Energy that stops drifting and a meter that warns you early across thousands of small-format sites.
Energy Intelligence for convenience stores: three accumulative tiers (Essential / Managed / Optimized),
a Data Enabler with three models that adapt to whatever metering you have today, product-specific add-ons,
platform-wide add-ons, and a Custom advisory layer. Built for chains where store labor is lean, footprint is small,
sites run 24 hours, and energy spend is meaningful when multiplied by fleet size — with no one to police it store by store.
ProductEnergy Intelligence (4 of 4)
SegmentConvenience stores — chains with distributed small-format sites
StatusDraft for internal review
Versionv1 · June 2026
00 Architecture
C-store offering: four products, one per asset class.
Each product has its own Essential / Managed / Optimized structure, its own Data Enabler, and its own set of product-specific add-ons.
This document covers Energy Intelligence. Platform-wide add-ons and the Custom layer apply across all four products.
Asset class: Site-wide energy consumption (electric, gas) — the meter and electrical panel, combining data across all assets, including fuel forecourt where in scope.
Pain points: Portfolio-wide visibility, outlier site detection at scale, savings capture across thousands of locations.
Candidate products under evaluation: Foodservice Equipment Reliability (where the C-store sells prepared food) and Fuel Systems Monitoring (regulated under EPA UST rules; pending Engineering confirmation).
01 Energy Intelligence
Executive summary
Impact: Read from the meter and electrical panel — site-wide energy spend visibility, anomaly detection on consumption, and the maintenance signal that comes with it, across thousands of small-format unattended c-stores. Measurable wins already at Managed, deepening at Optimized. Per-tier ranges in the Expected outcome row below.
What it solves: Runaway energy spend no lean store team can manually police, invoices that arrive too late to act on, consumption anomalies that go unnoticed until the bill lands, equipment left running through the night, and no circuit-level view of where the spend actually goes across the fleet.
Main value drivers
Energy savingsSustainability
01b Optimization Metrics
The metrics you'll want to optimize.
These are the operational metrics the product monitors. What changes across tiers is who acts on them — you (Essential), Keedian's Agentic Operations (Managed), or Keedian plus continuous tuning (Optimized) — and, where the data layer adds instrumentation, which signals become available.
The core metrics are summarized below. Full methodology, thresholds, diagnosis steps, and escalation criteria are in the Metrics Catalog.
Each metric includes definition, detection logic, diagnosis steps, recommended actions, escalation criteria, and prevention controls. Thresholds are reference values to be calibrated per client.
Each tier adds capabilities on top of the previous one. You never lose functionality by upgrading, and you can start at any tier.
Component
EssentialVisibility
ManagedAgentic Operations 24/7
OptimizedAgentic Operations + intelligence
Customer promise
"I can see what every store consumes, what it costs, and where energy is wasted — from my meter, my utility data, or my bill — across thousands of sites."
"Keedian watches my energy alarms and works the anomalies — abnormal consumption, demand spikes, and circuits heading for trouble — so my lean store teams do not have to."
"Keedian submeters my big loads, manages my demand and tariff exposure across the fleet, and captures verified savings — and the meter doubles as an early-warning system for failing equipment."
Expected outcome
Figures are expected (pending validation) unless anchored to a named customer benchmark (7-Eleven: $5M+ annual energy savings). Energy savings for small-format c-stores are intentionally conservative — below HVAC management — because climate control and refrigeration are the larger controllable loads, and the meter aggregates across them.
