Automotive Company Leveraged Machine Learning to Improve New Launch Forecast

New Product launch decisions are critical to an organization's growth strategy. Particularly, for automotive aftermarket leaders for whom budgets of launching new parts can run into millions of dollars.

It is imperative that these strategic decisions pertaining to demand forecasts be made using data and not just a Product manager’s intuition. Each new variable must be thoughtfully weighed on several criterion –from market potential, failure rate, market saturation to pricing against the OEMs, among other things.

It was with the intention of overcoming the bottleneck of excess inventory for a new product launch that an automotive aftermarket leader reached out to Bristlecone.