Petrol station networks, motorway service areas, retail chains, EV hubs, logistics depots — operators of distributed infrastructure manage hundreds of sites, yet only see their energy consumption weeks later on an invoice. Alligator brings real-time visibility, operational intelligence and automated control to every network.
Despite highly complex operating environments — hundreds of sites, thousands of consumers — most network operators still rely on delayed billing, fragmented Building Management Systems (BMS) and manual evaluations. Three structural gaps remain permanently unresolved:
Consumption data arrives 4–6 weeks late via invoice. A faulty refrigeration unit, a heater left running overnight, an uncontrolled load spike — all remain invisible until the bill arrives.
Energy data exists in isolation — not linked to opening hours, throughput, weather data or operational events. Why is site 347 consuming 40% more than average today? Nobody knows.
Existing systems monitor energy but do not control it. Every optimisation measure — temperature adjustment, shutdown schedule, peak demand reduction — requires manual intervention. Simply impossible across 500 sites.
For operators of distributed infrastructure, energy typically accounts for 8–15% of the total operating budget. Individual sites may seem small – across a network, the leverage is enormous.
Indicative figures. Actual savings depend on site type, baseline and scope of measures.
Wherever many comparable sites with a similar energy profile are operated, centralised multisite management delivers the greatest impact.
24/7 operation, EV chargers, shop refrigeration, HVAC and lighting — for networks of 50–2,000 sites, central monitoring determines millions in savings potential.
Branches with the same layout and equipment — ideal conditions for cross-site benchmarks, normalised consumption models and automatic outlier detection.
Retail sector page →Refrigerated and frozen display cabinets dominate energy consumption. Real-time alerts on refrigeration failures protect stock and significantly reduce emergency repair costs.
Food retail sector page →Peak demand management at fast chargers, dynamic power distribution, billing evidence and grid connection optimisation — critical for charging network operators.
Peak demand calculator →Shift operation, dock doors, conveyor systems, cold zones — in logistics networks, a lack of control during idle periods creates a significant avoidable base load.
Logistics sector page →Thousands of unmanned sites, air conditioning and UPS systems running around the clock — automated anomaly detection and PUE monitoring enable savings without maintenance visits.
Three capabilities that make the difference — directly addressing the three structural gaps of distributed infrastructure:
Live dashboards with 15-minute granularity for all sites simultaneously. Anomaly alerts within seconds — via email, SMS or API webhook. No waiting for invoices.
Energy data is linked to operational data: opening hours, revenue, weather, seasonality. Automatic site-level benchmarks immediately show: is site 347 truly an outlier – or within the normal range?
Configurable control logic acts automatically: peak demand capping, shutdown schedules for off-peak periods, dynamic setpoint adjustment. Rules configured once apply across all sites simultaneously.
From around 10 sites, the savings potential from centralised monitoring clearly outweighs the implementation costs. For networks of 50 or more sites, typical payback periods of 6–18 months are realistic. Site size is the key factor: a network of 20 large logistics centres can be more profitable than 200 small office locations.
With standardised hardware packages and remote onboarding, a pilot rollout of 10–20 sites is achievable in 4–8 weeks. A full rollout across 100–500 sites is typically completed in 3–9 months, depending on the on-site infrastructure and available internal project team.
Yes. The platform supports hierarchical site management: Region → District → Site → Asset → Meter. Each site can have its own alarm thresholds, EnPIs and benchmarks — while headquarters analyses all sites comparatively.
Alligator natively supports all common energy metering protocols: M-Bus, Modbus TCP/RTU, OPC-UA, MQTT, BACnet and smart meter interfaces (S0, DLMS/COSEM). For legacy systems without protocol support, there is retrofittable IoT gateway hardware — no protocol gateway middleware layer required.
Alligator maps the entire ISO 50001 documentation across all sites: EnPIs, target tracking, measures and internal audit reports in a single system. Group-wide ISO 50001 certifications with scope extension to all sites become achievable with a single EnMS.
In a 30-minute call we analyse your network, estimate the savings potential and show how a pilot of 5–10 sites can start within weeks.