99.99%
Platform uptime sustained across customer apps and operator dashboards on Azure architecture
EV truck charging network cuts billing cycles by 80% with Azure
Built a unified Azure data platform that automates billing and powers real-time decisions across the network.
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<5 min
Station availability and charging status refresh time, replacing overnight batch cycles that left data 12+ hours old
80%
Reduction in monthly billing cycle time after replacing manual CDR processing with automated reconciliation
Client Overview
Our client operates a fast-charging network for heavy electric vehicles across Norway, serving long-haul trucks, freight fleets, and electric buses. Stations deliver high-power DC charging with short turnaround stops that fit freight schedules.
The network is positioning itself as the charging backbone for Nordic electric freight, with expansion planned across Europe. EU emissions rules, carbon taxes, and shifts in the fleet toward electric trucks drive growth.
Challenges
A Norway-based EV truck charging network operator serving fleet operators and commercial logistics customers across the country. As transaction volumes and charging sites grew, manual processes and disconnected data systems slowed operations and raised financial risk across the business.
Billing errors from manual CDR entry
Manual processing of charge detail records in the ERP led to billing errors, slow monthly reconciliation cycles, and disputes with fleet customers.
Fragmented data across multiple systems
Charging, ERP, weather, and customer data were siloed behind disconnected APIs, preventing correlation between charging activity and costs, accounts, or conditions.
Stale data delayed real-time decisions
Station availability and charging status arrived through overnight batch refreshes, leaving customers and dispatchers acting on hours-old information.
Solution
Simform partnered with the client to design and deliver a unified Azure data platform that streamlined billing, consolidated operational data, and powered real-time decision-making across the network.
Multi-source ingestion with Azure Data Factory
Built Azure Data Factory pipelines to ingest data from Longship, Tripletex, Dataverse, and weather feeds, with automated retries and event-based triggers for real-time feeds.
Data processing and billing automation
Used Azure Databricks to clean and transform raw data, while Azure Functions automated billing and financial reconciliation against Tripletex ERP on a continuous schedule.
Real-time serving with Azure Cosmos DB
Built the serving layer on Cosmos DB using the PostgreSQL API, giving customer apps and operator tools fast access to charging history, invoices, and live station status.
Power BI dashboards with role-based access
Built role-specific Power BI dashboards covering station utilization, energy demand, downtime, and revenue trends, with standardized metrics and access tied to each user’s role.
Business Impact
The platform removed manual billing overhead, unified operational data across the network, and enabled real-time decisions for both operators and fleet customers.
Automated billing
Dashboard improvements reduced data refresh latency by 40%, enabling dealerships to respond instantly to market opportunities and customer needs.
99.99% uptime at scale
Consolidated charging, ERP, weather, and customer data into a single platform holding 99.99% uptime, ready to support multi-region expansion across Nordic and EU markets.
Real-time visibility
Replaced overnight batch refreshes with near-real-time data on station availability and charging status, enabling customers and dispatchers to act on current information.
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