Site and portfolio dashboardsReal-time and historical visibility into the assets and metrics included in scope, with live alarms where applicable
Cross-site benchmarking with outlier detectionSee which locations drift from the fleet
Utility bill uploadDrop in monthly statements (CSV or PDF) to track spend alongside meter data and reconcile the two
Conversational AI AssistantNatural-language questions on your data plus automated anomaly detection across the fleet
And moreRole-based access, alarm history, data export, web and mobile parity
Everything in Essential
SLA tracking and service performanceLive SLA compliance against contractual targets per priority level
Standard CMMS integrationOut-of-the-box connectors for Fexa, Corrigo, ServiceNow and others; custom field maps or workflow adjustments may apply depending on your configuration
And moreClosure evidence on every ticket, weekly ops digest, post-incident reviews
Everything in Managed
Submetering and consumption-by-domain attributionBreak the bill into HVAC, lighting, refrigeration, and plug loads, and see each circuit on its own
Advanced and power-quality metricsCurrent, power factor, voltage, and abnormal-draw signals that turn the meter into an equipment-health tool
Demand and tariff analyticsPeak-shaving recommendations and time-of-use window analysis against your utility's rate model
IPMVP-compliant Measurement & VerificationRealized savings vs a contracted baseline, exportable for executive and ESG reporting
And moreCross-site benchmarking with savings ranking, custom optimization rules, executive briefing reports
Managed service scope
Identical regardless of Data Enabler model (A, B, or C)
No managed service.
You and your team read the dashboards, upload bills, and act on what you see.
24/7 energy operations:
Real-time alarm and ticket monitoring — Alarms and tickets generated from the assets and metrics included in scope are monitored, triaged, and worked by Keedian agents in real time, in accordance with the agreed operating procedures and escalation paths AI
Reactive CMMS intake — Tickets triggered by the customer's CMMS are ingested and routed into the same triage-and-resolve workflow, with our AI evaluating and enriching each one AI + Human
Energy remote resolution first — Every energy alarm — a demand-peak breach, an off-hours spike, a sustained over- or under-voltage, a circuit nearing its protection limit, or a site call about an outage — gets a remote diagnosis first: Keedian Ops works the meter data to pinpoint the cause, then guides the site to the fix or coordinates with the utility. The meter sees but does not command, so a truck roll is scheduled only when the fix is physical AI + Human
Field dispatch when needed — Keedian Ops creates the work order, hands off to the customer's CMMS, and tracks resolution against SLA Human
Root cause analysis on close — Every closed ticket includes a documented root cause and the corrective action taken, feeding into recurring-failure detection AI
Recurring-failure detection — Sites or units with repeat tickets are flagged for replacement or vendor escalation, with the recurrence pattern surfaced in the monthly executive report AI
Operations + intelligence:
Everything in Managed, plus
Predictive ticket origination (roadmap — coming later) — AI and multi-variable FDD logic use the assets, metrics, baselines, and predictive signals included in scope to open and work tickets for emerging fault patterns before a conventional alarm or customer report AI
Cross-product demand and tariff optimization — The energy meter is read-only — so at Optimized, where the customer also runs Keedian on HVAC, Lighting, or Refrigeration, Keedian Ops turns the meter's demand and tariff insight into load actions through THOSE products: pre-cool-and-coast, staggered start-ups, and shifting flexible load into off-peak windows to cut demand charges and time-of-use cost AI + Human
Savings capture and verification — Keedian continuously identifies energy savings opportunities and tracks each measure from recommendation through to realized, verified savings against the baseline and the next billing cycle — utility-incentive and demand-response program enrollment is delivered as a dedicated add-on AI + Human
Extended energy FDD coverage — Analytics-driven fault detection on the submetered and power-quality signals — short-cycling, off-cycle draw, and voltage events — is fully worked by Keedian Ops, aligned with the advanced metrics in Platform Capabilities AI
Reporting
Portfolio energy reportConsumption, peak demand, and spend across the fleet for the period, with normalized benchmarks (per site, per square foot) and month-over-month trend per metric
Site energy reportPer-site consumption, peak demand, off-hours floor, and cost, each with a benchmark band and monthly trend, plus the site's evolution and the windows where savings are available
Meter-vs-bill reconciliationMetered consumption contrasted against the utility invoice, with any divergence (CT ratio, multiplier, or billing error) flagged for recovery
