02
Who experiences it
- Generator service companies and emergency fuel providers
- Property and facility-service operators
- EV charging and telecom network operations
- Logistics and cold-storage businesses
Loading evidence file
Loading evidence file
Turn fragmented live outage data into a prioritized operational response.
The operational problem
During a regional outage, public feeds, customer locations, critical-asset records and service workflows update at different speeds. Operations teams manually reconcile them while deciding which customers need a response first.
Who experiences it
Current workflow
Watch multiple utility and weather feeds
Cross-reference affected areas against customer spreadsheets
Call sites to confirm status and criticality
Prioritize jobs through email, phone and dispatcher judgment
Reconstruct the incident later from partial records
Interactive product demonstration
This is a front-end product thesis built with synthetic local data. Interact with the controls to inspect the proposed workflow; it does not represent a deployed customer system.
Refrigeration / 2.4 MW · restoration 16:30–18:00
Life safety / 800 kW · restoration Unknown
18 fast chargers · restoration 15:45
Synthetic events, customer locations and response figures. Utility feeds may be delayed or imprecise; every recommendation remains subject to operator confirmation.
What the proposed system does
Combines outage events with customer locations and critical-asset rules
Shows the source freshness and confidence behind each event
Ranks response by customer criticality, duration and restoration estimate
Recommends an action while leaving dispatch approval with the operator
Escalates unresolved critical sites using configurable rules
Replays historical events to evaluate thresholds and unnecessary responses
Required customer data
Data availability, rights and quality are assessed before a live pilot is scoped.
Expected measurable outcomes
Target outcome: shorten the path from a new event to an operator-reviewed decision.
Measure missed critical responses and unnecessary dispatches in historical replay.
Retain a reviewable timeline of source changes, recommendations and human decisions.
These are target outcomes and pilot hypotheses. Baselines, thresholds and measurement methods are agreed with the design partner before work begins.
08 / 30 / 60 / 90
The scope increases only when the previous stage establishes that the data, workflow and economics support it.
01 / evidence gate
Replay historical events against customer locations and quantify missed or unnecessary responses.
02 / evidence gate
Run a live pilot with alerts, prioritization and a dispatch workflow.
03 / evidence gate
Integrate work orders, CRM or service-management systems and roll out across multiple regions.
Typical price range
CAD $30,000–$60,000
Typical pilot range. Feed availability and work-order integrations determine final scope.
Prices shown in Canadian dollars, excluding applicable taxes and third-party data or licensing costs.Risks and limitations
11 / Design-partner intake
We are looking for operators who can test the product thesis against real constraints and help define what an operational version must do.
Discuss this project