How Centralized Energy Consumption Data Enabled Smart Pricing and Tariff Optimization for Solar-as-a-Service Provider in Senegal
Client
Husk Power, Senegal
Sector
Energy Tech
Geography
Senegal, East Africa
Services
Consumption Analytics · Tariff Intelligence
Unified
Complete consumption view across all mini-grid sites — one platform replacing disconnected site logs.
Network IntelligenceData-driven
Tariff and pricing decisions grounded in real consumption patterns — not partial estimates.
ArchitectureConsistent
Community billing accuracy — fair, transparent charges communities can understand and trust.
Billing IntelligenceThe Client
Husk Power — delivering clean electricity to Senegal's off-grid communities
Husk Power is a leading solar service provider delivering clean, reliable electricity to off-grid and underserved communities in Senegal. The company operates hybrid solar mini-grids that power households, small businesses, and community infrastructure.
The Challenge
The off-grid pricing dilemma — and why data is the only way to solve it
Husk Power collects data through multiple disconnected systems. Each site used different reporting formats and data frequently arrived late or incomplete. This made it difficult for the company to track real consumption patterns or understand which communities needed tariff adjustments.
Pricing decisions were often based on partial information, causing inefficiencies in cost recovery, customer billing, and long-term energy planning. Without a unified view of operations, the company struggled to balance profitability with affordability.
Pricing decisions were often based on partial information, causing inefficiencies in cost recovery, customer billing, and long-term energy planning. Without a unified view of operations, the company struggled to balance profitability with affordability.
The Goal
Real-time visibility across every site — consumption, billing, pricing, and peak load in one unified platform
The company needed a centralized data infrastructure that could automatically consolidate consumption metrics from all mini-grid sites. The objective was to achieve real-time visibility into all data sources to support usage analysis, smart pricing, operational efficiency, and strategic tariff optimization.
The Solution
A unified energy data engineering platform — from disconnected site logs to network-wide intelligence
A unified data engineering system was implemented to automate the collection and processing of all energy consumption data. All data sources were connected to a cloud-based data warehouse through standardized ingestion pipelines.
Usage Analysis
Consumption trends by community, category, and time period.
Peak Load Intelligence
Daily and seasonal demand patterns — grid planning inputs.
Billing Consistency
Accurate, community-level billing based on real consumption.
Tariff Simulation
Scenario modelling before any pricing decision is applied.
The Result
Faster cycles, better decisions, stronger community trust
Husk Power gained a complete and accurate view of energy consumption across its entire network. Pricing and tariff adjustment became data-driven, allowing the company to set fair, sustainable rates while improving revenue stability.
Communities received more consistent billing, and operational planning improved due to better visibility into peak usage and grid performance. The central system reduced manual work, enhanced forecasting accuracy, and strengthened the company's ability to scale into new regions.
Every site's consumption data flowed automatically into a unified view that previously required hours of cross-referencing to approximate.
Fair, sustainable rates were set from actual consumption patterns — and the tariff simulation capability enabled the team to model the revenue impact of any adjustment before applying it to communities. No more pricing changes made without evidence.
Consistent, accurate billing based on real consumption replaced the estimates and manual reconciliations that had generated billing disputes and eroded community trust.
Understanding exactly when and how different community types consumed electricity gave the operations team data to plan maintenance windows, manage grid capacity, and anticipate demand spikes before they became service disruptions.
What our clients say
Featured Case Study
How Leveraging Advanced Data Strategies Help Achieve Significant Improvements in Marketing Performance and Investment Support Within the Solar Energy Sector
70% Sales visibility improvement — marketing teams identifying high-converting campaigns with precision.
Real-Time Operational Visibility That Cut Weekly Reporting Time by 95% Across Nine Fuel Stations
95% Reduction in reporting time.
Ready to make your data work harder?
Discuss how Delovox can unlock the full potential of your data and drive measurable business growth. The first consultation is on us.