Energy alarm volume and top sourcesAnomalies raised across the fleet (off-hours waste, demand-peak approaches, consumption step-changes), ranked by the sites and circuits generating the most; where submetering is present, consumption is split by domain (HVAC, lighting, refrigeration, plug loads)
Everything in Essential
SLA & MTTR performanceSLA compliance against contracted targets per priority level, with Mean Time to Resolution by priority for fleet and per-site, and monthly compliance and resolution-time trends
Reactive ticket activityReactive energy tickets received (site calls, CMMS, customer-initiated) categorized by type, with the cross-analysis of reactive vs proactive tickets including the % Keedian proactively initiated
Avoided truck rolls reportEnergy alarms diagnosed and resolved remotely without dispatch, with estimated cost savings
Managed-tier ROI reportEnergy spend recovered (off-hours waste corrected, anomalies and billing errors resolved) plus avoided truck rolls, monetized
Energy anomaly summaryBy site, by month: off-hours waste, demand-peak approaches, consumption step-changes, and power-quality events, with resolution time and root-cause distribution
Everything in Managed
Predictive alarm and ticket reportPower-quality and submeter faults caught proactively (short-cycling, voltage events), with prediction accuracy and lead time before operational impact
Optimized-tier ROI reportManaged ROI plus Demand and Tariff savings (executed through the customer's connected products) and Equipment Lifetime Extension from the meter's early-warning signals, adjusted by the site's utility billing model
IPMVP M&V quarterly reportFormal Measurement & Verification per IPMVP protocol vs the contracted baseline, backed by submetering where deployed; exportable for executive and ESG reporting
Outlier deep divesQuarterly analysis of bottom-quartile sites with root-cause analysis and recommended interventions
Monthly anomaly review SLA (delivered within 5 business days of month-end)
Quarterly review delivered within 10 business days of quarter-end
SLA from Managed
Quarterly captured savings target with shared accountability
Annual ESG report ready for board presentation
Pricing
HW provision, installation, and integration are one-time; subscription is recurring. Preliminary, subject to review.
Model A · Direct
HW provision base (gateway): $0/site
HW provision per meter (sensor pack): $0
Installation & commissioning: $0/site
Subscription: $0/site/month (up to 4 meters/site)
Model B · Connect
No HW provision, no installation
Integration: Free or paid — depends on integration scope (open-protocol metering is typically free; proprietary metering is quoted at SOW)
Subscription: $0/site/month (same as Model A)
Model C · Hybrid
Integration: Same as Model B — free or paid based on integration scope
Subscription: $0/site/month (same as Model A)
Model A · Direct
Everything in Essential, plus the subscription delta below
Subscription: $0/site/month
Model B · Connect
Subscription: $0/site/month (same as Model A)
Model C · Hybrid
Subscription: $0/site/month (same as Model A)
Model A · Direct
Everything in Managed, plus the subscription delta below
Subscription: Optimized-tier pricing is enterprise — defined per engagement scope
Model B · Connect
Subscription: Optimized-tier pricing is enterprise — defined per engagement scope
Model C · Hybrid
Subscription: Optimized-tier pricing is enterprise — defined per engagement scope
Pricing notes
Sites needing submetering beyond 4 measured circuits are scoped per engagement.
Volume discounts available as site count grows.
02a Add-ons
Adjacent capabilities, on top of any tier.
Add-ons activate on top of any tier and any Data Enabler model. Each is either Domain-specific (within a product domain) or Transversal (across any contracted product). Open an add-on for its hardware, value levers, and pricing — or browse the full add-ons catalog.
Domain-specific
Adjacent capabilities within the product domain. Hardware and pricing live on each add-on's page.
Standard connectors — Green Button, EnergyStar Portfolio Manager, and major utility APIs — pull interval consumption and cost straight from the utility, with no on-site hardware. Normalizes each utility's billing format and reconciles the pulled data against meter telemetry.
Automated audit of utility bills against tariff schedules and meter data across thousands of sites. Identifies billing errors, incorrect rate classes, and overcharges. Manages refund recovery.
Enrolls eligible sites and controllable loads in utility demand response programs at the portfolio level. Manages event response, post-event verification, and incentive collection. HVAC and other climate equipment are the primary curtailment lever.
Custom dashboards and one-off reports built to your spec, on top of the data Keedian already collects.
02b Advisory
An advisory layer, not a tier.
