[D] Share/discuss your use cases, main challenges, and approach in time-series forecasting?

For DS/ML education, consider sharing your time-series forecasting stories:

1. industry and use-case (forecasting demand for chairs, car sales, etc),
2. forecasting time horizon (one week ahead, 1 month ahead, etc)
3. forecasting time-resolution (hourly, daily, weekly, monthly forecast)
4. main goals successfully solved (good accuracy, handling noise well, etc),
5. main goals unsolved (handling outliers, seasonality, etc), and
6. objective metrics to measure good vs bad forecast (rmse, domain-specific, etc)
7. method / algo (observing, respecting IP/NDA)

Thank you …

cases forecasting machinelearning time use cases