The Evaluation Gap
Energy platforms are marketed on dashboards and integrations. But what separates a platform that pays back in months from one that collects dust?
Most systems give you charts. Very few tell you which equipment is wasting energy, why, and what to do about it. Without an intelligence layer, a monitoring platform becomes an expensive data logger.
Every factory already has PLCs, SCADA, and manual logbooks. A platform that can’t reuse existing sensors forces a rip-and-replace project — adding months to deployment and six figures to the budget.
Platforms that don’t fit existing workflows — reports in familiar formats, alerts via WhatsApp or email, mobile access — simply don’t get used. Low adoption = low ROI, regardless of the technology.
GHG Scope 1, 2 & 3 reporting is becoming mandatory across industries. A platform that can’t automate emissions accounting will require a second system and manual reconciliation within two years.
Criteria 1–5 · Sensor & Integration
Integration failures are the single most common reason energy monitoring projects stall after purchase. These five criteria determine whether a platform will slot into your facility — or fight it.
Criteria 6–9 · Dashboard Features
A strong dashboard does more than display numbers — it shows how power flows, where costs accumulate, and when demand is about to spike. These four criteria separate platforms that inform from those that simply display.
Criteria 10–12 · Equipment Intelligence
Most energy waste is invisible at the facility level. These three criteria test whether the platform can isolate inefficiency to the individual asset — and alert the right person before it costs you.
Criteria 13–16 · Usability & Access
A technically superior platform that nobody uses delivers zero ROI. These four criteria test whether the platform fits real workflows — for operators on the shop floor and managers in the boardroom.
Criteria 17–20 · Advanced Dashboards
Power quality, predictive maintenance, shift-team performance, and budget tracking are often absent from entry-level platforms. These four criteria separate a full-stack energy intelligence system from a basic monitoring tool.
Criteria 21–25 · AI & Intelligence
“AI-powered” is the most overused claim in industrial software. These five criteria cut through the marketing and test whether the intelligence layer actually drives action.
Financial Justification
A rigorous business case beats gut feel every time. Use the calculator below to model your expected returns — then stress-test with conservative and optimistic scenarios.
Based on industry benchmarks (20–30% avg. Year-1 savings). Actual results depend on facility baseline and implementation quality.
Collect 12 months of utility bills and any available sub-meter data. Calculate energy intensity (kWh per unit of output). This becomes your M&V baseline.
Industry benchmarks: 8–15% from operational changes alone; 20–30% with AI-driven recommendations. Apply a conservative 15% to your annual energy bill for the initial business case.
Include hardware, software licence, implementation, training, and Year 2+ support. Insist vendors break out Year 1 vs. Year 2 costs — hidden renewal fees are a common trap.
Use IPMVP Option B (equipment-level) or Option C (whole-facility). Ensure the platform supports automated M&V reporting so savings are auditable — not estimated.
Next Step
Skip the sandbox. We'll run a live assessment against your actual energy data and return a prioritised savings roadmap — no commitment required.
Trusted by 100+ industrial facilities worldwide · 20–30% avg. energy cost reduction · 3–6 months typical payback