The meter, the invoice and the app say the same thing

We reconcile metering, market, and charging data so billing and operational teams can explain differences and work from agreed records.

Virtual prosumer settlement that arrives on time

Generation sits at one location and consumption at another, leaving the customer waiting months for a correcting invoice.
SOLUTION:
Allocate generation to the relevant consumption points using the settlement intervals, pricing basis, and allocation rules applicable to the scheme.
RESULT:
Traceable settlement calculations, with exceptions identified before billing and statements that explain how each amount was calculated.

One reading, not a second version beside it

Billing records can diverge from the metering data exchanged through market systems such as Poland’s CSIRE, leaving teams to resolve differences late in the billing cycle.
SOLUTION:
Reconcile the metering points, intervals, and data versions in scope against the designated market records, using agreed validation rules and an exception queue.
RESULT:
Traceable readings and a manageable queue of discrepancies to resolve before billing.

Charging sessions reconciled with billing and payments

Chargers, roaming partners, and payment providers all count sessions differently, leaving gaps that have to be closed by hand.
SOLUTION:
Match charging sessions and charge detail records to roaming, billing, and payment records using identifier mappings, agreed tolerances, and explicit handling of exceptions.
RESULT:
A repeatable reconciliation process, with unmatched sessions, settlement differences, and supporting evidence ready for investigation or partner disputes.

Consistent tariff data from display to billing

Tariffs, session conditions, and billing rules can be updated in different systems, making it difficult to explain how the final charge was calculated.
SOLUTION:
Maintain versioned tariff data and distribute it to the relevant channels, preserving the tariff and conditions applicable to each session.
RESULT:
A traceable link between the displayed tariff, the session conditions, and the invoiced amount, with discrepancies flagged for review.

Interval data without an interval-sized bill

Smart meters generate a massive flood of time-series data, causing cloud storage and platform bills to grow much faster than the customer base.
SOLUTION:
Implement purpose-built time-series storage and querying, with data retention policies tailored to specific business use cases rather than stored by default.
RESULT:
Queryable interval history with retention, query performance, and cost per meter or data volume measured against the agreed requirements.