National-level forecasting for immunization programs is typically conducted on an annual basis, while forecasting at the sub-national and service delivery level is done regularly. Forecasting is important to prevent vaccine stock outs and contributes to higher immunization coverage; however, forecasting methodologies have their own unique challenges. To add to this challenge, zero-dose children are often not accounted for in forecasting estimates, contributing to their communities not being adequately reached with immunization services. This brief explores how forecasting approaches from other health areas could contribute to reaching zero-dose children such as by using data triangulation to estimate zero-dose children, using proxies to identify target populations, and using anonymized data for hierarchical forecasting.