Tailored work for needs outside the standard packaging — scoped and priced per engagement, on top of any product and any tier. Keedian owns the connectivity and data layer; the physical asset stays with you and your vendors. Browse the full advisory catalog.
On-site work on the connectivity layer — sensor calibration, gateway and smart-thermostat installation, integration validation — plus coordination of your HVAC vendor for asset repairs.
Bespoke integrations with proprietary systems or clouds for which Keedian has no standard connector.
Transversal
All products
Pricing: project-based · scoped per engagement
02c How Agentic Operations works
A hybrid of AI agents and human operators, working as one service.
The Managed and Optimized tiers are delivered through Agentic Operations — AI agents and human operators working together against the same operational rules and the same SLA.
AI agents handle the routine, high-volume work. They monitor consumption in real time across thousands of sites, triage common false positives like meter read gaps and tariff-window noise, run anomaly detection on the meter and submeters (baseline drift, off-hours consumption, demand spikes), generate load-shifting and schedule recommendations, identify outlier sites in a fleet of thousands of similar locations, draft work orders with the suspected root cause, and verify closure with telemetry evidence. They work 24/7 against the consumption baselines you set.
Human operators handle the exceptions. When an anomaly requires conversation with the store manager, when a load-shedding change needs customer approval before acting, when a vendor escalation needs a human voice on the phone — that's the human side of the team. Operators also manage the customer relationship, refine the operating rules over time, and own the outcome reporting.
One service, one SLA, one accountability. The split between AI and human is invisible to you — you call Keedian, you read Keedian's reports, you measure Keedian against the contract. The internal mechanism evolves as the agentic stack matures; your contract does not change with it.
03 Data Enabler
We capture energy signal wherever it lives: our meters, your EMS, or both.
The Data Enabler is how the operational signal enters Keedian. We respect the investment you've already made in your building automation —
if you have a working BMS / EMS / smart meters, we connect to them. If you don't, we install hardware. If you have partial coverage, we fill the gaps.
The managed service, dashboards, SLA, and outcomes are identical across all three models.
Model A · Direct
Keedian Direct
When it applies
No usable metering today, or the existing meter cannot be read remotely.
What's included
Main-service energy meter + CTs
Site gateway, 15-minute interval data
Cost to you
Setup: $0/site (install designed for fast multi-site rollout)
Per meter: $0 (Essential/Managed) or $0 (Optimized, with submeter pack)
Standard recurring
Model B-Open · Connect
Open protocols
When it applies
You already have meters or an EMS that speak an open protocol.
What's included
Integration with your open-protocol meters / EMS
No new on-site hardware where the data is already there
Cost to you
No setup, no per-unit hardware
Recurring +$3/site/month vs. Model A
3-year minimum contract
Model B-Proprietary · Connect
Proprietary protocols
When it applies
You have metering, but it is locked to a vendor system.
What's included
Vendor-gateway integration, scoped per system
Reads your existing proprietary submeters into the platform
Cost to you
No setup, no per-unit hardware
Recurring +$5/site/month vs. Model A
3-year minimum contract
Model C · Hybrid
Partial coverage
When it applies
Some circuits are already metered and others are not.
What's included
Keedian metering where you have none, integration where you do
One combined data layer across new and existing meters
Cost to you
Scoped per site based on coverage
Setup and per-unit charges only on circuits that need Keedian hardware
Intermediate recurring
Why Keedian can absorb the integration cost: integrations are reusable across customers running the same BMS or metering platform.
The first build is the investment; every subsequent customer with the same system runs at high margin. With c-store customers averaging 3,500+ sites and 3-year contracts, the math works comfortably even on B-Proprietary integrations.
System classification
Maintained by Product + Engineering. Lets Sales quote on the spot without engineering scoping.
Classification is pre-assigned per system; any system not on this list requires Engineering review before quoting.
