# Order quantity prediction

> Order quantity prediction - Build a model to improve decisions about initial order quantities using
> future product details and product sketches.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.581876+00:00` (UTC).

## Primary page

- [Order quantity prediction](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-building-tuning/pred-products.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Model building and fine-tuning](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-building-tuning/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/use_cases_and_horizontal_approaches/Retail_Industry_Predicting_Factory_Orders_New_Products/Retail%20Industry%20-%20Predicting%20Factory%20Order%20Quantities%20for%20New%20Products.ipynb)

Retailers face many decisions when launching new products. One key decision is the amount of product to order from the manufacturer.

Ordering too much wastes working capital and can lead to products being heavily discounted. Ordering too little squanders an opportunity for revenue and may cause customers to purchase other brands.

Getting initial orders quantities right is particularly difficult for luxury products where first year demand for a new purse, a new belt or a new shoe can vary by several orders of magnitude based on factors unrelated to the product specifications.

This notebook illustrates how to build a model to improve decisions about initial order quantities using future product details and product sketches.