I will build an ai demand forecasting agent for inventory and sales planning

Yes. I’ve delivered full end-to-end forecasting systems for real businesses, including data ingestion, model validation, business calibration, and delivery through a usable web application. For larger or business-critical projects, I usually start with a discussion to understand the data structure

Absolutely. Your data will only be used for your project, and I delete all files after delivery. I can also sign an NDA if needed.

I always provide error metrics such as MAE, RMSE, and MAPE so you can see the accuracy of the models. Forecasts are based on historical patterns, so accuracy depends on data quality and market stability.

Yes, for very large datasets beyond Fiverr’s package limits, please contact me first and I will prepare a custom offer based on your requirements.

An Excel or CSV with at least 18 months of history: date, product or category, and quantity sold. More history means better seasonality detection. If you are unsure, send me the file structure and I will confirm.

It depends on your data. High-volume stable products typically land in the 15-25% WAPE range. Volatile or low-volume items are harder and I will tell you so before we start rather than promise a number I cannot hold.

Because no single model wins everywhere. On a recent client project ARIMA won on 8 series and Prophet on 5. Forcing one model onto every product is the most common reason forecasts fail.