U.A.I Technologies
Utility Asset Intelligence
Frequently asked questions
What is the LivMeter platform and what does it do?
Answer: LivMeter is a data and workflow platform that ingests multiple data sources through a robust integration layer, normalizes meter readings, and provides configurable application modules for billing, quality inspection, and operational workflows. It produces draft invoices, flags anomalies (zero, unusually high, or historically deviant consumption), and surfaces alerts and notifications for Property Managers, ESG Reprting, AMR/AMI Providers, Utility Billing Companies and Municipalities.
How does LivMeter handle invoice and transaction management?
Answer: The platform generates draft invoices for property managers to review and approve. Final invoices can be produced inside LivMeter or exported to external accounting systems via outbound APIs to close the transaction loop. The system supports draft review, approval workflows, and outbound integrations to external billing or accounting platforms.
What are the core components of the platform?
Answer: The product is modular and includes a homepage workflow builder where administrators configure modules and access levels. Key components include data ingestion/integration, tariff and billing logic, draft invoice generation, property and user management, alerts/notifications, and dashboarding/reporting.
How does property and user management work?
Answer: Administrators can create properties with rich metadata, upload vendor invoices, and onboard property managers with credentials tied to specific properties. Manager access is dynamically updated based on assigned properties. The platform supports bulk upload of existing consumer units and onboarding of new units, with property managers responsible for new consumer IDs or units.
How are move‑in and move‑out processes handled?
Answer: The platform supports configurable move‑in/move‑out modules where property managers can record expected dates and upload documents. Approval workflows can be configured for final move‑out confirmation. Once a unit is confirmed vacant, it is flagged until a new move‑in is registered.
How are tariffs configured and applied?
Answer: Tariffs are configurable to support fixed charges and slab‑based rules across utilities (water, gas, energy). Billing logic runs against these tariff definitions to calculate charges based on consumption data and configured rules.
What raw consumption data does LivMeter require and how is it processed?
Answer: The platform ingests raw meter readings (reading timestamp, cumulative consumption, reading value) via API or file feeds. A SQL‑based reporting engine processes the data, calculates consumption, estimates missed readings, and applies tariff logic. The engine also flags anomalies and generates billing reports.
What does a draft bill include and how are anomalies shown?
Answer: Draft bills show last and next meter readings, consumption difference, applied tariff rate, billing period, consumer and meter IDs, and any estimation or anomaly flags (for example, high consumption compared to historical patterns). Property managers review and approve drafts before finalization.
Can the platform detect anomalies and generate alerts?
Answer: Yes. The system runs configurable rules and historical comparisons to detect anomalies such as zero reads, spikes, or deviations. Alerts and notifications can be configured to notify property managers or end consumers via email or SMS.
How customizable is the platform and what is the configuration model?
Answer: The platform is built on a no‑code/low‑code configuration model. Data schemas, billing logic, and draft invoice templates are configurable through UI builders. PDF invoices and UI elements can be customized without code changes.
What dashboarding and reporting capabilities exist?
Answer: A BI‑style dashboard layer provides visibility into properties, consumers, invoices, and collections. Dashboards are filterable by property, compare vendor vs. consumer bills, and surface KPIs. Scheduled summary reports (daily, weekly, monthly) can be emailed to users.
How does LivMeter integrate with external systems?
Answer: The integration suite supports API connections with different authentication methods for near‑real‑time data ingestion. The platform can also accept CSV uploads via SFTP or SharePoint when direct API integration is not feasible. Incoming data is warehoused and used to run billing and analytics logic.
What are practical workarounds if a third‑party system is closed to integrations?
Answer: When direct API integration is difficult, the platform supports SFTP/SharePoint CSV uploads, automated email/FTP reports, or manual CSV exports from the source system. These approaches reduce manual effort and avoid costly bespoke integrations.
Can LivMeter integrate with property management systems?
Answer: LivMeter can integrate with Property Management Systems via REST APIs where possible. In practice, some property platforms promote their own utility solutions and may require a vendor onboarding process. Typical minimum integration costs for closed systems can be significant; as a lower‑cost alternative, CSV/SFTP or automated report transfers are often used to sync necessary data.
What functionality does the consumer portal provide?
Answer: Consumers access a portal with individual logins to view and download current and historical bills, monitor average daily and monthly usage, compare consumption trends, set SMS/email alerts, raise move‑out or disconnection requests, and delegate other users. The portal is configurable to show selected KPIs and graphs.
How granular can consumer data and analysis be?
Answer: If hourly or sub‑hourly data is available from meters, the portal can display hourly consumption trends, day/night comparisons, and peak/non‑peak usage. The platform can also surface event analysis (e.g., outages or voltage anomalies) when meters provide that data. The display can be simplified for consumers while retaining granular data for analytics.
What are typical data frequency recommendations for trials?
Answer: The platform can accept daily readings and higher frequencies (two, six times per day, or more). For trials, collecting the maximum available frequency is recommended so the platform can control what is shown to consumers while preserving granular data for trend analysis and anomaly detection.
How are trials typically set up and what data is required?
Answer: Trials are commonly run on a set of properties using different submeter systems to validate end‑to‑end billing cycles. Required data includes meter reading files (timestamps and values), any available alert/outage data, and current reporting exports (CSV). Initial setups often use manual CSV uploads, then move to automated feeds once validated.
What are the steps to start a trial or integration?
Answer: Provide sample meter reading files (frequency noted), any available alert/outage data, and existing reports used for billing or forecasting. The platform team will configure tariff rules, ingestion mappings, and draft invoice templates, then run a test billing cycle for review and approval.
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