---
title: Demand Forecasting Case Study
description: Bristlecone Demand.ai helped the manufacturer improve forecast accuracy and launch decisions, resulting in $10 million in annual savings.
---

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# North American Auto Parts Manufacturer Saves $10M Annually with Demand.ai

 AI and ML-based demand forecasting and sensing solution, improved forecast accuracy and reduced inventory holding cost.

[Learn How](https://home.bristlecone.com/demand-forecasting-case-study#form)

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[Contact Bristlecone](https://www.bristlecone.com/contact/)

## Project Overview

Region

USA

Industry

Automotive

Challenges

- **Forecast accuracy for new product launches was 17%**
- **Excess inventory worth millions of dollars**
- **Dealer sales data does not represent actual demand**

Results

- **50% reduction demand forecasting errors**
- **10% decrease in excess inventory**
- **$10 million annual savings**

#### Download Case Study

## Learn how Bristlecone Demand.ai, an AI and ML-powered demand forecasting solution, improved forecast accuracy for new product launches, resulting in $10 million in annual savings.

 

 

 

 

 

 

 

 

 

 

 

 

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