data that influence demand, including weather, holidays, and economic indicators (tariffs, exchange rate, inflation rate and more) - all provided within the platform.
Collaborative scenario planning
Hit Your Sales and Revenue Targets
Forecast demand under different conditions. Understand the impact of promotions and other controllable factors by simulating multiple 'what-if' scenarios.
"Consider the value of your team’s time. The power of the Engine isn’t just in its ability to create high-quality predictive models, it’s in its ability to get you up and running and evaluating results in minutes, not weeks."
Chris Hall
Founder, Winegrounds LLC
"The AI & Analytics Engine is a powerful and easy-to-use data science and machine learning platform. The AI-guided automation and low code approach helps us quickly adapt to the Engine and apply it to our business cases."
Duc Anh Nguyen
Lead Developer, BESPIN GLOBAL
"Usually, you think about machine learning as something that takes a long time to develop, but in reality, with tools like the Engine, everything becomes really easy, quick and efficient."
Massimo Bellino
Co-Founder, M&A Compass
"PI.EXCHANGE's platform has helped me as a professional data scientist by allowing me to cut down on labour-intensive tasks via automation. I can get things done quicker via the UI and the API access that the platform provides."
Hajar Razip
Research Scientist, UTP-CeRDaS
"PI.EXCHANGE’s ability to use machine learning to help identify and, thereby, reduce payment fraud is a game-changer. Adding to that, this SaaS-based technology is fast to deploy and also simplifies machine learning."
Ken Goh
Chief Partnership Officer, Huawei Cloud
"The Engine was easy to use and performed well. I used a public dataset from Kaggle and the score was just below the best-optimized prediction even though I did not fully utilize all of the Engine's features. It is an impressive product."
Seok Lyu
Investment Team, SpringCamp
Ready to improve your demand forecasting?
We'll help you implement machine learning-powered demand forecasting into your organization. Here's what you can expect in the first 4 weeks.
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