In Nigeria, CRS partnered with the National Malaria Elimination Program to introduce mobile technology to distribute 13.6 million LLINs through mass campaigns across four states (Ogun, Jigawa, Katsina, Gombe) in 2018. The system provides real-time data to better manage distributions and ensures nets reach the right people. In Gombe state, CRS distributed 2 million LLINs at 868 locations in less than one week, achieving a redemption rate of 98.5%. By employing a GIS-enabled mobile platform called Cash and Asset Transfer (CAT), technology also increases assurance that goods can reach the intended individuals. During 2018 CRS used CAT to distribute more than 13.6 million long lasting insecticide-treated mosquito nets to 6 million households in Nigeria via distribution points. 54,000 household mobilizers were trained to use CAT. Program teams used CAT — and over 6,000 smartphones — to track training attendance of household mobilizers, register households, manage distributions, and monitor coverage. This improved accountability, data quality, and reduced the time required for household registration and LLIN distributions. In the Gambia in 2014, CRS supported the Gambia’s National Malaria Control Program (NMCP) in distributing long-lasting insecticidal nets throughout the country. Using tablets with configurable electronic forms, CRS program staff delivered and accounted for 971,665 LLINs in four weeks! CRS used tablets configured with a cloud-based mobile data collection platform, to streamline household registration, LLIN tracking, and distribution via distribution points. Program staff registered eligible recipients using electronic forms that recorded the location and the number of LLINs needed per household. This information was used to load delivery trucks, ensuring that the right type and number of nets were sent to the right place at the right time. Unique bar-coded vouchers (one per net) were issued to the head of household. During distribution, vouchers were redeemed by scanning bar codes into the system, which sent the data to a remote server for processing. In areas with no internet access, the data was stored on the tablets until it could be uploaded. The data was exported to an online platform that enabled staff to create reports, charts and dashboards for easy analysis.