IDS Case Study: Creating a Forecasting Model to Anticipate Low Inventory

By Keiter CPAs

IDS Case Study: Creating a Forecasting Model to Anticipate Low Inventory

Challenge and Opportunity

A technology company was seeking to better coordinate product delivery between retailers, manufacturers, and delivery partners.



  • Direct store delivery logistics is extremely complicated because numerous factors impact the delivery of inventory at retail locations at specific times.
  • Our team enhanced the client’s existing technology by collecting and inputting data, such as seasonality and product grouping, which anticipate inventory need.
  • Using their existing data with new data sets, our team was able to build a forecasting model that anticipated inventory needs more effectively, with less data from the stores.


The technology tool has been a major revenue driver for the client resulting in increased revenue and serving over 35,000 partners.


View All IDS Case Studies >


Learn More about our Innovative Data Solutions Services


Share this Insight:

About the Author

Keiter CPAs

Keiter CPAs

Keiter CPAs is a certified public accounting firm serving the audittax, accounting and consulting needs of businesses and their owners located in Richmond and across Virginia. We focus on serving emerging growth businesses and companies in the financial servicesconstructionreal estatemanufacturingretail & distribution industries and nonprofits. We also provide business valuations and forensic accounting servicesfamily office services, and inbound international services.

More Insights from Keiter CPAs

The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


Contact Us