Model A · Direct
No BMS classification needed
No metering installed, or no remote read
Existing meter data is incomplete or unreliable
You prefer Keedian to own the metering layer
Model B-Open · +$3 / site / month
Open protocols
Existing revenue or sub-meters with an open protocol (Modbus, BACnet, pulse output)
Panel-level metering already installed on site
Energy management systems with documented APIs
Model B-Proprietary · +$5 / site / month
Proprietary protocols
Closed or legacy EMS without an open API
Proprietary submetering systems requiring vendor integration
Meters reachable only through a vendor cloud or gateway
Exception → Custom: If an integration takes more than ~300 hours of engineering, isn't reusable across customers,
or requires one-off development for a system without precedent, it falls outside Model B and is sold as Advisory work (section 02b).
04 Pricing example
Two scenarios, same customer.
A convenience-store chain with 500 sites, averaging 1 metered point per site (typical small-format c-store: main meter plus submeters on the major circuits — RTUs, refrigeration, forecourt). The only difference between scenarios is the tier and the Data Enabler.
A convenience-store chain with utility data and a few open-protocol meters wants portfolio-wide visibility of spend, demand, and overnight baseload waste across thousands of 24-hour sites — with little or no new hardware. Pricing shown is placeholder, pending finalization.
Item
Calculation
Total
Setup per site
500 × $0
$0
Hardware per meter (Essential, $0/meter)
500 × 1 × $0
$0
One-time subtotal
$0
Essential subscription (Model B-Open)
500 × $0 × 12
$0/year
Annual recurring subtotal
$0/year
Expected outcome across 500 sites
Overnight baseload waste and demand peaks made visible for every store
Spend reconciled to the meter — billing errors surfaced across the fleet
Savings: foundation tier — visibility, not active management (expected, pending validation).
The same chain adds Keedian submetering on the big loads — RTUs, refrigeration, forecourt — and turns on demand and tariff management plus savings capture. The meter now also flags failing equipment early. Pricing shown is placeholder, pending finalization.
Item
Calculation
Total
Setup per site
500 × $0
$0
Hardware per meter (Optimized, $0/meter)
500 × 1 × $0
$0
One-time subtotal
$0
Optimized subscription (Model A)
500 × $0 × 12
$0/year
Annual recurring subtotal
$0/year
Expected outcome across 500 sites
3–7% energy savings via demand, tariff, and off-hours management (expected, pending validation)
Earlier equipment intervention — fewer emergency truck rolls across the footprint (expected)
Verified savings plus board-ready ESG reporting
Your meter already knows which store wastes power overnight and which compressor is starting to fail — Optimized just puts Keedian to work on both, across all 500 sites.
05 Design notes
Why the structure is built this way.
Asset class is the energy meter
Energy Intelligence is anchored to the store's electrical metering, not one equipment type — the meter sees the whole building, from the forecourt to the back-of-house coolers.
Two-source discipline
Everything is derived from meter telemetry and the utility bill. No weather or occupancy normalization in this version — anomalies are flagged, not auto-attributed.
Savings stay below HVAC and refrigeration
At a c-store the biggest controllable loads are climate control and refrigeration, so Energy Intelligence savings claims are intentionally conservative versus the equipment-specific products.
Submetering is the Optimized differentiator
Essential runs on the main meter and utility data the customer already has; per-circuit submetering (Optimized) is what turns the meter into a maintenance tool across the fleet.
Utility integration is an add-on, not the enabler
Connecting to Green Button, utility APIs, or the bill is a software data integration (like CMMS integration) — offered as the Utility Data Integration add-on, separate from the physical Data Enabler that meters circuits.
Spend is an outcome, not a metric
The optimization metrics are the operational variables we monitor (consumption, demand, current); dollar spend and savings are consequences, reported on the scoreboard rather than alarmed on directly.
Off-hours is an alarm, not a metric
For a 24-hour c-store, baseload waste surfaces as alarms on the consumption and baseload metrics with their response SOPs — it is not a separate metric.
Same operating model as HVAC, but read-only
Intake, dispatch, RCA, and recurring-failure detection are transversal, so the energy product reuses the same Agentic Operations flow. Because the meter sees but does not command, remote resolution is energy-specific — diagnose and guide, never a remote command — and Optimized demand and tariff actions run through the customer’s other connected products.