The startup develops a digital tool that automates gas delivery through Internet of Things-enabled smart meters, allowing enterprise customers to monitor the location and movement of gas cylinders throughout the retail value chain. This technology enables low-income households to order pre-paid gas quantities that match their financial capabilities, improving access to essential energy resources.
Funding
$300K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many households and businesses in West Africa lack reliable access to Liquified Petroleum Gas (LPG) due to difficulties in monitoring gas levels, managing cylinder assets, and optimizing delivery logistics. Traditional methods often lead to unexpected gas outages, inefficient distribution, and increased costs for both consumers and suppliers.
Solution
Homefort Energy provides a technology platform that leverages IoT-enabled smart meters to automate LPG delivery and management. Their solution allows real-time monitoring of gas consumption, enabling timely refills and preventing downtime for users. For businesses, Homefort offers asset tracking and optimized delivery routes, reducing logistical costs and improving overall efficiency. The platform also facilitates access to LPG for low-income households by enabling purchases of pre-paid gas quantities tailored to their budget.
Target Audience
Homefort Energy targets both individual households and businesses in West Africa, particularly Nigeria, seeking reliable and cost-effective LPG solutions.
Features
- IoT-enabled smart meters for real-time gas consumption monitoring.
- Mobile app for users to track gas levels and order refills.
- Asset management tools for businesses to track cylinders across the distribution network.
- Optimized delivery routes based on real-time consumption data, reducing logistical costs.
- Prepaid gas options for flexible purchasing.
- Data analytics to predict consumption patterns and prevent outages.